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ORCIDCVPR 2019: Long Beach, CA, USA
- IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019. Computer Vision Foundation / IEEE 2019
- Hongyang Li, David Eigen, Samuel Dodge, Matthew Zeiler, Xiaogang Wang:
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. 1-10 - Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo:
Edge-Labeling Graph Neural Network for Few-Shot Learning. 11-20 - Spyros Gidaris, Nikos Komodakis:
Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning. 21-30 - Chen Wang
, Jianfei Yang, Lihua Xie, Junsong Yuan:
Kervolutional Neural Networks. 31-40 - Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf:
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem. 41-50 - Yusuke Tsuzuku, Issei Sato:
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions. 51-60 - Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan L. Yuille:
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization. 61-71 - Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou:
Hardness-Aware Deep Metric Learning. 72-81 - Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei:
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. 82-92 - Donggeun Yoo, In So Kweon:
Learning Loss for Active Learning. 93-102 - Salman H. Khan, Munawar Hayat, Syed Waqas Zamir, Jianbing Shen, Ling Shao:
Striking the Right Balance With Uncertainty. 103-112 - Ekin D. Cubuk, Barret Zoph, Dandelion Mané, Vijay Vasudevan, Quoc V. Le:
AutoAugment: Learning Augmentation Strategies From Data. 113-123 - Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung:
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences. 124-133 - Thomas Schöps, Torsten Sattler, Marc Pollefeys:
BAD SLAM: Bundle Adjusted Direct RGB-D SLAM. 134-144 - Francesco Pittaluga, Sanjeev J. Koppal, Sing Bing Kang, Sudipta N. Sinha:
Revealing Scenes by Inverting Structure From Motion Reconstructions. 145-154 - Giljoo Nam, Chenglei Wu, Min H. Kim, Yaser Sheikh:
Strand-Accurate Multi-View Hair Capture. 155-164 - Jeong Joon Park, Peter R. Florence, Julian Straub, Richard A. Newcombe, Steven Lovegrove:
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. 165-174 - Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely:
Pushing the Boundaries of View Extrapolation With Multiplane Images. 175-184 - Feihu Zhang, Victor Adrian Prisacariu, Ruigang Yang, Philip H. S. Torr:
GA-Net: Guided Aggregation Net for End-To-End Stereo Matching. 185-194 - Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano:
Real-Time Self-Adaptive Deep Stereo. 195-204 - Sunok Kim, Seungryong Kim, Dongbo Min, Kwanghoon Sohn:
LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation. 205-214 - Chen Zhao, Zhiguo Cao, Chi Li, Xin Li, Jiaqi Yang:
NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences. 215-224 - Matthew Trager, Martial Hebert, Jean Ponce:
Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry. 225-233 - Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang, Jingming Yu, Pan Pan, Xin Yang, Ligang Liu, Zixiang Xiong, Shuguang Cui:
Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image. 234-243 - Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman:
Video Action Transformer Network. 244-253 - Noureldien Hussein, Efstratios Gavves, Arnold W. M. Smeulders:
Timeception for Complex Action Recognition. 254-263 - Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry S. Davis, Jan Kautz:
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. 264-272 - Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid:
Relational Action Forecasting. 273-283 - Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick:
Long-Term Feature Banks for Detailed Video Understanding. 284-293 - Yuke Li:
Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes. 294-303 - Paritosh Parmar, Brendan Tran Morris:
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment. 304-313 - Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou:
MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation. 314-323 - Ruohan Gao, Kristen Grauman:
2.5D Visual Sound. - Weining Wang, Yan Huang, Liang Wang:
Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model. 334-343 - Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei:
Gaussian Temporal Awareness Networks for Action Localization. 344-353 - Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra:
Efficient Video Classification Using Fewer Frames. 354-363 - Lu Yang, Qing Song, Zhihui Wang, Ming Jiang:
Parsing R-CNN for Instance-Level Human Analysis. 364-373 - Yue Wu, Yinpeng Chen, Lijuan Wang, Yuancheng Ye, Zicheng Liu, Yandong Guo, Yun Fu:
Large Scale Incremental Learning. 374-382 - Lyne P. Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian D. Reid, Silvio Savarese:
TopNet: Structural Point Cloud Decoder. 383-392 - Yifan Sun, Qin Xu, Yali Li, Chi Zhang, Yikang Li, Shengjin Wang, Jian Sun:
Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification. 393-402 - Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning for Few-Shot Learning. 403-412 - Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, Ian D. Reid:
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation. 413-422 - Bo Pang, Kaiwen Zha, Hanwen Cao, Chen Shi, Cewu Lu:
Deep RNN Framework for Visual Sequential Applications. 423-432 - Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis:
Graph-Based Global Reasoning Networks. 433-442 - Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo:
SSN: Learning Sparse Switchable Normalization via SparsestMax. 443-451 - Yongming Rao, Jiwen Lu, Jie Zhou:
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition. 452-460 - Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari:
Learning to Generate Synthetic Data via Compositing. 461-470 - Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer:
Divide and Conquer the Embedding Space for Metric Learning. 471-480 - Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Latent Space Autoregression for Novelty Detection. 481-490 - Vinod Kumar Kurmi, Shanu Kumar, Vinay P. Namboodiri:
Attending to Discriminative Certainty for Domain Adaptation. 491-500 - Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He:
Feature Denoising for Improving Adversarial Robustness. 501-509 - Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang:
Selective Kernel Networks. 510-519 - Dushyant Mehta, Kwang In Kim, Christian Theobalt:
On Implicit Filter Level Sparsity in Convolutional Neural Networks. 520-528 - Xingyu Liu, Charles R. Qi, Leonidas J. Guibas:
FlowNet3D: Learning Scene Flow in 3D Point Clouds. 529-537 - Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese:
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. 538-547 - Hang Zhang, Han Zhang, Chenguang Wang, Junyuan Xie:
Co-Occurrent Features in Semantic Segmentation. 548-557 - Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li:
Bag of Tricks for Image Classification with Convolutional Neural Networks. 558-567 - Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, Qi Tian:
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks. 568-577 - Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan:
Knowledge Adaptation for Efficient Semantic Segmentation. 578-587 - Zhezhi He, Adnan Siraj Rakin, Deliang Fan:
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. 588-597 - Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang:
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification. 598-607 - Xiaoxiao Sun, Liang Zheng:
Dissecting Person Re-Identification From the Viewpoint of Viewpoint. 608-617 - Zhixiang Wang, Zheng Wang, Yinqiang Zheng, Yung-Yu Chuang, Shin'ichi Satoh:
Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification. 618-626 - Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang:
Progressive Feature Alignment for Unsupervised Domain Adaptation. 627-636 - Xiaofeng Liu, Site Li, Lingsheng Kong, Wanqing Xie, Ping Jia, Jane You, B. V. K. Vijaya Kumar:
Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition. 637-646 - Thibaut Durand, Nazanin Mehrasa, Greg Mori:
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels. 647-657 - Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian D. Reid, Silvio Savarese:
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression. 658-666 - Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen:
Densely Semantically Aligned Person Re-Identification. 667-676 - Kaiyue Pang, Ke Li, Yongxin Yang, Honggang Zhang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song:
Generalising Fine-Grained Sketch-Based Image Retrieval. 677-686 - Xinge Zhu, Jiangmiao Pang, Ceyuan Yang, Jianping Shi, Dahua Lin:
Adapting Object Detectors via Selective Cross-Domain Alignment. 687-696 - Yunhang Shen, Rongrong Ji, Yan Wang, Yongjian Wu, Liujuan Cao:
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation. 697-707 - Aron Yu, Kristen Grauman:
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes. 708-718 - Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Generalizable Person Re-Identification by Domain-Invariant Mapping Network. 719-728 - Hao Guo, Kang Zheng, Xiaochuan Fan, Hongkai Yu, Song Wang:
Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification. 729-739 - Song Bai, Peng Tang, Philip H. S. Torr, Longin Jan Latecki:
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification. 740-749 - Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang:
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization. 750-759 - Jingke Meng, Sheng Wu, Wei-Shi Zheng:
Weakly Supervised Person Re-Identification. 760-769 - Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud. 770-779 - Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik G. Learned-Miller:
Automatic Adaptation of Object Detectors to New Domains Using Self-Training. 780-790 - Jiaxin Chen, Jie Qin, Li Liu, Fan Zhu, Fumin Shen, Jin Xie, Ling Shao:
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing. 791-800 - He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang:
Generative Dual Adversarial Network for Generalized Zero-Shot Learning. 801-810 - Bharti Munjal, Sikandar Amin, Federico Tombari, Fabio Galasso:
Query-Guided End-To-End Person Search. 811-820 - Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin:
Libra R-CNN: Towards Balanced Learning for Object Detection. 821-830 - Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, Dahua Lin:
Learning a Unified Classifier Incrementally via Rebalancing. 831-839 - Chenchen Zhu, Yihui He, Marios Savvides:
Feature Selective Anchor-Free Module for Single-Shot Object Detection. 840-849 - Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl:
Bottom-Up Object Detection by Grouping Extreme and Center Points. 850-859 - Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen:
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples. 860-868 - Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz:
SCOPS: Self-Supervised Co-Part Segmentation. 869-878 - Yanchao Yang, Antonio Loquercio, Davide Scaramuzza, Stefano Soatto:
Unsupervised Moving Object Detection via Contextual Information Separation. 879-888 - Song-Hai Zhang, Ruilong Li, Xin Dong, Paul L. Rosin, Zixi Cai, Xi Han, Dingcheng Yang, Haozhi Huang, Shi-Min Hu:
Pose2Seg: Detection Free Human Instance Segmentation. 889-898 - Guorun Yang, Xiao Song, Chaoqin Huang, Zhidong Deng, Jianping Shi, Bolei Zhou:
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios. 899-908 - Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su:
PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding. 909-918 - Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li:
A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing. 919-928 - Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Unsupervised Learning of Consensus Maximization for 3D Vision Problems. 929-938 - Danna Gurari, Qing Li, Chi Lin, Yinan Zhao, Anhong Guo, Abigale Stangl, Jeffrey P. Bigham:
VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People. 939-948 - Yueqi Duan, Yu Zheng, Jiwen Lu, Jie Zhou, Qi Tian:
Structural Relational Reasoning of Point Clouds. 949-958 - Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu:
MVF-Net: Multi-View 3D Face Morphable Model Regression. 959-968 - Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey:
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. 969-978 - Matteo Poggi, Davide Pallotti, Fabio Tosi, Stefano Mattoccia:
Guided Stereo Matching. 979-988 - Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney, Kostas Daniilidis:
Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion. 989-997 - Shiyi Lan, Ruichi Yu, Gang Yu, Larry S. Davis:
Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN. 998-1008 - Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari:
3D Point Capsule Networks. 1009-1018 - Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, Xiaogang Wang:
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving. 1019-1028 - Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao:
Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding. 1029-1037 - Weiyue Wang, Duygu Ceylan, Radomír Mech, Ulrich Neumann:
3DN: 3D Deformation Network. 1038-1046 - Cheng Sun, Chi-Wei Hsiao, Min Sun, Hwann-Tzong Chen:
HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation. 1047-1056 - Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou:
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection. 1057-1066 - Seungryul Baek, Kwang In Kim, Tae-Kyun Kim:
Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering. 1067-1076 - Muhammed Kocabas, Salih Karagoz, Emre Akbas:
Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry. 1077-1086 - Tsun-Yi Yang, Yi-Ting Chen, Yen-Yu Lin, Yung-Yu Chuang:
FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image. 1087-1096 - Yuxiang Zhou, Jiankang Deng, Irene Kotsia, Stefanos Zafeiriou:
Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders. 1097-1106 - Wei Tang, Ying Wu:
Does Learning Specific Features for Related Parts Help Human Pose Estimation? 1107-1116 - Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang:
Linkage Based Face Clustering via Graph Convolution Network. 1117-1125 - Luan Tran, Feng Liu, Xiaoming Liu:
Towards High-Fidelity Nonlinear 3D Face Morphable Model. 1126-1135 - Kai Zhao, Jingyi Xu, Ming-Ming Cheng:
RegularFace: Deep Face Recognition via Exclusive Regularization. 1136-1144 - Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian:
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation. 1145-1154 - Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou:
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction. 1155-1164 - Mahdi Abavisani, Hamid Reza Vaezi Joze, Vishal M. Patel:
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training. 1165-1174 - Thiemo Alldieck, Marcus A. Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll:
Learning to Reconstruct People in Clothing From a Single RGB Camera. 1175-1186 - Ancong Wu, Wei-Shi Zheng, Xiaowei Guo, Jian-Huang Lai:
Distilled Person Re-Identification: Towards a More Scalable System. 1187-1196 - Sathyanarayanan N. Aakur, Sudeep Sarkar:
A Perceptual Prediction Framework for Self Supervised Event Segmentation. 1197-1206 - Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou:
COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis. 1207-1216 - Chenchen Liu, Xinyu Weng, Yadong Mu:
Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization. 1217-1226 - Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan:
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition. 1227-1236 - Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li:
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. 1237-1246 - Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, Larry S. Davis:
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment. 1247-1257 - Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman:
Less Is More: Learning Highlight Detection From Video Duration. 1258-1267 - Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan:
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition. 1268-1277 - Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis:
AdaFrame: Adaptive Frame Selection for Fast Video Recognition. 1278-1287 - Yang Feng, Lin Ma, Wei Liu, Jiebo Luo:
Spatio-Temporal Video Re-Localization by Warp LSTM. 1288-1297 - Daochang Liu, Tingting Jiang, Yizhou Wang:
Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization. 1298-1307 - Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li:
Unsupervised Deep Tracking. 1308-1317 - Zhen He, Jian Li, Daxue Liu, Hangen He, David Barber:
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers. 1318-1327 - Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H. S. Torr:
Fast Online Object Tracking and Segmentation: A Unifying Approach. 1328-1338 - Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas:
Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters. 1339-1348 - Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, Hamid Rezatofighi, Silvio Savarese:
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints. 1349-1358 - Silvio Giancola, Jesus Zarzar, Bernard Ghanem:
Leveraging Shape Completion for 3D Siamese Tracking. 1359-1368 - Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang:
Target-Aware Deep Tracking. 1369-1378 - Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang:
Spatiotemporal CNN for Video Object Segmentation. 1379-1388 - Wenjie Yang, Houjing Huang, Zhang Zhang, Xiaotang Chen, Kaiqi Huang, Shu Zhang:
Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification. 1389-1398 - Yi Wang, Xin Tao, Xiaoyong Shen, Jiaya Jia:
Wide-Context Semantic Image Extrapolation. 1399-1408 - Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim:
End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image. 1409-1418 - Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai:
GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images. 1419-1428 - Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang:
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis. 1429-1437 - Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai:
Pluralistic Image Completion. 1438-1447 - Wenguan Wang, Shuyang Zhao, Jianbing Shen, Steven C. H. Hoi, Ali Borji:
Salient Object Detection With Pyramid Attention and Salient Edges. 1448-1457 - Yazeed Alharbi, Neil Smith, Peter Wonka:
Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation. 1458-1466 - Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang:
Attention-Aware Multi-Stroke Style Transfer. 1467-1475 - Minyoung Huh, Shao-Hua Sun, Ning Zhang:
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks. 1476-1485 - Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo:
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting. 1486-1494 - Miao Wang, Guo-Ye Yang, Ruilong Li, Runze Liang, Song-Hai Zhang, Peter M. Hall, Shi-Min Hu:
Example-Guided Style-Consistent Image Synthesis From Semantic Labeling. 1495-1504 - Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao:
MirrorGAN: Learning Text-To-Image Generation by Redescription. 1505-1514 - Eric Wengrowski, Kristin J. Dana:
Light Field Messaging With Deep Photographic Steganography. 1515-1524 - Yijun Li, Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang:
Im2Pencil: Controllable Pencil Illustration From Photographs. 1525-1534 - Mahmoud Afifi, Brian L. Price, Scott Cohen, Michael S. Brown:
When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images. 1535-1544 - Chia-Yin Tsai, Aswin C. Sankaranarayanan, Ioannis Gkioulekas:
Beyond Volumetric Albedo - A Surface Optimization Framework for Non-Line-Of-Sight Imaging. 1545-1555 - Abhijith Punnappurath, Michael S. Brown:
Reflection Removal Using a Dual-Pixel Sensor. 1556-1565 - Felipe Gutierrez-Barragan, Syed Azer Reza, Andreas Velten, Mohit Gupta:
Practical Coding Function Design for Time-Of-Flight Imaging. 1566-1574 - Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun:
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution. 1575-1584 - Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu:
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. 1585-1594 - Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang:
Learning Attraction Field Representation for Robust Line Segment Detection. 1595-1603 - Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong:
Blind Super-Resolution With Iterative Kernel Correction. 1604-1613 - Shoichiro Takeda, Yasunori Akagi, Kazuki Okami, Megumi Isogai, Hideaki Kimata:
Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution. 1614-1622 - Mengyang Feng, Huchuan Lu, Errui Ding:
Attentive Feedback Network for Boundary-Aware Salient Object Detection. 1623-1632 - Ruoteng Li, Loong-Fah Cheong, Robby T. Tan:
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning. 1633-1642 - Zhucun Xue, Nan Xue, Gui-Song Xia, Weiming Shen:
Learning to Calibrate Straight Lines for Fisheye Image Rectification. 1643-1651 - Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu:
Camera Lens Super-Resolution. 1652-1660 - Wenhan Yang, Jiaying Liu, Jiashi Feng:
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow. 1661-1670 - Kai Zhang, Wangmeng Zuo, Lei Zhang:
Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels. 1671-1681 - Derya Akkaynak, Tali Treibitz:
Sea-Thru: A Method for Removing Water From Underwater Images. 1682-1691 - Xintao Wang, Ke Yu, Chao Dong, Xiaoou Tang, Chen Change Loy:
Deep Network Interpolation for Continuous Imagery Effect Transition. 1692-1701 - Jinshan Pan, Jiangxin Dong, Jimmy S. J. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang:
Spatially Variant Linear Representation Models for Joint Filtering. 1702-1711 - Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang:
Toward Convolutional Blind Denoising of Real Photographs. 1712-1722 - Xiangyu Xu, Yongrui Ma, Wenxiu Sun:
Towards Real Scene Super-Resolution With Raw Images. 1723-1731 - Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, Jian Cheng:
ODE-Inspired Network Design for Single Image Super-Resolution. 1732-1741 - Liang Chen, Faming Fang, Tingting Wang, Guixu Zhang:
Blind Image Deblurring With Local Maximum Gradient Prior. 1742-1750 - Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang:
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. 1751-1760 - Xuanyi Dong, Yi Yang:
Searching for a Robust Neural Architecture in Four GPU Hours. 1761-1770 - Yifei Shi, Angel X. Chang, Zhelun Wu, Manolis Savva, Kai Xu:
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction. 1771-1780 - Guangrun Wang, Keze Wang, Liang Lin:
Adaptively Connected Neural Networks. 1781-1790 - Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang:
CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency. 1791-1800 - Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Temporal Cycle-Consistency Learning. 1801-1810 - Yong-Hoon Kwon, Min-Gyu Park:
Predicting Future Frames Using Retrospective Cycle GAN. 1811-1820 - Dongze Lian, Jing Li, Jia Zheng, Weixin Luo, Shenghua Gao:
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization. 1821-1830 - Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez:
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. 1831-1840 - Yuhua Chen, Wen Li, Xiaoran Chen, Luc Van Gool:
Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach. 1841-1850 - Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos:
Attentive Single-Tasking of Multiple Tasks. 1851-1860 - Fatih Çakir, Kun He, Xide Xia, Brian Kulis, Stan Sclaroff:
Deep Metric Learning to Rank. 1861-1870 - Shikun Liu, Edward Johns, Andrew J. Davison:
End-To-End Multi-Task Learning With Attention. 1871-1880 - Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy:
Self-Supervised Learning via Conditional Motion Propagation. 1881-1889 - Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu:
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence. 1890-1899 - Wei-Lun Chang, Hui-Po Wang, Wen-Hsiao Peng, Wei-Chen Chiu:
All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation. 1900-1909 - Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille:
Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning. 1910-1919 - Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer:
Revisiting Self-Supervised Visual Representation Learning. 1920-1929 - Monica Haurilet, Alina Roitberg, Rainer Stiefelhagen:
It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning. 1930-1939 - Damien Teney, Anton van den Hengel:
Actively Seeking and Learning From Live Data. 1940-1949 - Xihui Liu, Zihao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li:
Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing. 1950-1959 - Peng Wang, Qi Wu, Jiewei Cao, Chunhua Shen, Lianli Gao, Anton van den Hengel:
Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks. 1960-1968 - Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling:
Scene Graph Generation With External Knowledge and Image Reconstruction. 1969-1978 - Yale Song, Mohammad Soleymani:
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval. 1979-1988 - Rémi Cadène, Hédi Ben-Younes, Matthieu Cord, Nicolas Thome:
MUREL: Multimodal Relational Reasoning for Visual Question Answering. 1989-1998 - Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang:
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering. 1999-2007 - Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Information Maximizing Visual Question Generation. 2008-2018 - Bingjie Xu, Yongkang Wong, Junnan Li, Qi Zhao, Mohan S. Kankanhalli:
Learning to Detect Human-Object Interactions With Knowledge. 2019-2028 - Didac Suris, Adrià Recasens, David Bau, David Harwath, James R. Glass, Antonio Torralba:
Learning Words by Drawing Images. 2029-2038 - Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing:
Factor Graph Attention. 2039-2048 - Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal:
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. 2049-2058 - Fangneng Zhan, Shijian Lu:
ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification. 2059-2068 - Fabian Manhardt, Wadim Kehl, Adrien Gaidon:
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape. 2069-2078 - Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao:
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images. 2079-2088 - Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag, Hanspeter Pfister:
Biologically-Constrained Graphs for Global Connectomics Reconstruction. 2089-2098 - Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu:
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification. 2099-2108 - Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille:
Elastic Boundary Projection for 3D Medical Image Segmentation. 2109-2118 - Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye:
SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images. 2119-2128 - Alexander Krull, Tim-Oliver Buchholz, Florian Jug:
Noise2Void - Learning Denoising From Single Noisy Images. 2129-2137 - Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz:
Joint Discriminative and Generative Learning for Person Re-Identification. 2138-2147 - Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai:
Unsupervised Person Re-Identification by Soft Multilabel Learning. 2148-2157 - Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang:
Learning Context Graph for Person Search. 2158-2167 - Mert Bülent Sariyildiz, Ramazan Gokberk Cinbis:
Gradient Matching Generative Networks for Zero-Shot Learning. 2168-2178 - Sounak Dey, Pau Riba, Anjan Dutta, Josep Lladós, Yi-Zhe Song:
Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval. 2179-2188 - Arghya Pal, Vineeth N. Balasubramanian:
Zero-Shot Task Transfer. 2189-2198 - Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye:
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. 2199-2208 - Jiwoon Ahn, Sunghyun Cho, Suha Kwak:
Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations. 2209-2218 - Junsuk Choe, Hyunjung Shim:
Attention-Based Dropout Layer for Weakly Supervised Object Localization. 2219-2228 - Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi:
Domain Generalization by Solving Jigsaw Puzzles. 2229-2238 - Yingwei Pan, Ting Yao, Yehao Li, Yu Wang, Chong-Wah Ngo, Tao Mei:
Transferrable Prototypical Networks for Unsupervised Domain Adaptation. 2239-2247 - Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin:
Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks. 2248-2257 - Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari:
ELASTIC: Improving CNNs With Dynamic Scaling Policies. 2258-2267 - Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei:
ScratchDet: Training Single-Shot Object Detectors From Scratch. 2268-2277 - Junghyup Lee, Dohyung Kim, Jean Ponce, Bumsub Ham:
SFNet: Learning Object-Aware Semantic Correspondence. 2278-2287 - Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak:
Deep Metric Learning Beyond Binary Supervision. 2288-2297 - Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin:
Learning to Cluster Faces on an Affinity Graph. 2298-2306 - Poojan Oza, Vishal M. Patel:
C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition. 2307-2316 - Aayush Bansal, Yaser Sheikh, Deva Ramanan:
Shapes and Context: In-The-Wild Image Synthesis & Manipulation. 2317-2326 - Guojun Yin, Bin Liu, Lu Sheng, Nenghai Yu, Xiaogang Wang, Jing Shao:
Semantics Disentangling for Text-To-Image Generation. 2327-2336 - Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu:
Semantic Image Synthesis With Spatially-Adaptive Normalization. 2337-2346 - Zhen Zhu, Tengteng Huang, Baoguang Shi, Miao Yu, Bofei Wang, Xiang Bai:
Progressive Pose Attention Transfer for Person Image Generation. 2347-2356 - Sijie Song, Wei Zhang, Jiaying Liu, Tao Mei:
Unsupervised Person Image Generation With Semantic Parsing Transformation. 2357-2366 - John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, Richard Tucker:
DeepView: View Synthesis With Learned Gradient Descent. 2367-2376 - Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe:
Animating Arbitrary Objects via Deep Motion Transfer. 2377-2386 - Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury Malkov, Igor Pasechnik, Dmitry Ulyanov, Alexander Vakhitov, Victor S. Lempitsky:
Textured Neural Avatars. 2387-2397 - Tomer Peleg, Pablo Szekely, Doron Sabo, Omry Sendik:
IM-Net for High Resolution Video Frame Interpolation. 2398-2407 - Ying-Cong Chen, Xiaogang Xu, Zhuotao Tian, Jiaya Jia:
Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation. 2408-2416 - Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan:
Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. 2417-2426 - Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao:
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping. 2427-2436 - Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer:
DeepVoxels: Learning Persistent 3D Feature Embeddings. 2437-2446 - Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, Matthias Nießner:
Inverse Path Tracing for Joint Material and Lighting Estimation. 2447-2456 - Jean-Baptiste Alayrac, João Carreira, Andrew Zisserman:
The Visual Centrifuge: Model-Free Layered Video Representations. 2457-2466 - Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada:
Label-Noise Robust Generative Adversarial Networks. 2467-2476 - Rui Gong, Wen Li, Yuhua Chen, Luc Van Gool:
DLOW: Domain Flow for Adaptation and Generalization. 2477-2486 - Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye:
CollaGAN: Collaborative GAN for Missing Image Data Imputation. 2487-2496 - Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder:
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding. 2497-2506 - Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang:
Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation. 2507-2516 - Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez:
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation. 2517-2526 - Zixin Luo, Tianwei Shen, Lei Zhou, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, Long Quan:
ContextDesc: Local Descriptor Augmentation With Cross-Modality Context. 2527-2536 - Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu:
Large-Scale Long-Tailed Recognition in an Open World. 2537-2546 - Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo:
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data. - René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. 2556-2565 - Xiaolong Wang, Allan Jabri, Alexei A. Efros:
Learning Correspondence From the Cycle-Consistency of Time. 2566-2576 - Changqing Zhang, Yeqing Liu, Huazhu Fu:
AE2-Nets: Autoencoder in Autoencoder Networks. 2577-2585 - Proteek Chandan Roy, Vishnu Naresh Boddeti:
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach. 2586-2594 - Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki:
Learning Spatial Common Sense With Geometry-Aware Recurrent Networks. 2595-2603 - Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang:
Structured Knowledge Distillation for Semantic Segmentation. 2604-2613 - Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner:
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans. 2614-2623 - Po-Yi Chen, Alexander H. Liu, Yen-Cheng Liu, Yu-Chiang Frank Wang:
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation. 2624-2632 - Xiaotian Qiao, Quanlong Zheng, Ying Cao, Rynson W. H. Lau:
Tell Me Where I Am: Object-Level Scene Context Prediction. 2633-2641 - He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas:
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation. 2642-2651 - Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas J. Guibas:
Supervised Fitting of Geometric Primitives to 3D Point Clouds. 2652-2660 - Simon Kornblith, Jonathon Shlens, Quoc V. Le:
Do Better ImageNet Models Transfer Better? 2661-2671 - Luan Tran, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker:
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild. 2672-2681 - Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang:
Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift. 2682-2690 - Chunlei Liu, Wenrui Ding, Xin Xia, Baochang Zhang, Jiaxin Gu, Jianzhuang Liu, Rongrong Ji, David S. Doermann:
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation. 2691-2699 - Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, Albert Y. Zomaya:
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features. 2700-2709 - Eunwoo Kim, Chanho Ahn, Philip H. S. Torr, Songhwai Oh:
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. 2710-2719 - Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan:
Universal Domain Adaptation. 2720-2729 - Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, Alan L. Yuille:
Improving Transferability of Adversarial Examples With Input Diversity. 2730-2739 - Yaping Zhang, Shuai Nie, Wenju Liu, Xing Xu, Dongxiang Zhang, Heng Tao Shen:
Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition. 2740-2749 - Binghui Chen, Weihong Deng:
Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval. 2750-2759 - Oren Dovrat, Itai Lang, Shai Avidan:
Learning to Sample. 2760-2769 - Hongguang Zhang, Jing Zhang, Piotr Koniusz:
Few-Shot Learning via Saliency-Guided Hallucination of Samples. 2770-2779 - Chenglong Zhao, Bingbing Ni, Jian Zhang, Qiwei Zhao, Wenjun Zhang, Qi Tian:
Variational Convolutional Neural Network Pruning. 2780-2789 - Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann:
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. 2790-2799 - Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David S. Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression. 2800-2809 - Rundong Li, Yan Wang, Feng Liang, Hongwei Qin, Junjie Yan, Rui Fan:
Fully Quantized Network for Object Detection. 2810-2819 - Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, Quoc V. Le:
MnasNet: Platform-Aware Neural Architecture Search for Mobile. 2820-2828 - Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song:
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. 2829-2838 - Xiangyu He, Peisong Wang, Jian Cheng:
K-Nearest Neighbors Hashing. 2839-2848 - Jian Ding, Nan Xue, Yang Long, Gui-Song Xia, Qikai Lu:
Learning RoI Transformer for Oriented Object Detection in Aerial Images. 2849-2858 - Chenglin Yang, Lingxi Xie, Chi Su, Alan L. Yuille:
Snapshot Distillation: Teacher-Student Optimization in One Generation. 2859-2868 - Jianbo Jiao, Yunchao Wei, Zequn Jie, Honghui Shi, Rynson W. H. Lau, Thomas S. Huang:
Geometry-Aware Distillation for Indoor Semantic Segmentation. 2869-2878 - John P. Collomosse, Tu Bui, Hailin Jin:
LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search. 2879-2887 - Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang:
Bounding Box Regression With Uncertainty for Accurate Object Detection. 2888-2897 - Pramuditha Perera, Ramesh Nallapati, Bing Xiang:
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations. 2898-2906 - Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa:
Learning Metrics From Teachers: Compact Networks for Image Embedding. 2907-2916 - Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan:
Activity Driven Weakly Supervised Object Detection. 2917-2926 - Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang:
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation. 2927-2936 - Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin:
Layout-Graph Reasoning for Fashion Landmark Detection. 2937-2945 - Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao:
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs. 2946-2955 - Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu:
Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks. 2956-2964 - Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin:
Region Proposal by Guided Anchoring. 2965-2974 - Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation. 2975-2984 - Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang:
Learning to Transfer Examples for Partial Domain Adaptation. 2985-2994 - Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama:
Generalized Zero-Shot Recognition Based on Visually Semantic Embedding. 2995-3003 - Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian:
Towards Visual Feature Translation. 3004-3013 - Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia:
Amodal Instance Segmentation With KINS Dataset. 3014-3023 - Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li:
Global Second-Order Pooling Convolutional Networks. 3024-3033 - Weifeng Ge, Xiangru Lin, Yizhou Yu:
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up. 3034-3043 - Pedro Morgado, Nuno Vasconcelos:
NetTailor: Tuning the Architecture, Not Just the Weights. 3044-3054 - Jingwei Tang, Yagiz Aksoy, Cengiz Öztireli, Markus H. Gross, Tunç Ozan Aydin:
Learning-Based Sampling for Natural Image Matting. 3055-3063 - Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven C. H. Hoi, Haibin Ling:
Learning Unsupervised Video Object Segmentation Through Visual Attention. 3064-3074 - Christopher B. Choy, JunYoung Gwak, Silvio Savarese:
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks. 3075-3084 - Ting Zhao, Xiangqian Wu:
Pyramid Feature Attention Network for Saliency Detection. 3085-3094 - Kaihua Zhang, Tengpeng Li, Bo Liu, Qingshan Liu:
Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing. 3095-3104 - Yuan-Ting Hu, Hong-Shuo Chen, Kexin Hui, Jia-Bin Huang, Alexander G. Schwing:
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines. 3105-3115 - Yi Zhu, Yanzhao Zhou, Huijuan Xu, Qixiang Ye, David S. Doermann, Jianbin Jiao:
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation. 3116-3125 - Zhi Tian, Tong He, Chunhua Shen, Youliang Yan:
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation. 3126-3135 - Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang:
Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation. 3136-3145 - Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu:
Dual Attention Network for Scene Segmentation. 3146-3154 - Ye Yu, William A. P. Smith:
InverseRenderNet: Learning Single Image Inverse Rendering. 3155-3164 - Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
A Variational Auto-Encoder Model for Stochastic Point Processes. 3165-3174 - Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini Scarzanella:
Unifying Heterogeneous Classifiers With Distillation. 3175-3184 - Arturo Deza, Amit Surana, Miguel P. Eckstein:
Assessment of Faster R-CNN in Man-Machine Collaborative Search. 3185-3194 - Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. 3195-3204 - Yuan Gao, Jiayi Ma, Mingbo Zhao, Wei Liu, Alan L. Yuille:
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction. 3205-3214 - Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin:
Spectral Metric for Dataset Complexity Assessment. 3215-3224 - Ning Liu, Yongchao Long, Changqing Zou, Qun Niu, Li Pan, Hefeng Wu:
ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding. 3225-3234 - Yihang Lou, Yan Bai, Jun Liu, Shiqi Wang, Lingyu Duan:
VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild. 3235-3243 - Haowen Deng, Tolga Birdal, Slobodan Ilic:
3D Local Features for Direct Pairwise Registration. 3244-3253 - Xiuye Gu, Yijie Wang, Chongruo Wu, Yong Jae Lee, Panqu Wang:
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds. 3254-3263 - Yoni Kasten, Amnon Geifman, Meirav Galun, Ronen Basri:
GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices. 3264-3272 - Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li:
Group-Wise Correlation Stereo Network. 3273-3282 - Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang, Deng-Ping Fan, Yue Liu, Yongtian Wang:
Multi-Level Context Ultra-Aggregation for Stereo Matching. 3283-3291 - Sotiris Nousias, Manolis I. A. Lourakis, Christos Bergeles:
Large-Scale, Metric Structure From Motion for Unordered Light Fields. 3292-3301 - Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixé:
Understanding the Limitations of CNN-Based Absolute Camera Pose Regression. 3302-3312 - Jiaxiong Qiu, Zhaopeng Cui, Yinda Zhang, Xingdi Zhang, Shuaicheng Liu, Bing Zeng, Marc Pollefeys:
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image. 3313-3322 - Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian:
Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling. 3323-3332 - Lin Xu, Han Sun, Yuai Liu:
Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition. 3333-3342 - Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martin Martin, Cewu Lu, Li Fei-Fei, Silvio Savarese:
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. 3343-3352 - Yanchao Yang, Alex Wong, Stefano Soatto:
Dense Depth Posterior (DDP) From Single Image and Sparse Range. 3353-3362 - Shang-Ta Yang, Fu-En Wang, Chi-Han Peng, Peter Wonka, Min Sun, Hung-Kuo Chu:
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama. 3363-3372 - Amir Atapour Abarghouei, Toby P. Breckon:
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach. 3373-3384 - Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Segmentation-Driven 6D Object Pose Estimation. 3385-3394 - Anurag Arnab, Carl Doersch, Andrew Zisserman:
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild. 3395-3404 - Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox:
What Do Single-View 3D Reconstruction Networks Learn? 3405-3414 - Yueqi Duan, Jiwen Lu, Jie Zhou:
UniformFace: Learning Deep Equidistributed Representation for Face Recognition. 3415-3424 - Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Semantic Graph Convolutional Networks for 3D Human Pose Regression. 3425-3435 - Shuyang Gu, Jianmin Bao, Hao Yang, Dong Chen, Fang Wen, Lu Yuan:
Mask-Guided Portrait Editing With Conditional GANs. 3436-3445 - Xiang Ming, Fangyun Wei, Ting Zhang, Dong Chen, Fang Wen:
Group Sampling for Scale Invariant Face Detection. 3446-3456 - Yong Zhang, Baoyuan Wu, Weiming Dong, Zhifeng Li, Wei Liu, Bao-Gang Hu, Qiang Ji:
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation. 3457-3466 - Zhiwei Liu, Xiangyu Zhu, Guosheng Hu, Haiyun Guo, Ming Tang, Zhen Lei, Neil Martin Robertson, Jinqiao Wang:
Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection. 3467-3476 - Manuel J. Marín-Jiménez, Vicky Kalogeiton, Pablo Medina-Suarez, Andrew Zisserman:
LAEO-Net: Revisiting People Looking at Each Other in Videos. 3477-3485 - Meilu Zhu, Daming Shi, Mingjie Zheng, Muhammad Sadiq:
Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks. 3486-3496 - Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik:
Learning Individual Styles of Conversational Gesture. 3497-3506 - Xiao Yang, Wenhan Luo, Linchao Bao, Yuan Gao, Dihong Gong, Shibao Zheng, Zhifeng Li, Wei Liu:
Face Anti-Spoofing: Model Matters, so Does Data. 3507-3516 - Feng Zhang, Xiatian Zhu, Mao Ye:
Fast Human Pose Estimation. 3517-3526 - Hao Wang, Dihong Gong, Zhifeng Li, Wei Liu:
Decorrelated Adversarial Learning for Age-Invariant Face Recognition. 3527-3536 - Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David F. Fouhey, Ivan Laptev, Josef Sivic:
Cross-Task Weakly Supervised Learning From Instructional Videos. 3537-3545 - Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles:
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. 3546-3555 - Xionghui Wang, Jianfang Hu, Jian-Huang Lai, Jianguo Zhang, Wei-Shi Zheng:
Progressive Teacher-Student Learning for Early Action Prediction. 3556-3565 - Xinchen Liu, Wu Liu, Meng Zhang, Jingwen Chen, Lianli Gao, Chenggang Yan, Tao Mei:
Social Relation Recognition From Videos via Multi-Scale Spatial-Temporal Reasoning. 3566-3574 - Yazan Abu Farha, Jürgen Gall:
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation. 3575-3584 - Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Haoshu Fang, Yanfeng Wang, Cewu Lu:
Transferable Interactiveness Knowledge for Human-Object Interaction Detection. 3585-3594 - Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition. 3595-3603 - Yuan Liu, Lin Ma, Yifeng Zhang, Wei Liu, Shih-Fu Chang:
Multi-Granularity Generator for Temporal Action Proposal. 3604-3613 - Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun:
Deep Rigid Instance Scene Flow. 3614-3622 - Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli:
See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks. 3623-3632 - Qize Yang, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng:
Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification. 3633-3642 - Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng:
SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking. 3643-3652 - Fangneng Zhan, Hongyuan Zhu, Shijian Lu:
Spatial Fusion GAN for Image Synthesis. 3653-3662 - Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang:
Text Guided Person Image Synthesis. 3663-3672 - Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen:
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing. 3673-3682 - Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang:
Towards Instance-Level Image-To-Image Translation. 3683-3692 - Yining Li, Chen Huang, Chen Change Loy:
Dense Intrinsic Appearance Flow for Human Pose Transfer. 3693-3702 - Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, Ming-Hsuan Yang:
Depth-Aware Video Frame Interpolation. 3703-3712 - Jiqing Wu, Zhiwu Huang, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool:
Sliced Wasserstein Generative Models. 3713-3722 - Rui Xu, Xiaoxiao Li, Bolei Zhou, Chen Change Loy:
Deep Flow-Guided Video Inpainting. 3723-3732 - Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang:
Video Generation From Single Semantic Label Map. 3733-3742 - Zhixiang Wang, Yinqiang Zheng, Yung-Yu Chuang:
Polarimetric Camera Calibration Using an LCD Monitor. 3743-3752 - Chenyang Lei, Qifeng Chen:
Fully Automatic Video Colorization With Self-Regularization and Diversity. 3753-3761 - Xuaner Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun:
Zoom to Learn, Learn to Zoom. 3762-3770 - Qiang Wen, Yinjie Tan, Jing Qin, Wenxi Liu, Guoqiang Han, Shengfeng He:
Single Image Reflection Removal Beyond Linearity. 3771-3779 - Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan:
Learning to Separate Multiple Illuminants in a Single Image. 3780-3789 - Sanjeev Muralikrishnan, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri:
Shape Unicode: A Unified Shape Representation. 3790-3799 - Jiyang Yu, Ravi Ramamoorthi:
Robust Video Stabilization by Optimization in CNN Weight Space. 3800-3808 - Xueting Li, Sifei Liu, Jan Kautz, Ming-Hsuan Yang:
Learning Linear Transformations for Fast Image and Video Style Transfer. 3809-3817 - Jialiang Wang, Todd E. Zickler:
Local Detection of Stereo Occlusion Boundaries. 3818-3827 - Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang:
Bi-Directional Cascade Network for Perceptual Edge Detection. 3828-3837 - Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Marcondes Cesar Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao:
Single Image Deraining: A Comprehensive Benchmark Analysis. 3838-3847 - Hongyun Gao, Xin Tao, Xiaoyong Shen, Jiaya Jia:
Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections. 3848-3856 - Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
Events-To-Video: Bringing Modern Computer Vision to Event Cameras. 3857-3866 - Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu:
Feedback Network for Image Super-Resolution. 3867-3876 - Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, Ying Wu:
Semi-Supervised Transfer Learning for Image Rain Removal. 3877-3886 - Yusuke Sekikawa, Kosuke Hara, Hideo Saito:
EventNet: Asynchronous Recursive Event Processing. 3887-3896 - Muhammad Haris, Gregory Shakhnarovich, Norimichi Ukita:
Recurrent Back-Projection Network for Video Super-Resolution. 3897-3906 - Zhe Wu, Li Su, Qingming Huang:
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection. 3907-3916 - Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang:
A Simple Pooling-Based Design for Real-Time Salient Object Detection. 3917-3926 - Jiaxing Zhao, Yang Cao, Deng-Ping Fan, Ming-Ming Cheng, Xuan-Yi Li, Le Zhang:
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection. 3927-3936 - Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng:
Progressive Image Deraining Networks: A Better and Simpler Baseline. 3937-3946 - Li Yi, Wang Zhao, He Wang, Minhyuk Sung, Leonidas J. Guibas:
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud. 3947-3956 - Mengshi Qi, Weijian Li, Zhengyuan Yang, Yunhong Wang, Jiebo Luo:
Attentive Relational Networks for Mapping Images to Scene Graphs. 3957-3966 - Wonpyo Park, Dongju Kim, Yan Lu, Minsu Cho:
Relational Knowledge Distillation. 3967-3976 - Tuanhui Li, Baoyuan Wu, Yujiu Yang, Yanbo Fan, Yong Zhang, Wei Liu:
Compressing Convolutional Neural Networks via Factorized Convolutional Filters. 3977-3986 - Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain:
On the Intrinsic Dimensionality of Image Representations. 3987-3996 - Bing He, Jia Li, Yifan Zhao, Yonghong Tian:
Part-Regularized Near-Duplicate Vehicle Re-Identification. 3997-4005 - Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Yunhui Liu, Wei Liu:
Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics. 4006-4015 - Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura:
Classification-Reconstruction Learning for Open-Set Recognition. 4016-4025 - Macario O. Cordel II, Shaojing Fan, Zhiqi Shen, Mohan S. Kankanhalli:
Emotion-Aware Human Attention Prediction. 4026-4035 - Jia Wan, Wenhan Luo, Baoyuan Wu, Antoni B. Chan, Wei Liu:
Residual Regression With Semantic Prior for Crowd Counting. 4036-4045 - Yizhou Zhou, Xiaoyan Sun, Zheng-Jun Zha, Wenjun Zeng:
Context-Reinforced Semantic Segmentation. 4046-4055 - Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, Stella X. Yu:
Adversarial Structure Matching for Structured Prediction Tasks. 4056-4065 - Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu:
Deep Spectral Clustering Using Dual Autoencoder Network. 4066-4075 - Xinyi Xu, Yanhua Yang, Cheng Deng, Feng Zheng:
Deep Asymmetric Metric Learning via Rich Relationship Mining. 4076-4085 - Jérôme Revaud, Minhyeok Heo, Rafael S. Rezende, Chanmi You, Seong-Gyun Jeong:
Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates. 4086-4095 - Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia:
Associatively Segmenting Instances and Semantics in Point Clouds. 4096-4105 - Zhenyu Zhang, Zhen Cui, Chunyan Xu, Yan Yan, Nicu Sebe, Jian Yang:
Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation. 4106-4115 - Morteza Rezanejad, Gabriel Downs, John Wilder, Dirk B. Walther, Allan D. Jepson, Sven J. Dickinson, Kaleem Siddiqi:
Scene Categorization From Contours: Medial Axis Based Salience Measures. 4116-4124 - Yang Feng, Lin Ma, Wei Liu, Jiebo Luo:
Unsupervised Image Captioning. 4125-4134 - Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu:
Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables. 4135-4144 - Sibei Yang, Guanbin Li, Yizhou Yu:
Cross-Modal Relationship Inference for Grounding Referring Expressions. 4145-4154 - Ehsan Abbasnejad, Qi Wu, Qinfeng Shi, Anton van den Hengel:
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions. 4155-4164 - Junfu Pu, Wengang Zhou, Houqiang Li:
Iterative Alignment Network for Continuous Sign Language Recognition. 4165-4174 - Pelin Dogan, Leonid Sigal, Markus H. Gross:
Neural Sequential Phrase Grounding (SeqGROUND). 4175-4184 - Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille:
CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions. 4185-4194 - Qingzhong Wang, Antoni B. Chan:
Describing Like Humans: On Diversity in Image Captioning. 4195-4203 - Longteng Guo, Jing Liu, Peng Yao, Jiangwei Li, Hanqing Lu:
MSCap: Multi-Style Image Captioning With Unpaired Stylized Text. 4204-4213 - Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan L. Yuille:
CRAVES: Controlling Robotic Arm With a Vision-Based Economic System. 4214-4223 - Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer:
Networks for Joint Affine and Non-Parametric Image Registration. 4224-4233 - Zhuotao Tian, Michelle Shu, Pengyuan Lyu, Ruiyu Li, Chao Zhou, Xiaoyong Shen, Jiaya Jia:
Learning Shape-Aware Embedding for Scene Text Detection. 4234-4243 - Chong Huang, Chuan-En Lin, Zhenyu Yang, Yan Kong, Peng Chen, Xin Yang, Kwang-Ting Cheng:
Learning to Film From Professional Human Motion Videos. 4244-4253 - Pooya Abolghasemi, Amir Mazaheri, Mubarak Shah, Ladislau Bölöni:
Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention. 4254-4262 - Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence. 4263-4272 - Xingyu Liu, Joon-Young Lee, Hailin Jin:
Learning Video Representations From Correspondence Proposals. 4273-4281 - Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan:
SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks. 4282-4291 - Sung Woo Park, Junseok Kwon:
Sphere Generative Adversarial Network Based on Geometric Moment Matching. 4292-4301 - Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang, Alan L. Yuille:
Adversarial Attacks Beyond the Image Space. 4302-4311 - Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks. 4312-4321 - Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger:
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. 4322-4330 - Jonathan T. Barron:
A General and Adaptive Robust Loss Function. 4331-4339 - Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang:
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration. 4340-4349 - Sangil Jung, Changyong Son, Seohyung Lee, JinWoo Son, Jae-Joon Han, Youngjun Kwak, Sung Ju Hwang, Changkyu Choi:
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss. 4350-4359 - Ruoqi Sun, Xinge Zhu, Chongruo Wu, Chen Huang, Jianping Shi, Lizhuang Ma:
Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection. 4360-4369 - Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel:
Unsupervised Learning of Dense Shape Correspondence. 4370-4379 - Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic:
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach. 4380-4390 - Kamran Ghasedi, Xiaoqian Wang, Cheng Deng, Heng Huang:
Balanced Self-Paced Learning for Generative Adversarial Clustering Network. 4391-4400 - Tero Karras, Samuli Laine, Timo Aila:
A Style-Based Generator Architecture for Generative Adversarial Networks. 4401-4410 - Gil Avraham, Yan Zuo, Tom Drummond:
Parallel Optimal Transport GAN. 4411-4420 - Ji Hou, Angela Dai, Matthias Nießner:
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans. 4421-4430 - Yu Zhang, Daniel L. Lau, Ying Yu:
Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light. 4431-4439 - Jingwei Huang, Haotian Zhang, Li Yi, Thomas A. Funkhouser, Matthias Nießner, Leonidas J. Guibas:
TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes. 4440-4449 - Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, Jan Kautz:
PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image. 4450-4459 - Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger:
Occupancy Networks: Learning 3D Reconstruction in Function Space. 4460-4470 - Weichao Shen, Yunde Jia, Yuwei Wu:
3D Shape Reconstruction From Images in the Frequency Domain. 4471-4479 - Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, Shigeo Morishima:
SiCloPe: Silhouette-Based Clothed People. 4480-4490 - Hao Zhu, Xinxin Zuo, Sen Wang, Xun Cao, Ruigang Yang:
Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation. 4491-4500 - Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis:
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction. 4501-4510 - Bugra Tekin, Federica Bogo, Marc Pollefeys:
H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions. 4511-4520 - Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
Learning the Depths of Moving People by Watching Frozen People. 4521-4530 - Zhenpei Yang, Jeffrey Z. Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman, Qixing Huang:
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion. 4531-4540 - Jiapeng Tang, Xiaoguang Han, Junyi Pan, Kui Jia, Xin Tong:
A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images. 4541-4550 - Bingbing Zhuang, Quoc-Huy Tran, Pan Ji, Loong-Fah Cheong, Manmohan Chandraker:
Learning Structure-And-Motion-Aware Rolling Shutter Correction. 4551-4560 - Sida Peng, Yuan Liu, Qixing Huang, Xiaowei Zhou, Hujun Bao:
PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation. 4561-4570 - Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
SelFlow: Self-Supervised Learning of Optical Flow. 4571-4580 - Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger:
Taking a Deeper Look at the Inverse Compositional Algorithm. 4581-4590 - Zhipeng Zhang, Houwen Peng:
Deeper and Wider Siamese Networks for Real-Time Visual Tracking. 4591-4600 - Jae Shin Yoon, Takaaki Shiratori, Shoou-I Yu, Hyun Soo Park:
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking. 4601-4609 - Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy:
Diverse Generation for Multi-Agent Sports Games. 4610-4619 - Yaadhav Raaj, Haroon Idrees, Gines Hidalgo, Yaser Sheikh:
Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields. 4620-4628 - Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano, Emanuele Rodolà:
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching. 4629-4638 - Andrii Maksai, Pascal Fua:
Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking. 4639-4648 - Junyu Gao, Tianzhu Zhang, Changsheng Xu:
Graph Convolutional Tracking. 4649-4659 - Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ATOM: Accurate Tracking by Overlap Maximization. 4660-4669 - Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li:
Visual Tracking via Adaptive Spatially-Regularized Correlation Filters. 4670-4679 - Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu:
Deep Tree Learning for Zero-Shot Face Anti-Spoofing. 4680-4689 - Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou:
ArcFace: Additive Angular Margin Loss for Deep Face Recognition. 4690-4699 - Kaihao Zhang, Wenhan Luo, Lin Ma, Wei Liu, Hongdong Li:
Learning Joint Gait Representation via Quintuplet Loss Minimization. 4700-4709 - Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang:
Gait Recognition via Disentangled Representation Learning. 4710-4719 - Tycho F. A. van der Ouderaa, Daniel E. Worrall:
Reversible GANs for Memory-Efficient Image-To-Image Translation. 4720-4728 - Zecheng He, Tianwei Zhang, Ruby B. Lee:
Sensitive-Sample Fingerprinting of Deep Neural Networks. 4729-4737 - Raul Diaz, Amit Marathe:
Soft Labels for Ordinal Regression. 4738-4747 - Hao Cheng, Dongze Lian, Bowen Deng, Shenghua Gao, Tao Tan, Yanlin Geng:
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks. 4748-4756 - Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera, Aleix M. Martínez:
What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks? 4757-4766 - Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy:
Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning. 4767-4776 - Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu:
Adversarial Defense Through Network Profiling Based Path Extraction. 4777-4786 - Yukang Chen, Gaofeng Meng, Qian Zhang, Shiming Xiang, Chang Huang, Lisen Mu, Xinggang Wang:
RENAS: Reinforced Evolutionary Neural Architecture Search. 4787-4796 - Irina Shevlev, Shai Avidan:
Co-Occurrence Neural Network. 4797-4804 - Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning Through Adaptive Fine-Tuning. 4805-4814 - Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen:
Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning. 4815-4824 - Jiayang Liu, Weiming Zhang, Yiwei Zhang, Dongdong Hou, Yujia Liu, Hongyue Zha, Nenghai Yu:
Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View. 4825-4834 - Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. 4835-4844 - Michael A. Alcorn, Qi Li, Zhitao Gong, Chengfei Wang, Long Mai, Wei-Shinn Ku, Anh Nguyen:
Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects. 4845-4854 - Xiaoyu Li, Bo Zhang, Pedro V. Sander, Jing Liao:
Blind Geometric Distortion Correction on Images Through Deep Learning. 4855-4864 - Songhao Jia, Ding-Jie Chen, Hwann-Tzong Chen:
Instance-Level Meta Normalization. 4865-4873 - Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Iterative Normalization: Beyond Standardization Towards Efficient Whitening. 4874-4883 - Soumyadeep Ghosh, Richa Singh, Mayank Vatsa:
On Learning Density Aware Embeddings. 4884-4892 - Guoliang Kang, Lu Jiang, Yi Yang, Alexander G. Hauptmann:
Contrastive Adaptation Network for Unsupervised Domain Adaptation. 4893-4902 - Sudhakar Kumawat, Shanmuganathan Raman:
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks. 4903-4912 - Yiru Zhao, Xu Shen, Zhongming Jin, Hongtao Lu, Xian-Sheng Hua:
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification. 4913-4922 - Shilin Zhu, Xin Dong, Hao Su:
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? 4923-4932 - Tao Wang, Li Yuan, Xiaopeng Zhang, Jiashi Feng:
Distilling Object Detectors With Fine-Grained Feature Imitation. 4933-4942 - Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han:
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. 4943-4953 - Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz:
Knockoff Nets: Stealing Functionality of Black-Box Models. 4954-4963 - Yueqi Duan, Lei Chen, Jiwen Lu, Jie Zhou:
Deep Embedding Learning With Discriminative Sampling Policy. 4964-4973 - Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin:
Hybrid Task Cascade for Instance Segmentation. 4974-4983 - Wonhee Lee, Joonil Na, Gunhee Kim:
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations. 4984-4993 - Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin:
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis. 4994-5002 - Weihong Li, Fa-Ting Hong, Wei-Shi Zheng:
Learning to Learn Relation for Important People Detection in Still Images. 5003-5011 - Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo:
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition. 5012-5021 - Xun Wang, Xintong Han, Weilin Huang, Dengke Dong, Matthew R. Scott:
Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning. 5022-5030 - Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan:
Domain-Symmetric Networks for Adversarial Domain Adaptation. 5031-5040 - Benjamin Eliot Klein, Lior Wolf:
End-To-End Supervised Product Quantization for Image Search and Retrieval. 5041-5050 - Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Learning to Learn From Noisy Labeled Data. 5051-5059 - Jian Li, Yabiao Wang, Changan Wang, Ying Tai, Jianjun Qian, Jian Yang, Chengjie Wang, Jilin Li, Feiyue Huang:
DSFD: Dual Shot Face Detector. 5060-5069 - Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Label Propagation for Deep Semi-Supervised Learning. 5070-5079 - Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo:
Deep Global Generalized Gaussian Networks. 5080-5088 - Anjan Dutta, Zeynep Akata:
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval. 5089-5098 - Weizhe Liu, Mathieu Salzmann, Pascal Fua:
Context-Aware Crowd Counting. 5099-5108 - Marvin Teichmann, André Araújo, Menglong Zhu, Jack Sim:
Detect-To-Retrieve: Efficient Regional Aggregation for Image Search. 5109-5118 - Kean Chen, Jianguo Li, Weiyao Lin, John See, Ji Wang, Lingyu Duan, Zhibo Chen, Changwei He, Junni Zou:
Towards Accurate One-Stage Object Detection With AP-Loss. 5119-5127 - Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao:
On Exploring Undetermined Relationships for Visual Relationship Detection. 5128-5137 - Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa:
Learning Without Memorizing. 5138-5146 - Qiushan Guo, Zhipeng Yu, Yichao Wu, Ding Liang, Haoyu Qin, Junjie Yan:
Dynamic Recursive Neural Network. 5147-5156 - Yue Chen, Yalong Bai, Wei Zhang, Tao Mei:
Destruction and Construction Learning for Fine-Grained Image Recognition. 5157-5166 - Quanlong Zheng, Xiaotian Qiao, Ying Cao, Rynson W. H. Lau:
Distraction-Aware Shadow Detection. 5167-5176 - Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo:
Multi-Label Image Recognition With Graph Convolutional Networks. 5177-5186 - Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu:
High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection. 5187-5196 - Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. 5197-5206 - Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil Martin Robertson:
Ranked List Loss for Deep Metric Learning. 5207-5216 - Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen:
CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning. 5217-5226 - Eran Goldman, Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner:
Precise Detection in Densely Packed Scenes. 5227-5236 - Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li:
KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing. 5237-5246 - Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks. 5247-5256 - Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler:
Fast Interactive Object Annotation With Curve-GCN. 5257-5266 - Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon:
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference. 5267-5276 - Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marqués, Xavier Giró-i-Nieto:
RVOS: End-To-End Recurrent Network for Video Object Segmentation. 5277-5286 - Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven J. Dickinson, Kaleem Siddiqi:
DeepFlux for Skeletons in the Wild. 5287-5296 - Won-Dong Jang, Chang-Su Kim:
Interactive Image Segmentation via Backpropagating Refinement Scheme. 5297-5306 - Hengcan Shi, Hongliang Li, Qingbo Wu, Zichen Song:
Scene Parsing via Integrated Classification Model and Variance-Based Regularization. 5307-5316 - Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, Song-Chun Zhu:
RAVEN: A Dataset for Relational and Analogical Visual REasoNing. 5317-5327 - Wuyuan Xie, Miaohui Wang, Mingqiang Wei, Jianmin Jiang, Jing Qin:
Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach. 5328-5336 - Yuying Ge, Ruimao Zhang, Xiaogang Wang, Xiaoou Tang, Ping Luo:
DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images. 5337-5345 - Suryansh Kumar:
Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion. 5346-5355 - Agrim Gupta, Piotr Dollár, Ross B. Girshick:
LVIS: A Dataset for Large Vocabulary Instance Segmentation. 5356-5364 - Michael Gygli, Vittorio Ferrari:
Fast Object Class Labelling via Speech. 5365-5373 - Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling:
LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking. 5374-5383 - Maria Shugrina, Ziheng Liang, Amlan Kar, Jiaman Li, Angad Singh, Karan Singh, Sanja Fidler:
Creative Flow+ Dataset. 5384-5393 - Shuhan Tan, Jiening Jiao, Wei-Shi Zheng:
Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration. 5394-5403 - Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer:
A Neurobiological Evaluation Metric for Neural Network Model Search. 5404-5413 - Alireza Zaeemzadeh, Mohsen Joneidi, Nazanin Rahnavard, Mubarak Shah:
Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision. 5414-5423 - Yunsheng Li, Nuno Vasconcelos:
Efficient Multi-Domain Learning by Covariance Normalization. 5424-5433 - Nanyang Ye, Krzysztof Wolski, Rafal K. Mantiuk:
Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance. 5434-5442 - Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon:
A Bayesian Perspective on the Deep Image Prior. 5443-5451 - Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang:
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving. 5452-5462 - Jin Li, Xuguang Lan, Yang Liu, Le Wang, Nanning Zheng:
Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification. 5463-5472 - Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin:
Self-Supervised Convolutional Subspace Clustering Network. 5473-5482 - Qingshan Xu, Wenbing Tao:
Multi-Scale Geometric Consistency Guided Multi-View Stereo. 5483-5492 - Pablo Speciale, Johannes L. Schönberger, Sing Bing Kang, Sudipta N. Sinha, Marc Pollefeys:
Privacy Preserving Image-Based Localization. 5493-5503 - Tao Yu, Zerong Zheng, Yuan Zhong, Jianhui Zhao, Qionghai Dai, Gerard Pons-Moll, Yebin Liu:
SimulCap : Single-View Human Performance Capture With Cloth Simulation. 5504-5514 - Gengshan Yang, Joshua Manela, Michael Happold, Deva Ramanan:
Hierarchical Deep Stereo Matching on High-Resolution Images. 5515-5524 - Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, Long Quan:
Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference. 5525-5534 - Xiao Li, Yue Dong, Pieter Peers, Xin Tong:
Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks. 5535-5544 - Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser:
The Perfect Match: 3D Point Cloud Matching With Smoothed Densities. 5545-5554 - Rui Wang, Stephen M. Pizer, Jan-Michael Frahm:
Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth. 5555-5564 - Hengshuang Zhao, Li Jiang, Chi-Wing Fu, Jiaya Jia:
PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing. 5565-5573 - Angela Dai, Matthias Nießner:
Scan2Mesh: From Unstructured Range Scans to 3D Meshes. 5574-5583 - Gianluca Agresti, Henrik Schäfer, Piergiorgio Sartor, Pietro Zanuttigh:
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning. 5584-5593 - Zhe Cao, Abhishek Kar, Christian Hane, Jitendra Malik:
Learning Independent Object Motion From Unlabelled Stereoscopic Videos. 5594-5603 - Weifeng Chen, Shengyi Qian, Jia Deng:
Learning Single-Image Depth From Videos Using Quality Assessment Networks. 5604-5613 - Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik:
Learning 3D Human Dynamics From Video. 5614-5623 - Liu Liu, Hongdong Li:
Lending Orientation to Neural Networks for Cross-View Geo-Localization. 5624-5633 - Philippe Weinzaepfel, Gabriela Csurka, Yohann Cabon, Martin Humenberger:
Visual Localization by Learning Objects-Of-Interest Dense Match Regression. 5634-5643 - Alex Wong, Stefano Soatto:
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction. 5644-5653 - Jinpeng Lin, Hao Yang, Dong Chen, Ming Zeng, Fang Wen, Lu Yuan:
Face Parsing With RoI Tanh-Warping. 5654-5663 - Sheng Jin, Wentao Liu, Wanli Ouyang, Chen Qian:
Multi-Person Articulated Tracking With Spatial and Temporal Embeddings. 5664-5673 - Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang:
Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information. 5674-5682 - Raviteja Vemulapalli, Aseem Agarwala:
A Compact Embedding for Facial Expression Similarity. 5683-5692 - Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang:
Deep High-Resolution Representation Learning for Human Pose Estimation. 5693-5703 - Xi Yin, Xiang Yu, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker:
Feature Transfer Learning for Face Recognition With Under-Represented Data. 5704-5713 - Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, Rohith MV, Stefan Stojanov, James M. Rehg:
Unsupervised 3D Pose Estimation With Geometric Self-Supervision. 5714-5724 - Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander G. Hauptmann, Li Fei-Fei:
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos. 5725-5734 - Meng Zheng, Srikrishna Karanam, Ziyan Wu, Richard J. Radke:
Re-Identification With Consistent Attentive Siamese Networks. 5735-5744 - Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, Hao Li:
On the Continuity of Rotation Representations in Neural Networks. 5745-5753 - Junhwa Hur, Stefan Roth:
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation. 5754-5763 - Ping Wei, Huan Li, Ping Hu:
Inverse Discriminative Networks for Handwritten Signature Verification. 5764-5772 - Guodong Mu, Di Huang, Guosheng Hu, Jia Sun, Yunhong Wang:
Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces. 5773-5782 - Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu:
ROI Pooled Correlation Filters for Visual Tracking. 5783-5791 - Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon:
Deep Video Inpainting. 5792-5801 - Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang:
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis. 5802-5810 - Yedid Hoshen, Ke Li, Jitendra Malik:
Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors. 5811-5819 - Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer:
Mixture Density Generative Adversarial Networks. 5820-5829 - Fang Liu, Xiaoming Deng, Yu-Kun Lai, Yong-Jin Liu, Cuixia Ma, Hongan Wang:
SketchGAN: Joint Sketch Completion and Recognition With Generative Adversarial Network. 5830-5839 - Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, Jiebo Luo:
Foreground-Aware Image Inpainting. 5840-5848 - Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation. 5849-5859 - Yu Zhang, Dongqing Zou, Jimmy S. Ren, Zhe Jiang, Xiaohao Chen:
Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching. 5860-5869 - Yifang Men, Zhouhui Lian, Yingmin Tang, Jianguo Xiao:
DynTypo: Example-Based Dynamic Text Effects Transfer. 5870-5879 - Dae Young Park, Kwang Hee Lee:
Arbitrary Style Transfer With Style-Attentional Networks. 5880-5888 - Wenjing Wang, Jiaying Liu, Shuai Yang, Zongming Guo:
Typography With Decor: Intelligent Text Style Transfer. 5889-5897 - Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim:
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion. 5898-5907 - Chung-Yi Weng, Brian Curless, Ira Kemelmacher-Shlizerman:
Photo Wake-Up: 3D Character Animation From a Single Photo. 5908-5917 - Chloe LeGendre, Wan-Chun Ma, Graham Fyffe, John Flynn, Laurent Charbonnel, Jay Busch, Paul E. Debevec:
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality. 5918-5928 - Filippos Kokkinos, Stamatios Lefkimmiatis:
Iterative Residual CNNs for Burst Photography Applications. 5929-5938 - Zhiqin Chen, Hao Zhang:
Learning Implicit Fields for Generative Shape Modeling. 5939-5948 - Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang:
Reliable and Efficient Image Cropping: A Grid Anchor Based Approach. 5949-5957 - Yifan Wang, Shihao Wu, Hui Huang, Daniel Cohen-Or, Olga Sorkine-Hornung:
Patch-Based Progressive 3D Point Set Upsampling. 5958-5967 - Wenguan Wang, Jianbing Shen, Ming-Ming Cheng, Ling Shao:
An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection. 5968-5977 - Hongguang Zhang, Yuchao Dai, Hongdong Li, Piotr Koniusz:
Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring. 5978-5986 - Feifan Lv, Yinqiang Zheng, Bohan Zhang, Feng Lu:
Turn a Silicon Camera Into an InGaAs Camera. 5987-5995 - Canyi Lu, Xi Peng, Yunchao Wei:
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms. 5996-6004 - Suchen Wang, Jingjing Meng, Junsong Yuan, Yap-Peng Tan:
Joint Representative Selection and Feature Learning: A Semi-Supervised Approach. 6005-6013 - Akash Bapat, Jan-Michael Frahm:
The Domain Transform Solver. 6014-6023 - Lu Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu, You He:
CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection. 6024-6033 - Liyuan Pan, Richard I. Hartley, Miaomiao Liu, Yuchao Dai:
Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring. 6034-6043 - Zhichao Yin, Trevor Darrell, Fisher Yu:
Hierarchical Discrete Distribution Decomposition for Match Density Estimation. 6044-6053 - Xixi Jia, Sanyang Liu, Xiangchu Feng, Lei Zhang:
FOCNet: A Fractional Optimal Control Network for Image Denoising. 6054-6063 - Chang Liu, Fang Wan, Wei Ke, Zhuowei Xiao, Yuan Yao, Xiaosong Zhang, Qixiang Ye:
Orthogonal Decomposition Network for Pixel-Wise Binary Classification. 6064-6073 - Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu:
Multi-Source Weak Supervision for Saliency Detection. 6074-6083 - Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh:
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples. 6084-6092 - Jan-Hendrik Lange, Bjoern Andres, Paul Swoboda:
Combinatorial Persistency Criteria for Multicut and Max-Cut. 6093-6102 - Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu:
S4Net: Single Stage Salient-Instance Segmentation. 6103-6112 - Ganzhao Yuan, Li Shen, Wei-Shi Zheng:
A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem. 6113-6122 - Zhichao Wang, Qian Li, Gang Li, Guandong Xu:
Polynomial Representation for Persistence Diagram. 6123-6132 - Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao:
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks. 6133-6142 - Shiwei Li, Zixin Luo, Mingmin Zhen, Yao Yao, Tianwei Shen, Tian Fang, Long Quan:
Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface. 6143-6152 - Jin Zeng, Yanfeng Tong, Yunmu Huang, Qiong Yan, Wenxiu Sun, Jing Chen, Yongtian Wang:
Deep Surface Normal Estimation With Hierarchical RGB-D Fusion. 6153-6162 - Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin:
Knowledge-Embedded Routing Network for Scene Graph Generation. 6163-6171 - Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang:
An End-To-End Network for Panoptic Segmentation. 6172-6181 - Daniel Ritchie, Kai Wang, Yu-An Lin:
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models. 6182-6190 - Zhengming Ding, Hongfu Liu:
Marginalized Latent Semantic Encoder for Zero-Shot Learning. 6191-6199 - Jaime Spencer, Richard Bowden, Simon Hadfield:
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation. 6200-6209 - Mang Ye, Xu Zhang, Pong C. Yuen, Shih-Fu Chang:
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature. 6210-6219 - Xilai Li, Xi Song, Tianfu Wu:
AOGNets: Compositional Grammatical Architectures for Deep Learning. 6220-6230 - Yiqun Wang, Jianwei Guo, Dong-Ming Yan, Kai Wang, Xiaopeng Zhang:
A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes With Incompatible Shape Structures. 6231-6240 - Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao:
Context and Attribute Grounded Dense Captioning. 6241-6250 - Wen-Hsuan Chu, Yu-Jhe Li, Jing-Cheng Chang, Yu-Chiang Frank Wang:
Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification. 6251-6260 - Quanshi Zhang, Yu Yang, Haotian Ma, Ying Nian Wu:
Interpreting CNNs via Decision Trees. 6261-6270 - Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon:
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning. 6271-6280 - Zhou Yu, Jun Yu, Yuhao Cui, Dacheng Tao, Qi Tian:
Deep Modular Co-Attention Networks for Visual Question Answering. 6281-6290 - Yuan-Hong Liao, Xavier Puig, Marko Boben, Antonio Torralba, Sanja Fidler:
Synthesizing Environment-Aware Activities via Activity Sketches. 6291-6299 - Junlong Gao, Shiqi Wang, Shanshe Wang, Siwei Ma, Wen Gao:
Self-Critical N-Step Training for Image Captioning. 6300-6308 - Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra:
Multi-Target Embodied Question Answering. 6309-6318 - Hui Li, Peng Wang, Chunhua Shen, Anton van den Hengel:
Visual Question Answering as Reading Comprehension. 6319-6328 - Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao:
StoryGAN: A Sequential Conditional GAN for Story Visualization. 6329-6338 - Xuelian Cheng, Yiran Zhong, Yuchao Dai, Pan Ji, Hongdong Li:
Noise-Aware Unsupervised Deep Lidar-Stereo Fusion. 6339-6348 - Kai Tian, Yi Xu, Shuigeng Zhou, Jihong Guan:
Versatile Multiple Choice Learning and Its Application to Vision Computing. 6349-6357 - Yanxiang Wang, Bowen Du, Yiran Shen, Kai Wu, Guangrong Zhao, Jianguo Sun, Hongkai Wen:
EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors. 6358-6367 - Zhiming Cui, Changjian Li, Wenping Wang:
ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images. 6368-6377 - Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang:
Modularized Textual Grounding for Counterfactual Resilience. 6378-6388 - Weixin Lu, Yao Zhou, Guowei Wan, Shenhua Hou, Shiyu Song:
L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving. 6389-6398 - Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár:
Panoptic Feature Pyramid Networks. 6399-6408 - Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang:
Mask Scoring R-CNN. 6409-6418 - Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li:
Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection. 6419-6428 - Nils Murrugarra-Llerena, Adriana Kovashka:
Cross-Modality Personalization for Retrieval. 6429-6438 - Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays:
Composing Text and Image for Image Retrieval - an Empirical Odyssey. 6439-6448 - Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyunsoo Choi, Sungjin Kim:
Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation. 6449-6458 - Songtao Liu, Di Huang, Yunhong Wang:
Adaptive NMS: Refining Pedestrian Detection in a Crowd. 6459-6468 - Yuting Liu, Miaojing Shi, Qijun Zhao, Xiaofang Wang:
Point in, Box Out: Beyond Counting Persons in Crowds. 6469-6478 - Javier Ribera, David Guera, Yuhao Chen, Edward J. Delp:
Locating Objects Without Bounding Boxes. 6479-6489 - Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee:
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. 6490-6499 - Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong:
Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification. 6500-6509 - Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki:
Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects. 6510-6518 - Yucheng Shi, Siyu Wang, Yahong Han:
Curls & Whey: Boosting Black-Box Adversarial Attacks. 6519-6527 - Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean:
Barrage of Random Transforms for Adversarially Robust Defense. 6528-6537 - Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu, Lele Xie:
Aggregation Cross-Entropy for Sequence Recognition. 6538-6547 - Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. 6548-6557 - Davis Wertheimer, Bharath Hariharan:
Few-Shot Learning With Localization in Realistic Settings. 6558-6567 - Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs. 6568-6577 - Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach:
Grounded Video Description. 6578-6587 - Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han:
Streamlined Dense Video Captioning. 6588-6597 - Jae Sung Park, Marcus Rohrbach, Trevor Darrell, Anna Rohrbach:
Adversarial Inference for Multi-Sentence Video Description. 6598-6608 - Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, Wei-Ying Ma:
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations. 6609-6618 - Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu:
Learning to Compose Dynamic Tree Structures for Visual Contexts. 6619-6628 - Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. 6629-6638 - Peng Gao, Zhengkai Jiang, Haoxuan You, Pan Lu, Steven C. H. Hoi, Xiaogang Wang, Hongsheng Li:
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering. 6639-6648 - Meet Shah, Xinlei Chen, Marcus Rohrbach, Devi Parikh:
Cycle-Consistency for Robust Visual Question Answering. 6649-6658 - Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra:
Embodied Question Answering in Photorealistic Environments With Point Cloud Perception. 6659-6668 - Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu:
Reasoning Visual Dialogs With Structural and Partial Observations. 6669-6678 - Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen:
Recursive Visual Attention in Visual Dialog. 6679-6688 - Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi:
Two Body Problem: Collaborative Visual Task Completion. 6689-6699 - Drew A. Hudson, Christopher D. Manning:
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering. 6700-6709 - Fuwen Tan, Song Feng, Vicente Ordonez:
Text2Scene: Generating Compositional Scenes From Textual Descriptions. 6710-6719 - Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi:
From Recognition to Cognition: Visual Commonsense Reasoning. 6720-6731 - Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira:
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation. 6732-6740 - Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. 6741-6749 - Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning. 6750-6759 - Atul Ingle, Andreas Velten, Mohit Gupta:
High Flux Passive Imaging With Single-Photon Sensors. 6760-6769 - Anant Gupta, Atul Ingle, Andreas Velten, Mohit Gupta:
Photon-Flooded Single-Photon 3D Cameras. 6770-6779 - David B. Lindell, Gordon Wetzstein, Vladlen Koltun:
Acoustic Non-Line-Of-Sight Imaging. 6780-6789 - Wenzheng Chen, Simon Daneau, Fahim Mannan, Felix Heide:
Steady-State Non-Line-Of-Sight Imaging. 6790-6799 - Shumian Xin, Sotiris Nousias, Kiriakos N. Kutulakos, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan, Ioannis Gkioulekas:
A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction. 6800-6809 - Bingyao Huang, Haibin Ling:
End-To-End Projector Photometric Compensation. 6810-6819 - Liyuan Pan, Cedric Scheerlinck, Xin Yu, Richard Hartley, Miaomiao Liu, Yuchao Dai:
Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera. 6820-6829 - Kuldeep Purohit, Anshul B. Shah, A. N. Rajagopalan:
Bringing Alive Blurred Moments. 6830-6839 - Tim Brooks, Jonathan T. Barron:
Learning to Synthesize Motion Blur. 6840-6848 - Ruixing Wang, Qing Zhang, Chi-Wing Fu, Xiaoyong Shen, Wei-Shi Zheng, Jiaya Jia:
Underexposed Photo Enhancement Using Deep Illumination Estimation. 6849-6857 - Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or:
Blind Visual Motif Removal From a Single Image. 6858-6867 - Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao:
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. 6868-6877 - Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla:
Neural Rerendering in the Wild. 6878-6887 - Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto:
GeoNet: Deep Geodesic Networks for Point Cloud Analysis. 6888-6897 - Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, Mingyan Liu:
MeshAdv: Adversarial Meshes for Visual Recognition. 6898-6907 - Mathieu Garon, Kalyan Sunkavalli, Sunil Hadap, Nathan Carr, Jean-François Lalonde:
Fast Spatially-Varying Indoor Lighting Estimation. 6908-6917 - Shuran Song, Thomas A. Funkhouser:
Neural Illumination: Lighting Prediction for Indoor Environments. 6918-6926 - Yannick Hold-Geoffroy, Akshaya Athawale, Jean-François Lalonde:
Deep Sky Modeling for Single Image Outdoor Lighting Estimation. 6927-6935 - Yunsheng Li, Lu Yuan, Nuno Vasconcelos:
Bidirectional Learning for Domain Adaptation of Semantic Segmentation. 6936-6945 - Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou:
Enhanced Bayesian Compression via Deep Reinforcement Learning. 6946-6955 - Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko:
Strong-Weak Distribution Alignment for Adaptive Object Detection. 6956-6965 - Juan-Manuel Pérez-Rúa, Valentin Vielzeuf, Stéphane Pateux, Moez Baccouche, Frédéric Jurie:
MFAS: Multimodal Fusion Architecture Search. 6966-6975 - David Stutz, Matthias Hein, Bernt Schiele:
Disentangling Adversarial Robustness and Generalization. 6976-6987 - Rajkumar Theagarajan, Ming Chen, Bir Bhanu, Jing Zhang:
ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness. 6988-6996 - Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao:
Deeply-Supervised Knowledge Synergy. 6997-7006 - Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani:
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. 7007-7016 - Kun Yi, Jianxin Wu:
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels. 7017-7025 - Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, Xingang Wang:
Attention-Guided Unified Network for Panoptic Segmentation. 7026-7035 - Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le:
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. 7036-7045 - Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li, Zhangzhang Yue, Haifeng Sun:
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks. 7046-7055 - Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal:
Semantically Aligned Bias Reducing Zero Shot Learning. 7056-7065 - Nathan Inkawhich, Wei Wen, Hai (Helen) Li, Yiran Chen:
Feature Space Perturbations Yield More Transferable Adversarial Examples. 7066-7074 - Dominic Jack, Frédéric Maire, Sareh Shirazi, Anders P. Eriksson:
IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction. 7075-7084 - Georgios Georgiadis:
Accelerating Convolutional Neural Networks via Activation Map Compression. 7085-7095 - Yufan Liu, Jiajiong Cao, Bing Li, Chunfeng Yuan, Weiming Hu, Yangxi Li, Yunqiang Duan:
Knowledge Distillation via Instance Relationship Graph. 7096-7104 - Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao:
PPGNet: Learning Point-Pair Graph for Line Segment Detection. 7105-7114 - Zhen Wei, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen, Yi Zhou, Si Liu, Yao Sun, Ling Shao:
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling. 7115-7123 - Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi:
Variational Bayesian Dropout With a Hierarchical Prior. 7124-7133 - Chiat-Pin Tay, Sharmili Roy, Kim-Hui Yap:
AANet: Attribute Attention Network for Person Re-Identifications. 7134-7143 - Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox:
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. 7144-7153 - Yinghao Xu, Xin Dong, Yudian Li, Hao Su:
A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks. 7154-7162 - Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, Simon Lucey:
PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet. 7163-7172 - Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng:
Few-Shot Adaptive Faster R-CNN. 7173-7182 - Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen:
VRSTC: Occlusion-Free Video Person Re-Identification. 7183-7192 - Yajing Liu, Xinmei Tian, Ya Li, Zhiwei Xiong, Feng Wu:
Compact Feature Learning for Multi-Domain Image Classification. 7193-7201 - Jiawei Liu, Zheng-Jun Zha, Di Chen, Richang Hong, Meng Wang:
Adaptive Transfer Network for Cross-Domain Person Re-Identification. 7202-7211 - Aoxue Li, Tiange Luo, Zhiwu Lu, Tao Xiang, Liwei Wang:
Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy. 7212-7220 - Moein Shakeri, Hong Zhang:
Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition. 7221-7230 - Garrick Brazil, Xiaoming Liu:
Pedestrian Detection With Autoregressive Network Phases. 7231-7240 - Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu:
All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification. 7241-7250 - Yumin Suh, Bohyung Han, Wonsik Kim, Kyoung Mu Lee:
Stochastic Class-Based Hard Example Mining for Deep Metric Learning. 7251-7259 - Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo:
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning. 7260-7268 - Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh:
Towards Robust Curve Text Detection With Conditional Spatial Expansion. 7269-7278 - Miaojing Shi, Zhaohui Yang, Chao Xu, Qijun Chen:
Revisiting Perspective Information for Efficient Crowd Counting. 7279-7288 - Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos:
Towards Universal Object Detection by Domain Attention. 7289-7298 - Nicolas Aziere, Sinisa Todorovic:
Ensemble Deep Manifold Similarity Learning Using Hard Proxies. 7299-7307 - Jiwei Yang, Xu Shen, Jun Xing, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua:
Quantization Networks. 7308-7316 - Chong Peng, Chenglizhao Chen, Zhao Kang, Jianbo Li, Qiang Cheng:
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices. 7317-7325 - N. Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan:
Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks. 7326-7335 - Yanwei Pang, Tiancai Wang, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao:
Efficient Featurized Image Pyramid Network for Single Shot Detector. 7336-7344 - Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun:
Multi-Task Multi-Sensor Fusion for 3D Object Detection. 7345-7353 - Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han:
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation. 7354-7362 - Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, Junjie Yan:
Grid R-CNN. 7363-7372 - Weihe Zhang, Yali Wang, Yu Qiao:
MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition. 7373-7382 - Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli, Thomas Probst, Luc Van Gool:
Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map. 7383-7391 - Jiale Cao, Yanwei Pang, Xuelong Li:
Triply Supervised Decoder Networks for Joint Detection and Segmentation. 7392-7401 - Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang:
Leveraging the Invariant Side of Generative Zero-Shot Learning. 7402-7411 - Ehud Barnea, Ohad Ben-Shahar:
Exploring the Bounds of the Utility of Context for Object Detection. 7412-7420 - Artem Komarichev, Zichun Zhong, Jing Hua:
A-CNN: Annularly Convolutional Neural Networks on Point Clouds. 7421-7430 - Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun:
DARNet: Deep Active Ray Network for Building Segmentation. 7431-7439 - Loïc Landrieu, Mohamed Boussaha:
Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning. 7440-7449 - Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin:
Graphonomy: Universal Human Parsing via Graph Transfer Learning. 7450-7459 - Luca Magri, Andrea Fusiello:
Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage. 7460-7468 - Yunke Zhang, Lixue Gong, Lubin Fan, Peiran Ren, Qixing Huang, Hujun Bao, Weiwei Xu:
A Late Fusion CNN for Digital Matting. 7469-7478 - Xuebin Qin, Zichen Zhang, Chenyang Huang, Chao Gao, Masood Dehghan, Martin Jägersand:
BASNet: Boundary-Aware Salient Object Detection. 7479-7489 - Di Lin, Dingguo Shen, Siting Shen, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, Hui Huang:
ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation. 7490-7499 - Zian Wang, David Acuna, Huan Ling, Amlan Kar, Sanja Fidler:
Object Instance Annotation With Deep Extreme Level Set Evolution. 7500-7508 - Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang:
Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery. 7509-7518 - Junjun He, Zhongying Deng, Lei Zhou, Yali Wang, Yu Qiao:
Adaptive Pyramid Context Network for Semantic Segmentation. 7519-7528 - Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà:
Isospectralization, or How to Hear Shape, Style, and Correspondence. 7529-7538 - Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik:
Speech2Face: Learning the Face Behind a Voice. 7539-7548 - Kwang In Kim, Hyung Jin Chang:
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations. 7549-7557 - Huda AlAmri, Vincent Cartillier, Abhishek Das, Jue Wang, Anoop Cherian, Irfan Essa, Dhruv Batra, Tim K. Marks, Chiori Hori, Peter Anderson, Stefan Lee, Devi Parikh:
Audio Visual Scene-Aware Dialog. 7558-7567 - Junxuan Li, Antonio Robles-Kelly, Shaodi You, Yasuyuki Matsushita:
Learning to Minify Photometric Stereo. 7568-7576 - Koji Koyamatsu, Daichi Hidaka, Takahiro Okabe, Hendrik P. A. Lensch:
Reflective and Fluorescent Separation Under Narrow-Band Illumination. 7577-7585 - Dizhong Zhu, William A. P. Smith:
Depth From a Polarisation + RGB Stereo Pair. 7586-7595 - Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Rethinking the Evaluation of Video Summaries. 7596-7604 - Johann Sawatzky, Yaser Souri, Christian Grund, Jürgen Gall:
What Object Should I Use? - Task Driven Object Detection. 7605-7614 - Zengyi Qin, Jinglu Wang, Yan Lu:
Triangulation Learning Network: From Monocular to Stereo 3D Object Detection. 7615-7623 - Gernot Riegler, Yiyi Liao, Simon Donné, Vladlen Koltun, Andreas Geiger:
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation. 7624-7633 - Simon Donné, Andreas Geiger:
Learning Non-Volumetric Depth Fusion Using Successive Reprojections. 7634-7643 - Peiliang Li, Xiaozhi Chen, Shaojie Shen:
Stereo R-CNN Based 3D Object Detection for Autonomous Driving. 7644-7652 - Federico Camposeco, Andrea Cohen, Marc Pollefeys, Torsten Sattler:
Hybrid Scene Compression for Visual Localization. 7653-7662 - Hongwei Yi, Chen Li, Qiong Cao, Xiaoyong Shen, Sheng Li, Guoping Wang, Yu-Wing Tai:
MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction. 7663-7672 - Xiaojuan Qi, Zhengzhe Liu, Qifeng Chen, Jiaya Jia:
3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis. 7673-7682 - Shir Gur, Lior Wolf:
Single Image Depth Estimation Trained via Depth From Defocus Cues. 7683-7692 - Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid:
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. 7693-7702 - Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua:
Neural Scene Decomposition for Multi-Person Motion Capture. 7703-7713 - Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu:
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition. 7714-7722 - Mahyar Najibi, Bharat Singh, Larry S. Davis:
FA-RPN: Floating Region Proposals for Face Detection. 7723-7732 - Rui Zhao, Wanru Xu, Hui Su, Qiang Ji:
Bayesian Hierarchical Dynamic Model for Human Action Recognition. 7733-7742 - Yunyang Xiong, Hyunwoo J. Kim, Vikas Singh:
Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation. 7743-7752 - Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli:
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training. 7753-7762 - Soubhik Sanyal, Timo Bolkart, Haiwen Feng, Michael J. Black:
Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision. 7763-7772 - Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee:
PoseFix: Model-Agnostic General Human Pose Refinement Network. 7773-7781 - Bastian Wandt, Bodo Rosenhahn:
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation. 7782-7791 - Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou:
Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views. 7792-7801 - Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen:
Face-Focused Cross-Stream Network for Deception Detection in Videos. 7802-7811 - Yaoyao Zhong, Weihong Deng, Mei Wang, Jiani Hu, Jianteng Peng, Xunqiang Tao, Yaohai Huang:
Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data. 7812-7821 - Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic:
T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor. 7822-7831 - Lele Chen, Ross K. Maddox, Zhiyao Duan, Chenliang Xu:
Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss. 7832-7841 - Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu, Ling Shao:
Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video. 7842-7851 - Toby Perrett, Dima Damen:
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition. 7852-7861 - Hazel Doughty, Walterio W. Mayol-Cuevas, Dima Damen:
The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos. 7862-7871 - Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Collaborative Spatiotemporal Feature Learning for Video Action Recognition. 7872-7881 - Nieves Crasto, Philippe Weinzaepfel, Karteek Alahari, Cordelia Schmid:
MARS: Motion-Augmented RGB Stream for Action Recognition. 7882-7891 - Sina Mokhtarzadeh Azar, Mina Ghadimi Atigh, Ahmad Nickabadi, Alexandre Alahi:
Convolutional Relational Machine for Group Activity Recognition. 7892-7901 - Mrigank Rochan, Yang Wang:
Video Summarization by Learning From Unpaired Data. 7902-7911 - Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Skeleton-Based Action Recognition With Directed Graph Neural Networks. 7912-7921 - An Yan, Yali Wang, Zhifeng Li, Yu Qiao:
PA3D: Pose-Action 3D Machine for Video Recognition. 7922-7931 - Haoxin Li, Yijun Cai, Wei-Shi Zheng:
Deep Dual Relation Modeling for Egocentric Interaction Recognition. 7932-7941 - Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe:
MOTS: Multi-Object Tracking and Segmentation. 7942-7951 - Heng Fan, Haibin Ling:
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking. 7952-7961 - Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger:
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds. 7962-7971 - Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang:
Listen to the Image. 7972-7981 - Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi:
Image Super-Resolution by Neural Texture Transfer. 7982-7991 - Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li:
Conditional Adversarial Generative Flow for Controllable Image Synthesis. 7992-8001 - Dim P. Papadopoulos, Youssef Tamaazousti, Ferda Ofli, Ingmar Weber, Antonio Torralba:
How to Make a Pizza: Learning a Compositional Layer-Based GAN Model. 8002-8011 - Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy:
TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation. 8012-8021 - Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Pheng-Ann Heng:
Depth-Attentional Features for Single-Image Rain Removal. 8022-8031 - Lizhi Wang, Chen Sun, Ying Fu, Min H. Kim, Hua Huang:
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior. 8032-8041 - Donald G. Dansereau, Bernd Girod, Gordon Wetzstein:
LiFF: Light Field Features in Scale and Depth. 8042-8051 - Bo Zhang, Mingming He, Jing Liao, Pedro V. Sander, Lu Yuan, Amine Bermak, Dong Chen:
Deep Exemplar-Based Video Colorization. 8052-8061 - Yanlin Qian, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas:
On Finding Gray Pixels. 8062-8070 - Yang Wang, Peng Wang, Zhenheng Yang, Chenxu Luo, Yi Yang, Wei Xu:
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos. 8071-8081 - Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas J. Guibas, Qixing Huang:
Learning Transformation Synchronization. 8082-8091 - Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler:
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features. 8092-8101 - Seungjun Nah, Sanghyun Son, Kyoung Mu Lee:
Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring. 8102-8111 - Meiguang Jin, Zhe Hu, Paolo Favaro:
Learning to Extract Flawless Slow Motion From Blurry Videos. 8112-8121 - Jae Woong Soh, Gu Yong Park, Junho Jo, Nam Ik Cho:
Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination. 8122-8131 - Xuelun Shen, Cheng Wang, Xin Li, Zenglei Yu, Jonathan Li, Chenglu Wen, Ming Cheng, Zijian He:
RF-Net: An End-To-End Image Matching Network Based on Receptive Field. 8132-8140 - Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu:
Fast Single Image Reflection Suppression via Convex Optimization. 8141-8149 - Runmin Wu, Mengyang Feng, Wenlong Guan, Dong Wang, Huchuan Lu, Errui Ding:
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision. 8150-8159 - Yanyun Qu, Yizi Chen, Jingying Huang, Yuan Xie:
Enhanced Pix2pix Dehazing Network. 8160-8168 - Jari Korhonen:
Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering. 8169-8177 - Kaixuan Wei, Jiaolong Yang, Ying Fu, David P. Wipf, Hua Huang:
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements. 8178-8187 - Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen:
Exploring Context and Visual Pattern of Relationship for Scene Graph Generation. 8188-8197 - Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan:
Learning From Synthetic Data for Crowd Counting in the Wild. 8198-8207 - Ev Zisselman, Jeremias Sulam, Michael Elad:
A Local Block Coordinate Descent Algorithm for the CSC Model. 8208-8217 - Rakshith Shetty, Bernt Schiele, Mario Fritz:
Not Using the Car to See the Sidewalk - Quantifying and Controlling the Effects of Context in Classification and Segmentation. 8218-8226 - Novi Quadrianto, Viktoriia Sharmanska, Oliver Thomas:
Discovering Fair Representations in the Data Domain. 8227-8236 - Nikita Araslanov, Constantin A. Rothkopf, Stefan Roth:
Actor-Critic Instance Segmentation. 8237-8246 - Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. 8247-8255 - Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, Zeynep Akata:
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation. 8256-8265 - Xinhong Ma, Tianzhu Zhang, Changsheng Xu:
GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation. 8266-8276 - Lorenzo Porzi, Samuel Rota Bulò, Aleksander Colovic, Peter Kontschieder:
Seamless Scene Segmentation. 8277-8286 - Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce:
Unsupervised Image Matching and Object Discovery as Optimization. 8287-8296 - Qi Zhang, Antoni B. Chan:
Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs. 8297-8306 - Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. 8307-8316 - Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach:
Towards VQA Models That Can Read. 8317-8326 - Junchao Zhang, Yuxin Peng:
Object-Aware Aggregation With Bidirectional Temporal Graph for Video Captioning. 8327-8336 - Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo:
Progressive Attention Memory Network for Movie Story Question Answering. 8337-8346 - Wenjie Pei, Jiyuan Zhang, Xiangrong Wang, Lei Ke, Xiaoyong Shen, Yu-Wing Tai:
Memory-Attended Recurrent Network for Video Captioning. 8347-8356 - Peixi Xiong, Huayi Zhan, Xin Wang, Baivab Sinha, Ying Wu:
Visual Query Answering by Entity-Attribute Graph Matching and Reasoning. 8357-8366 - Yu Qin, Jiajun Du, Yonghua Zhang, Hongtao Lu:
Look Back and Predict Forward in Image Captioning. 8367-8375 - Jiaxin Shi, Hanwang Zhang, Juanzi Li:
Explainable and Explicit Visual Reasoning Over Scene Graphs. 8376-8384 - Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han:
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering. 8385-8394 - Yue Zheng, Yali Li, Shengjin Wang:
Intention Oriented Image Captions With Guiding Objects. 8395-8404 - Rajeev Yasarla, Vishal M. Patel:
Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining. 8405-8414 - Bor-Chun Chen, Andrew Kae:
Toward Realistic Image Compositing With Adversarial Learning. 8415-8424 - Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Nir Shavit:
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics. 8425-8435 - Danying Hu, Daniel DeTone, Tomasz Malisiewicz:
Deep ChArUco: Dark ChArUco Marker Pose Estimation. 8436-8444 - Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger:
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. 8445-8453 - Joey Hong, Benjamin Sapp, James Philbin:
Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions. 8454-8462 - Marc Niethammer, Roland Kwitt, François-Xavier Vialard:
Metric Learning for Image Registration. 8463-8472 - Qing Li, Shaoyang Chen, Cheng Wang, Xin Li, Chenglu Wen, Ming Cheng, Jonathan Li:
LO-Net: Deep Real-Time Lidar Odometry. 8473-8482 - Rohan Chandra, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha:
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions. 8483-8492 - Jiayan Qiu, Xinchao Wang, Stephen J. Maybank, Dacheng Tao:
World From Blur. 8493-8504 - Jianyang Xie, Yitian Zhao, Yonghuai Liu, Pan Su, Yifan Zhao, Jun Cheng, Yalin Zheng, Jiang Liu:
Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering. 8505-8513 - Feng Zheng, Cheng Deng, Xing Sun, Xinyang Jiang, Xiaowei Guo, Zongqiao Yu, Feiyue Huang, Rongrong Ji:
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training. 8514-8522 - Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology. 8523-8532 - Le Hou, Ayush Agarwal, Dimitris Samaras, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz:
Robust Histopathology Image Analysis: To Label or to Synthesize? 8533-8542 - Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca:
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation. 8543-8553 - Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen:
Shifting More Attention to Video Salient Object Detection. 8554-8564 - De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles:
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. 8565-8574 - Fei Xue, Xin Wang, Shunkai Li, Qiuyuan Wang, Junqiu Wang, Hongbin Zha:
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry. 8575-8583 - Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal:
Image Generation From Layout. 8584-8593 - Atsushi Kanehira, Kentaro Takemoto, Sho Inayoshi, Tatsuya Harada:
Multimodal Explanations by Predicting Counterfactuality in Videos. 8594-8602 - Atsushi Kanehira, Tatsuya Harada:
Learning to Explain With Complemental Examples. 8603-8611 - Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han:
HAQ: Hardware-Aware Automated Quantization With Mixed Precision. 8612-8620 - Pawel Korus, Nasir D. Memon:
Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels. 8621-8629 - Elena Trunz, Sebastian Merzbach, Jonathan Klein, Thomas Schulze, Michael Weinmann, Reinhard Klein:
Inverse Procedural Modeling of Knitwear. 8630-8639 - Zongmian Li, Jirí Sedlár, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic:
Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video. 8640-8649 - Li Ding, Chen Feng:
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds. 8650-8659 - Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun:
End-To-End Interpretable Neural Motion Planner. 8660-8669 - Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song-Chun Zhu, Ying Nian Wu:
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model. 8670-8679 - Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert:
Image Deformation Meta-Networks for One-Shot Learning. 8680-8689 - Jicong Fan, Madeleine Udell:
Online High Rank Matrix Completion. 8690-8698 - Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan:
Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds. 8699-8708 - Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays:
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging. 8709-8719 - Yuanman Li, Jiantao Zhou, Xianwei Zheng, Jinyu Tian, Yuan Yan Tang:
Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling. 8720-8729 - Thomas Probst, Ajad Chhatkuli, Danda Pani Paudel, Luc Van Gool:
What Correspondences Reveal About Unknown Camera and Motion Models? 8730-8738 - Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong:
Self-Calibrating Deep Photometric Stereo Networks. 8739-8747 - Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays:
Argoverse: 3D Tracking and Forecasting With Rich Maps. 8748-8757 - Hui Yin, Yuanhao Gong, Guoping Qiu:
Side Window Filtering. 8758-8766 - Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan:
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search. 8767-8776 - Stefan Stojanov, Samarth Mishra, Ngoc Anh Thai, Nikhil Dhanda, Ahmad Humayun, Chen Yu, Linda B. Smith, James M. Rehg:
Incremental Object Learning From Contiguous Views. 8777-8786 - Xiaoping Wu, Chi Zhan, Yu-Kun Lai, Ming-Ming Cheng, Jufeng Yang:
IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition. 8787-8796 - Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David C. Anastasiu, Jenq-Neng Hwang:
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification. 8797-8806 - Amir Zadeh, Michael Chan, Paul Pu Liang, Edmund Tong, Louis-Philippe Morency:
Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence. 8807-8817 - Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun:
UPSNet: A Unified Panoptic Segmentation Network. 8818-8826 - Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung:
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields. 8827-8836 - Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool:
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth. 8837-8845 - Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang:
DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection. 8846-8855 - Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro:
Improving Semantic Segmentation via Video Propagation and Label Relaxation. 8856-8865 - Samvit Jain, Xin Wang, Joseph E. Gonzalez:
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video. 8866-8875 - Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, Kai Xu:
Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes. 8876-8884 - Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang:
Semantic Correlation Promoted Shape-Variant Context for Segmentation. 8885-8894 - Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan:
Relation-Shape Convolutional Neural Network for Point Cloud Analysis. 8895-8904 - Wenda Zhao, Bowen Zheng, Qiuhua Lin, Huchuan Lu:
Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network. 8905-8913 - Brent A. Griffin, Jason J. Corso:
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames. 8914-8923 - Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian:
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. 8924-8933 - M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen:
Efficient Parameter-Free Clustering Using First Neighbor Relations. 8934-8943 - Xiaodan Liang:
Learning Personalized Modular Network Guided by Structured Knowledge. 8944-8952 - Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg:
A Generative Appearance Model for End-To-End Video Object Segmentation. 8953-8962 - Gilles Puy, Patrick Pérez:
A Flexible Convolutional Solver for Fast Style Transfers. 8963-8972 - Shangqian Gao, Cheng Deng, Heng Huang:
Cross Domain Model Compression by Structurally Weight Sharing. 8973-8982 - Matthew Amodio, Smita Krishnaswamy:
TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning. 8983-8992 - Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao:
Deep Robust Subjective Visual Property Prediction in Crowdsourcing. 8993-9001 - Chao Xue, Junchi Yan, Rong Yan, Stephen M. Chu, Yonggang Hu, Yonghua Lin:
Transferable AutoML by Model Sharing Over Grouped Datasets. 9002-9011 - Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim:
Learning Not to Learn: Training Deep Neural Networks With Biased Data. 9012-9020 - Minghao Guo, Zhao Zhong, Wei Wu, Dahua Lin, Junjie Yan:
IRLAS: Inverse Reinforcement Learning for Architecture Search. 9021-9029 - Seonguk Seo, Paul Hongsuck Seo, Bohyung Han:
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences. 9030-9038 - Masanori Suganuma, Xing Liu, Takayuki Okatani:
Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions. 9039-9048 - Xijun Wang, Meina Kan, Shiguang Shan, Xilin Chen:
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks. 9049-9058 - Jian Ren, Zhe Li, Jianchao Yang, Ning Xu, Tianbao Yang, David J. Foran:
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch. 9059-9068 - Dayan Wu, Qi Dai, Jing Liu, Bo Li, Weiping Wang:
Deep Incremental Hashing Network for Efficient Image Retrieval. 9069-9077 - Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard:
Robustness via Curvature Regularization, and Vice Versa. 9078-9086 - Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
SparseFool: A Few Pixels Make a Big Difference. 9087-9096 - Jörg Wagner, Jan Mathias Köhler, Tobias Gindele, Leon Hetzel, Jakob Thaddäus Wiedemer, Sven Behnke:
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks. 9097-9107 - Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin:
Structured Pruning of Neural Networks With Budget-Aware Regularization. 9108-9116 - Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang:
MBS: Macroblock Scaling for CNN Model Reduction. 9117-9125 - Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian D. Reid:
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells. 9126-9135 - Chong Xiang, Charles R. Qi, Bo Li:
Generating 3D Adversarial Point Clouds. 9136-9144 - Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng:
Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search. 9145-9153 - Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu:
Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics. 9154-9162 - Sungsoo Ahn, Shell Xu Hu, Andreas C. Damianou, Neil D. Lawrence, Zhenwen Dai:
Variational Information Distillation for Knowledge Transfer. 9163-9171 - Zhourong Chen, Yang Li, Samy Bengio, Si Si:
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs. 9172-9180 - Yeon Kun Lee, Jaeseok Jeong, Jong Seob Yun, Wonjune Cho, Kuk-Jin Yoon:
SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images. 9181-9189 - Sachin Mehta, Mohammad Rastegari, Linda G. Shapiro, Hannaneh Hajishirzi:
ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network. 9190-9200 - Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi, Mohammad Rastegari, Babak Nadjar Araabi:
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors. 9201-9210 - Liyu Gong, Qiang Cheng:
Exploiting Edge Features for Graph Neural Networks. 9211-9219 - Dejiang Xu, Mong-Li Lee, Wynne Hsu:
Propagation Mechanism for Deep and Wide Neural Networks. 9220-9228 - Chih-Hui Ho, Brandon Leung, Erik Sandström, Yen Chang, Nuno Vasconcelos:
Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks. 9229-9237 - Qiuyu Chen, Wei Zhang, Jun Yu, Jianping Fan:
Embedding Complementary Deep Networks for Image Classification. 9238-9247 - Di Hu, Feiping Nie, Xuelong Li:
Deep Multimodal Clustering for Unsupervised Audiovisual Learning. 9248-9257 - Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc:
Dense Classification and Implanting for Few-Shot Learning. 9258-9267 - Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge J. Belongie:
Class-Balanced Loss Based on Effective Number of Samples. 9268-9277 - Xi Shen, Alexei A. Efros, Mathieu Aubry:
Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning. 9278-9287 - Samitha Herath, Mehrtash Harandi, Basura Fernando, Richard Nock:
Min-Max Statistical Alignment for Transfer Learning. 9288-9297 - Hang Xu, Chenhan Jiang, Xiaodan Liang, Zhenguo Li:
Spatial-Aware Graph Relation Network for Large-Scale Object Detection. 9298-9307 - Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai:
Deformable ConvNets V2: More Deformable, Better Results. 9308-9316 - Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen:
Interaction-And-Aggregation Network for Person Re-Identification. 9317-9326 - Ryuhei Hamaguchi, Ken Sakurada, Ryosuke Nakamura:
Rare Event Detection Using Disentangled Representation Learning. 9327-9335 - Wenhai Wang, Enze Xie, Xiang Li, Wenbo Hou, Tong Lu, Gang Yu, Shuai Shao:
Shape Robust Text Detection With Progressive Scale Expansion Network. 9336-9345 - Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang, Xun Wang:
Dual Encoding for Zero-Example Video Retrieval. 9346-9355 - Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar:
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. 9356-9364 - Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee:
Character Region Awareness for Text Detection. 9365-9374 - Vlad Hosu, Bastian Goldlücke, Dietmar Saupe:
Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features. 9375-9383 - Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao:
Attentive Region Embedding Network for Zero-Shot Learning. 9384-9393 - Arun Mukundan, Giorgos Tolias, Ondrej Chum:
Explicit Spatial Encoding for Deep Local Descriptors. 9394-9403 - Alexander Kirillov, Kaiming He, Ross B. Girshick, Carsten Rother, Piotr Dollár:
Panoptic Segmentation. 9404-9413 - Krishna Kumar Singh, Yong Jae Lee:
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection. 9414-9422 - Cheng Chang, Guangwei Yu, Chundi Liu, Maksims Volkovs:
Explore-Exploit Graph Traversal for Image Retrieval. 9423-9431 - Aditya Arun, C. V. Jawahar, M. Pawan Kumar:
Dissimilarity Coefficient Based Weakly Supervised Object Detection. 9432-9441 - Yu-Chuan Su, Kristen Grauman:
Kernel Transformer Networks for Compact Spherical Convolution. 9442-9451 - Chen Zhang, Joohee Kim:
Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering. 9452-9461 - Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon:
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images. 9462-9470 - Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Samuel Rota Bulò, Nicu Sebe, Elisa Ricci:
Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss. 9471-9480 - Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen:
FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation. 9481-9490 - Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu:
PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation. 9491-9500 - Konstantin Dmitriev, Arie E. Kaufman:
Learning Multi-Class Segmentations From Single-Class Datasets. 9501-9511 - Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun:
Convolutional Recurrent Network for Road Boundary Extraction. 9512-9521 - Hanchao Li, Pengfei Xiong, Haoqiang Fan, Jian Sun:
DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation. 9522-9531 - Måns Larsson, Erik Stenborg, Lars Hammarstrand, Marc Pollefeys, Torsten Sattler, Fredrik Kahl:
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. 9532-9542 - Yue Wu, Wael AbdAlmageed, Premkumar Natarajan:
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features. 9543-9552 - Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi:
On Zero-Shot Recognition of Generic Objects. 9553-9561 - Varun Manjunatha, Nirat Saini, Larry S. Davis:
Explicit Bias Discovery in Visual Question Answering Models. 9562-9571 - Yi Li, Nuno Vasconcelos:
REPAIR: Removing Representation Bias by Dataset Resampling. 9572-9581 - Qimai Li, Xiao-Ming Wu, Han Liu, Xiaotong Zhang, Zhichao Guan:
Label Efficient Semi-Supervised Learning via Graph Filtering. 9582-9591 - Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger:
MVTec AD - A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection. 9592-9600 - Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo:
ABC: A Big CAD Model Dataset for Geometric Deep Learning. 9601-9611 - Yuliang Liu, Lianwen Jin, Zecheng Xie, Canjie Luo, Shuaitao Zhang, Lele Xie:
Tightness-Aware Evaluation Protocol for Scene Text Detection. 9612-9620 - Wenxuan Wu, Zhongang Qi, Fuxin Li:
PointConv: Deep Convolutional Networks on 3D Point Clouds. 9621-9630 - Huan Lei, Naveed Akhtar, Ajmal Mian:
Octree Guided CNN With Spherical Kernels for 3D Point Clouds. 9631-9640 - Masashi Yokozuka, Shuji Oishi, Simon Thompson, Atsuhiko Banno:
VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points. 9641-9650 - Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu:
Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction. 9651-9660 - Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr:
Learning to Adapt for Stereo. 9661-9670 - Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc Van Gool:
3D Appearance Super-Resolution With Deep Learning. 9671-9680 - Zuzana Kukelova, Viktor Larsson:
Radial Distortion Triangulation. 9681-9689 - Ziquan Lan, Zi Jian Yew, Gim Hee Lee:
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes. 9690-9698 - Pedro Miraldo, Surojit Saha, Srikumar Ramalingam:
Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment. 9699-9708 - Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello:
Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning. 9709-9718 - Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang:
Joint Face Detection and Facial Motion Retargeting for Multiple Faces. 9719-9728 - Jaehan Lee, Chang-Su Kim:
Monocular Depth Estimation Using Relative Depth Maps. 9729-9738 - Salman H. Khan, Yulan Guo, Munawar Hayat, Nick Barnes:
Unsupervised Primitive Discovery for Improved 3D Generative Modeling. 9739-9748 - Qiudan Zhang, Xu Wang, Shiqi Wang, Shikai Li, Sam Kwong, Jianmin Jiang:
Learning to Explore Intrinsic Saliency for Stereoscopic Video. 9749-9758 - Shuai Liao, Efstratios Gavves, Cees G. M. Snoek:
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres. 9759-9767 - Andrea Pilzer, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci:
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation. 9768-9777 - Hiroharu Kato, Tatsuya Harada:
Learning View Priors for Single-View 3D Reconstruction. 9778-9787 - Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao:
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. 9788-9798 - Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia:
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge. 9799-9809 - Yue Meng, Yongxi Lu, Aman Raj, Samuel Sunarjo, Rui Guo, Tara Javidi, Gaurav Bansal, Dinesh Bharadia:
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception. 9810-9820 - Zhenglin Geng, Chen Cao, Sergey Tulyakov:
3D Guided Fine-Grained Face Manipulation. 9821-9830 - Kang Wang, Hui Su, Qiang Ji:
Neuro-Inspired Eye Tracking With Eye Movement Dynamics. 9831-9840 - Xiuyi Jia, Xiang Zheng, Weiwei Li, Changqing Zhang, Zechao Li:
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally. 9841-9850 - Yichen Qian, Weihong Deng, Jiani Hu:
Unsupervised Face Normalization With Extreme Pose and Expression in the Wild. 9851-9858 - Ying-Cong Chen, Xiaohui Shen, Zhe Lin, Xin Lu, I-Ming Pao, Jiaya Jia:
Semantic Component Decomposition for Face Attribute Manipulation. 9859-9867 - Ken Chen, Yichao Wu, Haoyu Qin, Ding Liang, Xuebo Liu, Junjie Yan:
R3 Adversarial Network for Cross Model Face Recognition. 9868-9876 - Linlin Yang, Angela Yao:
Disentangling Latent Hands for Image Synthesis and Pose Estimation. 9877-9886 - Chen Li, Gim Hee Lee:
Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network. 9887-9895 - Kuo Du, Xiangbo Lin, Yi Sun, Xiaohong Ma:
CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation. 9896-9905 - Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao, Xiaogang Wang, Hongsheng Li:
P2SGrad: Refined Gradients for Optimizing Deep Face Models. 9906-9914 - Davide Moltisanti, Sanja Fidler, Dima Damen:
Action Recognition From Single Timestamp Supervision in Untrimmed Videos. 9915-9924 - Qiuhong Ke, Mario Fritz, Bernt Schiele:
Time-Conditioned Action Anticipation in One Shot. 9925-9934 - Jiaojiao Zhao, Cees G. M. Snoek:
Dance With Flow: Two-In-One Stream Action Detection. 9935-9944 - A. J. Piergiovanni, Michael S. Ryoo:
Representation Flow for Action Recognition. 9945-9953 - Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz:
LSTA: Long Short-Term Attention for Egocentric Action Recognition. 9954-9963 - Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu:
Learning Actor Relation Graphs for Group Activity Recognition. 9964-9974 - Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid:
A Structured Model for Action Detection. 9975-9984 - Devraj Mandal, Sanath Narayan, Sai Kumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao:
Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition. 9985-9993 - Christopher Xie, Yu Xiang, Zaïd Harchaoui, Dieter Fox:
Object Discovery in Videos as Foreground Motion Clustering. 9994-10003 - Zhenguang Liu, Shuang Wu, Shuyuan Jin, Qi Liu, Shijian Lu, Roger Zimmermann, Li Cheng:
Towards Natural and Accurate Future Motion Prediction of Humans and Animals. 10004-10012 - Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Nghia Nguyen, Eric Patterson, Tien D. Bui, Ngan Le:
Automatic Face Aging in Videos via Deep Reinforcement Learning. 10013-10022 - Rui Shao, Xiangyuan Lan, Jiawei Li, Pong C. Yuen:
Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection. 10023-10031 - Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer:
A Content Transformation Block for Image Style Transfer. 10032-10041 - Hung-Jen Chen, Ka-Ming Hui, Szu-Yu Wang, Li-Wu Tsao, Hong-Han Shuai, Wen-Huang Cheng:
BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network. 10042-10050 - Nicholas I. Kolkin, Jason Salavon, Gregory Shakhnarovich:
Style Transfer by Relaxed Optimal Transport and Self-Similarity. 10051-10060 - Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang:
Inserting Videos Into Videos. 10061-10070 - Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto:
Learning Image and Video Compression Through Spatial-Temporal Energy Compaction. 10071-10080 - Lin Wang, S. Mohammad Mostafavi I., Yo-Sung Ho, Kuk-Jin Yoon:
Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks. 10081-10090 - Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong:
Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification. 10091-10100 - Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw, Anurag Ranjan, Michael J. Black:
Capture, Learning, and Synthesis of 3D Speaking Styles. 10101-10111 - Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer:
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks. 10112-10120 - Qi Zhang, Jinbo Ling, Qing Wang, Jingyi Yu:
Ray-Space Projection Model for Light Field Camera. 10121-10129 - Francis Williams, Teseo Schneider, Cláudio T. Silva, Denis Zorin, Joan Bruna, Daniele Panozzo:
Deep Geometric Prior for Surface Reconstruction. 10130-10139 - Xiaochun Liu, Sebastian Bauer, Andreas Velten:
Analysis of Feature Visibility in Non-Line-Of-Sight Measurements. 10140-10148 - Yuanyuan Zhao, Hui Guo, Zhan Ma, Xun Cao, Tao Yue, Xuemei Hu:
Hyperspectral Imaging With Random Printed Mask. 10149-10157 - Jinsong Zhang, Kalyan Sunkavalli, Yannick Hold-Geoffroy, Sunil Hadap, Jonathan Eisenmann, Jean-François Lalonde:
All-Weather Deep Outdoor Lighting Estimation. 10158-10166 - Liuge Yang, Hui Ji:
A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring. 10167-10176 - Chen Li, Mai Xu, Lai Jiang, Shanyi Zhang, Xiaoming Tao:
Viewport Proposal CNN for 360deg Video Quality Assessment. 10177-10186 - Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov:
Beyond Gradient Descent for Regularized Segmentation Losses. 10187-10196 - Daniel Barath, Jiri Matas, Jana Noskova:
MAGSAC: Marginalizing Sample Consensus. 10197-10205 - Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault:
Understanding and Visualizing Deep Visual Saliency Models. 10206-10215 - Zhongwen Zhang, Dmitrii Marin, Egor Chesakov, Marc Moreno Maza, Maria Drangova, Yuri Boykov:
Divergence Prior and Vessel-Tree Reconstruction. 10216-10224 - Boyu Lu, Jun-Cheng Chen, Rama Chellappa:
Unsupervised Domain-Specific Deblurring via Disentangled Representations. 10225-10234 - Raied Aljadaany, Dipan K. Pal, Marios Savvides:
Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution. 10235-10244 - Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit:
Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras. 10245-10254 - Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun:
Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior. 10255-10264 - Xueyang Fu, Zihuang Lin, Yue Huang, Xinghao Ding:
A Variational Pan-Sharpening With Local Gradient Constraints. 10265-10274 - Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. 10275-10284 - Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht:
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. 10285-10295 - Lei Wang, Yuchun Huang, Yaolin Hou, Shenman Zhang, Jie Shan:
Graph Attention Convolution for Point Cloud Semantic Segmentation. 10296-10305 - Shaohui Liu, Xiao Zhang, Jianqiao Wangni, Jianbo Shi:
Normalized Diversification. 10306-10315 - Xinkai Wei, Ioan Andrei Barsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun:
Learning to Localize Through Compressed Binary Maps. 10316-10324 - Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker:
A Parametric Top-View Representation of Complex Road Scenes. 10325-10333 - Dejing Xu, Jun Xiao, Zhou Zhao, Jian Shao, Di Xie, Yueting Zhuang:
Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction. 10334-10343 - Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger:
Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids. 10344-10353 - Xianglei Xing, Tian Han, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu:
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network. 10354-10363 - Zeyu Feng, Chang Xu, Dacheng Tao:
Self-Supervised Representation Learning by Rotation Feature Decoupling. 10364-10374 - Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li:
Weakly Supervised Deep Image Hashing Through Tag Embeddings. 10375-10384 - Anil Batra, Suriya Singh, Guan Pang, Saikat Basu, C. V. Jawahar, Manohar Paluri:
Improved Road Connectivity by Joint Learning of Orientation and Segmentation. 10385-10393 - Liangli Zhen, Peng Hu, Xu Wang, Dezhong Peng:
Deep Supervised Cross-Modal Retrieval. 10394-10403 - Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro:
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. 10404-10413 - Bo Jiang, Doudou Lin, Jin Tang, Bin Luo:
Data Representation and Learning With Graph Diffusion-Embedding Networks. 10414-10423 - Yao-Hung Hubert Tsai, Santosh Kumar Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi:
Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph. 10424-10433 - Dalu Guo, Chang Xu, Dacheng Tao:
Image-Question-Answer Synergistic Network for Visual Dialog. 10434-10443 - Jing Shi, Jia Xu, Boqing Gong, Chenliang Xu:
Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses. 10444-10452 - Amaia Salvador, Michal Drozdzal, Xavier Giró-i-Nieto, Adriana Romero:
Inverse Cooking: Recipe Generation From Food Images. 10453-10462 - Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu:
Adversarial Semantic Alignment for Improved Image Captions. 10463-10471 - Robik Shrestha, Kushal Kafle, Christopher Kanan:
Answer Them All! Toward Universal Visual Question Answering Models. 10472-10481 - Yuanhang Su, Kai Fan, Nguyen Bach, C.-C. Jay Kuo, Fei Huang:
Unsupervised Multi-Modal Neural Machine Translation. 10482-10491 - Duy-Kien Nguyen, Takayuki Okatani:
Multi-Task Learning of Hierarchical Vision-Language Representation. 10492-10501 - Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang:
Cross-Modal Self-Attention Network for Referring Image Segmentation. 10502-10511 - Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sun, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou:
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction. 10512-10521 - Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao:
Fast Spatio-Temporal Residual Network for Video Super-Resolution. 10522-10531 - Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian J. McAuley:
Complete the Look: Scene-Based Complementary Product Recommendation. 10532-10541 - Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni:
Selective Sensor Fusion for Neural Visual-Inertial Odometry. 10542-10551 - Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding:
Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes. 10552-10561 - Zhi Lu, Yang Hu, Yunchao Jiang, Yan Chen, Bing Zeng:
Learning Binary Code for Personalized Fashion Recommendation. 10562-10570 - Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Hanruo Liu:
Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model. 10571-10580 - Ries Uittenbogaard, Clint Sebastian, Julien A. Vijverberg, Bas Boom, Dariu M. Gavrila, Peter H. N. de With:
Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery. 10581-10590 - Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John F. Canny:
Grounding Human-To-Vehicle Advice for Self-Driving Vehicles. 10591-10599 - Nima Mohajerin, Mohsen Rohani:
Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks. 10600-10608 - Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba:
Connecting Touch and Vision via Cross-Modal Prediction. 10609-10618 - Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng:
X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks. 10619-10628 - Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Practical Full Resolution Learned Lossless Image Compression. 10629-10638 - Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo:
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. 10639-10647 - Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing:
Max-Sliced Wasserstein Distance and Its Use for GANs. 10648-10656 - Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto:
Meta-Learning With Differentiable Convex Optimization. 10657-10665 - Aaditya Prakash, James A. Storer, Dinei A. F. Florêncio, Cha Zhang:
RePr: Improved Training of Convolutional Filters. 10666-10675 - Bing Yu, Jingfeng Wu, Jinwen Ma, Zhanxing Zhu:
Tangent-Normal Adversarial Regularization for Semi-Supervised Learning. 10676-10684 - Xu Yang, Kaihua Tang, Hanwang Zhang, Jianfei Cai:
Auto-Encoding Scene Graphs for Image Captioning. 10685-10694 - Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G. Schwing, David A. Forsyth:
Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech. 10695-10704 - Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. 10705-10714 - Breton L. Minnehan, Andreas E. Savakis:
Cascaded Projection: End-To-End Network Compression and Acceleration. 10715-10724 - Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo:
DeepCaps: Going Deeper With Capsule Networks. 10725-10733 - Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer:
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. 10734-10742 - Ran Yi, Yong-Jin Liu, Yu-Kun Lai, Paul L. Rosin:
APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs. 10743-10752 - Eric Heim:
Constrained Generative Adversarial Networks for Interactive Image Generation. 10753-10761 - Yichun Shi, Debayan Deb, Anil K. Jain:
WarpGAN: Automatic Caricature Generation. 10762-10771 - Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann:
Explainability Methods for Graph Convolutional Neural Networks. 10772-10781 - M. Ehsan Abbasnejad, Qinfeng Shi, Anton van den Hengel, Lingqiao Liu:
A Generative Adversarial Density Estimator. 10782-10791 - Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates. 10792-10801 - Michael Bao, Matthew Cong, Stéphane Grabli, Ronald Fedkiw:
High-Quality Face Capture Using Anatomical Muscles. 10802-10811 - Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt:
FML: Face Model Learning From Videos. 10812-10822 - Xiao Zhang, Rui Zhao, Yu Qiao, Xiaogang Wang, Hongsheng Li:
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations. 10823-10832 - Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan:
3D Hand Shape and Pose Estimation From a Single RGB Image. 10833-10842 - Adnane Boukhayma, Rodrigo Andrade de Bem, Philip H. S. Torr:
3D Hand Shape and Pose From Images in the Wild. 10843-10852 - Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Self-Supervised 3D Hand Pose Estimation Through Training by Fitting. 10853-10862 - Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Haoshu Fang, Cewu Lu:
CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark. 10863-10872 - Hanbyul Joo, Tomas Simon, Mina Cikara, Yaser Sheikh:
Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction. 10873-10883 - Riza Alp Güler, Iasonas Kokkinos:
HoloPose: Holistic 3D Human Reconstruction In-The-Wild. 10884-10894 - Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin:
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation. 10895-10904 - Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Gerard Pons-Moll, Christian Theobalt:
In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations. 10905-10914 - Natalia Neverova, James Thewlis, Riza Alp Güler, Iasonas Kokkinos, Andrea Vedaldi:
Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues. 10915-10923 - Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen:
Self-Supervised Representation Learning From Videos for Facial Action Unit Detection. 10924-10933 - Stylianos Ploumpis, Haoyang Wang, Nick E. Pears, William A. P. Smith, Stefanos Zafeiriou:
Combining 3D Morphable Models: A Large Scale Face-And-Head Model. 10934-10943 - Zhenfeng Fan, Xiyuan Hu, Chen Chen, Silong Peng:
Boosting Local Shape Matching for Dense 3D Face Correspondence. 10944-10954 - Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer:
Unsupervised Part-Based Disentangling of Object Shape and Appearance. 10955-10964 - Donglai Xiang, Hanbyul Joo, Yaser Sheikh:
Monocular Total Capture: Posing Face, Body, and Hands in the Wild. 10965-10974 - Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black:
Expressive Body Capture: 3D Hands, Face, and Body From a Single Image. 10975-10985 - Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa G. Narasimhan, Jan Kautz:
Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera. 10986-10995 - Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy S. Ren:
DAVANet: Stereo Deblurring With View Aggregation. 10996-11005 - Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao:
DVC: An End-To-End Deep Video Compression Framework. 11006-11015 - Yurun Tian, Xin Yu, Bin Fan, Fuchao Wu, Huub Heijnen, Vassileios Balntas:
SOSNet: Second Order Similarity Regularization for Local Descriptor Learning. 11016-11025 - Yossi Gandelsman, Assaf Shocher, Michal Irani:
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors. 11026-11035 - Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron:
Unprocessing Images for Learned Raw Denoising. 11036-11045 - Shuo Zhang, Youfang Lin, Hao Sheng:
Residual Networks for Light Field Image Super-Resolution. 11046-11055 - Jingwen He, Chao Dong, Yu Qiao:
Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers. 11056-11064 - Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, Lei Zhang:
Second-Order Attention Network for Single Image Super-Resolution. 11065-11074 - David Acuna, Amlan Kar, Sanja Fidler:
Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations. 11075-11083 - Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou, Qixing Huang:
Path-Invariant Map Networks. 11084-11094 - Wei Gao, Russ Tedrake:
FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization. 11095-11104 - Tolga Birdal, Umut Simsekli:
Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope. 11105-11116 - Thomas Möllenhoff, Daniel Cremers:
Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus. 11117-11126 - Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu:
A Sufficient Condition for Convergences of Adam and RMSProp. 11127-11135 - Chao Li, Wei He, Longhao Yuan, Zhun Sun, Qibin Zhao:
Guaranteed Matrix Completion Under Multiple Linear Transformations. 11136-11145 - Paul Swoboda, Vladimir Kolmogorov:
MAP Inference via Block-Coordinate Frank-Wolfe Algorithm. 11146-11155 - Paul Swoboda, Dagmar Kainmüller, Ashkan Mokarian, Christian Theobalt, Florian Bernard:
A Convex Relaxation for Multi-Graph Matching. 11156-11165 - Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik G. Learned-Miller, Jan Kautz:
Pixel-Adaptive Convolutional Neural Networks. 11166-11175 - Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger:
Single-Frame Regularization for Temporally Stable CNNs. 11176-11185 - Arushi Goel, Keng Teck Ma, Cheston Tan:
An End-To-End Network for Generating Social Relationship Graphs. 11186-11195 - Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh:
Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset. 11196-11205 - Haichuan Yang, Yuhao Zhu, Ji Liu:
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model. 11206-11215 - Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang:
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. 11216-11225 - Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy:
Defending Against Adversarial Attacks by Randomized Diversification. 11226-11233 - Xuanqing Liu, Cho-Jui Hsieh:
Rob-GAN: Generator, Discriminator, and Adversarial Attacker. 11234-11243 - Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman:
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion. 11244-11253 - Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars:
Task-Free Continual Learning. 11254-11263 - Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz:
Importance Estimation for Neural Network Pruning. 11264-11272 - Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
Detecting Overfitting of Deep Generative Networks via Latent Recovery. 11273-11282 - Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, Jaegul Choo:
Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks. 11283-11292 - Zirui Wang, Zihang Dai, Barnabás Póczos, Jaime G. Carbonell:
Characterizing and Avoiding Negative Transfer. 11293-11302 - Ritchie Zhao, Yuwei Hu, Jordan Dotzel, Christopher De Sa, Zhiru Zhang:
Building Efficient Deep Neural Networks With Unitary Group Convolutions. 11303-11312 - Bo Jiang, Ziyan Zhang, Doudou Lin, Jin Tang, Bin Luo:
Semi-Supervised Learning With Graph Learning-Convolutional Networks. 11313-11320 - Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi:
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. 11321-11329 - Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan:
AIRD: Adversarial Learning Framework for Image Repurposing Detection. 11330-11339 - Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh:
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. 11340-11349 - Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael W. Mahoney:
Trust Region Based Adversarial Attack on Neural Networks. 11350-11359 - Min-Cheol Sagong, Yong-Goo Shin, Seung-Wook Kim, Seung Park, Sung-Jea Ko:
PEPSI : Fast Image Inpainting With Parallel Decoding Network. 11360-11368 - Thibaud Ehret, Axel Davy, Jean-Michel Morel, Gabriele Facciolo, Pablo Arias:
Model-Blind Video Denoising via Frame-To-Frame Training. 11369-11378 - Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song:
End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization. 11379-11387 - Fengda Zhu, Linchao Zhu, Yi Yang:
Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation. 11388-11397 - Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha:
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation. 11398-11407 - Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu:
Regularizing Activation Distribution for Training Binarized Deep Networks. 11408-11417 - Wang Lin, Zhengfeng Yang, Xin Chen, Qingye Zhao, Xiangkun Li, Zhiming Liu, Jifeng He:
Robustness Verification of Classification Deep Neural Networks via Linear Programming. 11418-11427 - Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu:
Additive Adversarial Learning for Unbiased Authentication. 11428-11437 - Zhezhi He, Deliang Fan:
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation. 11438-11446 - Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su:
Adversarial Defense by Stratified Convolutional Sparse Coding. 11447-11456 - Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, Ting Yao:
Exploring Object Relation in Mean Teacher for Cross-Domain Detection. 11457-11466 - Bin Tong, Chao Wang, Martin Klinkigt, Yoshiyuki Kobayashi, Yuuichi Nonaka:
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning. 11467-11476 - Bin Zhu, Chong-Wah Ngo, Jingjing Chen, Yanbin Hao:
R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network. 11477-11486 - Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing:
Rethinking Knowledge Graph Propagation for Zero-Shot Learning. 11487-11496 - Linjun Zhou, Peng Cui, Shiqiang Yang, Wenwu Zhu, Qi Tian:
Learning to Learn Image Classifiers With Visual Analogy. 11497-11506 - Philippe Burlina, Neil Joshi, I-Jeng Wang:
Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection. 11507-11516 - Mengying Hu, Hu Han, Shiguang Shan, Xilin Chen:
Weakly Supervised Image Classification Through Noise Regularization. 11517-11525 - Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang:
Data-Driven Neuron Allocation for Scale Aggregation Networks. 11526-11534 - Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro:
Graphical Contrastive Losses for Scene Graph Parsing. 11535-11543 - Pramuditha Perera, Vishal M. Patel:
Deep Transfer Learning for Multiple Class Novelty Detection. 11544-11552 - Jiaxin Cheng, Yue Wu, Wael AbdAlmageed, Premkumar Natarajan:
QATM: Quality-Aware Template Matching for Deep Learning. 11553-11562 - Jake Zhao, Kyunghyun Cho:
Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples. 11563-11571 - Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi:
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images. 11572-11581 - Jonah Philion:
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network. 11582-11591 - Niluthpol Chowdhury Mithun, Sujoy Paul, Amit K. Roy-Chowdhury:
Weakly Supervised Video Moment Retrieval From Text Queries. 11592-11601 - Soumajit Majumder, Angela Yao:
Content-Aware Multi-Level Guidance for Interactive Instance Segmentation. 11602-11611 - Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter:
Greedy Structure Learning of Hierarchical Compositional Models. 11612-11621 - Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari:
Interactive Full Image Segmentation by Considering All Regions Jointly. 11622-11631 - Xu Chen, Bryan M. Williams, Srinivasa R. Vallabhaneni, Gabriela Czanner, Rachel Williams, Yalin Zheng:
Learning Active Contour Models for Medical Image Segmentation. 11632-11640 - Yiheng Zhang, Zhaofan Qiu, Jingen Liu, Ting Yao, Dong Liu, Tao Mei:
Customizable Architecture Search for Semantic Segmentation. 11641-11650 - Oriane Siméoni, Yannis Avrithis, Ondrej Chum:
Local Features and Visual Words Emerge in Activations. 11651-11660 - Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang:
Hyperspectral Image Super-Resolution With Optimized RGB Guidance. 11661-11670 - Yuval Atzmon, Gal Chechik:
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning. 11671-11680 - Wei-Ting Chen, Jian-Jiun Ding, Sy-Yen Kuo:
PMS-Net: Robust Haze Removal Based on Patch Map for Single Images. 11681-11689 - Sepehr Eghbali, Ladan Tahvildari:
Deep Spherical Quantization for Image Search. 11690-11699 - Rodrigo Benenson, Stefan Popov, Vittorio Ferrari:
Large-Scale Interactive Object Segmentation With Human Annotators. 11700-11709 - Yide Zhang, Yinhao Zhu, Evan L. Nichols, Qingfei Wang, Siyuan Zhang, Cody J. Smith, Scott S. Howard:
A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images. 11710-11718 - Muhammad Abdullah Jamal, Guo-Jun Qi:
Task Agnostic Meta-Learning for Few-Shot Learning. 11719-11727 - Meng Ye, Yuhong Guo:
Progressive Ensemble Networks for Zero-Shot Recognition. 11728-11736 - Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu:
Direct Object Recognition Without Line-Of-Sight Using Optical Coherence. 11737-11746 - Mahdi S. Hosseini, Lyndon Chan, Gabriel Tse, Michael Tang, Jun Deng, Sajad Norouzi, Corwyn Rowsell, Konstantinos N. Plataniotis, Savvas Damaskinos:
Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning. 11747-11756 - Thiago L. T. da Silveira, Cláudio R. Jung:
Perturbation Analysis of the 8-Point Algorithm: A Case Study for Wide FoV Cameras. 11757-11766 - Matthew Wicker, Marta Kwiatkowska:
Robustness of 3D Deep Learning in an Adversarial Setting. 11767-11775 - Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison:
SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations. 11776-11785 - Rohan Chabra, Julian Straub, Christopher Sweeney, Richard A. Newcombe, Henry Fuchs:
StereoDRNet: Dilated Residual StereoNet. 11786-11795 - Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li, Stephen Gould:
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation. 11796-11806 - Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid:
Learning Joint Reconstruction of Hands and Manipulated Objects. 11807-11816 - Manuel Lopez, Roger Marí, Pau Gargallo, Yubin Kuang, Javier González Jiménez, Gloria Haro:
Deep Single Image Camera Calibration With Radial Distortion. 11817-11825 - José M. Fácil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera:
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth. 11826-11835 - Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu:
Translate-to-Recognize Networks for RGB-D Scene Recognition. 11836-11845 - Jian Wang, Yunshan Zhong, Yachun Li, Chi Zhang, Yichen Wei:
Re-Identification Supervised Texture Generation. 11846-11856 - Quanzeng You, Hao Jiang:
Action4D: Online Action Recognition in the Crowd and Clutter. 11857-11866 - Jason Ku, Alex D. Pon, Steven L. Waslander:
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction. 11867-11876 - Yunfan Liu, Qi Li, Zhenan Sun:
Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks. 11877-11886 - Wei Hu, Yangyu Huang, Fan Zhang, Ruirui Li:
Noise-Tolerant Paradigm for Training Face Recognition CNNs. 11887-11896 - Jiayu Dong, Huicheng Zheng, Lina Lian:
Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition. 11897-11906 - Kang Wang, Rui Zhao, Hui Su, Qiang Ji:
Generalizing Eye Tracking With Bayesian Adversarial Learning. 11907-11916 - Xuesong Niu, Hu Han, Songfan Yang, Yan Huang, Shiguang Shan:
Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection. 11917-11926 - Shile Li, Dongheui Lee:
Point-To-Pose Voting Based Hand Pose Estimation Using Residual Permutation Equivariant Layer. 11927-11936 - Yu Yu, Gang Liu, Jean-Marc Odobez:
Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis. 11937-11946 - Hao Liu, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
AdaptiveFace: Adaptive Margin and Sampling for Face Recognition. 11947-11956 - Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang:
Disentangled Representation Learning for 3D Face Shape. 11957-11966 - Chun-Liang Li, Tomas Simon, Jason M. Saragih, Barnabás Póczos, Yaser Sheikh:
LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds. 11967-11976 - Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi:
PifPaf: Composite Fields for Human Pose Estimation. 11977-11986 - Lin Song, Shiwei Zhang, Gang Yu, Hongbin Sun:
TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection. 11987-11995 - Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh:
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. 11996-12004 - Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann:
Local Temporal Bilinear Pooling for Fine-Grained Action Parsing. 12005-12015 - Rui Su, Wanli Ouyang, Luping Zhou, Dong Xu:
Improving Action Localization by Progressive Cross-Stream Cooperation. 12016-12025 - Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition. 12026-12035 - Xuan Son Nguyen, Luc Brun, Olivier Lezoray, Sébastien Bougleux:
A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition. 12036-12045 - Deepti Ghadiyaram, Du Tran, Dhruv Mahajan:
Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition. 12046-12055 - Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xinmei Tian, Tao Mei:
Learning Spatio-Temporal Representation With Local and Global Diffusion. 12056-12065 - Anna Kukleva, Hilde Kuehne, Fadime Sener, Jürgen Gall:
Unsupervised Learning of Action Classes With Continuous Temporal Embedding. 12066-12074 - Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering. 12075-12084 - Pu Zhang, Wanli Ouyang, Pengfei Zhang, Jianru Xue, Nanning Zheng:
SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction. 12085-12094 - Yiran Zhong, Pan Ji, Jianyuan Wang, Yuchao Dai, Hongdong Li:
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes. 12095-12104 - Patrick Geneva, James Maley, Guoquan Huang:
An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM. 12105-12115 - Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II:
A Neural Temporal Model for Human Motion Prediction. 12116-12125 - Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris L. Baker, Yibiao Zhao, Yizhou Wang, Ying Nian Wu:
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction. 12126-12134 - Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor S. Lempitsky:
Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation. 12135-12144 - Simon Jenni, Paolo Favaro:
On Stabilizing Generative Adversarial Training With Noise. 12145-12153 - Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby:
Self-Supervised GANs via Auxiliary Rotation Loss. 12154-12163 - Ning Yu, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Michal Lukác:
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture. 12164-12173 - Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao:
Object-Driven Text-To-Image Synthesis via Adversarial Training. 12174-12182 - Liangzhe Yuan, Yibo Chen, Hantian Liu, Tao Kong, Jianbo Shi:
Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination. 12183-12191 - Zhilin Zheng, Li Sun:
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions. 12192-12201 - Yuanyuan Zhao, Xuemei Hu, Hui Guo, Zhan Ma, Tao Yue, Xun Cao:
Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager. 12202-12211 - Simone Bianco, Claudio Cusano:
Quasi-Unsupervised Color Constancy. 12212-12221 - Junyong Lee, Sungkil Lee, Sunghyun Cho, Seungyong Lee:
Deep Defocus Map Estimation Using Domain Adaptation. 12222-12230 - Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell:
Using Unknown Occluders to Recover Hidden Scenes. 12231-12239 - Anurag Ranjan, Varun Jampani, Lukas Balles, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black:
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation. 12240-12249 - Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jun-Gang Yang, Wei An, Yulan Guo:
Learning Parallax Attention for Stereo Image Super-Resolution. 12250-12259 - Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli:
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications. 12260-12269 - Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, Rynson W. H. Lau:
Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset. 12270-12279 - Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza:
Focus Is All You Need: Loss Functions for Event-Based Vision. 12280-12289 - Wuzhen Shi, Feng Jiang, Shaohui Liu, Debin Zhao:
Scalable Convolutional Neural Network for Image Compressed Sensing. 12290-12299 - Timo Stoffregen, Lindsay Kleeman:
Event Cameras, Contrast Maximization and Reward Functions: An Analysis. 12300-12308 - Alexander Gómez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío:
Convolutional Neural Networks Can Be Deceived by Visual Illusions. 12309-12317 - Anthony J. Yezzi, Ganesh Sundaramoorthi, Minas Benyamin:
PDE Acceleration for Active Contours. 12318-12328 - Jun-Sang Yoo, Jong-Ok Kim:
Dichromatic Model Based Temporal Color Constancy for AC Light Sources. 12329-12338 - Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, Kwanghoon Sohn:
Semantic Attribute Matching Networks. 12339-12348 - Takeshi Uemori, Atsushi Ito, Yusuke Moriuchi, Alexander Gatto, Jun Murayama:
Skin-Based Identification From Multispectral Image Data Using CNNs. 12349-12358 - Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka:
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks. 12359-12367 - Xueting Li, Sifei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz:
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments. 12368-12376 - Chih-Hui Ho, Pedro Morgado, Amir Persekian, Nuno Vasconcelos:
PIEs: Pose Invariant Embeddings. 12377-12386 - Kshitij Dwivedi, Gemma Roig:
Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning. 12387-12396 - Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan, Ling Shao:
Object Counting and Instance Segmentation With Image-Level Supervision. 12397-12405 - Michal Rolínek, Dominik Zietlow, Georg Martius:
Variational Autoencoders Pursue PCA Directions (by Accident). 12406-12415 - Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu:
A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes. 12416-12425 - Suhas Lohit, Qiao Wang, Pavan K. Turaga:
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping. 12426-12435 - Wenxiao Zhang, Chunxia Xiao:
PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval. 12436-12445 - Saif Muhammad Imran, Yunfei Long, Xiaoming Liu, Daniel Morris:
Depth Coefficients for Depth Completion. 12446-12455 - Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim:
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. 12456-12465 - Ali Furkan Biten, Lluís Gómez, Marçal Rusiñol, Dimosthenis Karatzas:
Good News, Everyone! Context Driven Entity-Aware Captioning for News Images. 12466-12475 - Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang:
Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding. 12476-12486 - Nayyer Aafaq, Naveed Akhtar, Wei Liu, Syed Zulqarnain Gilani, Ajmal Mian:
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning. 12487-12496 - Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei:
Pointing Novel Objects in Image Captioning. 12497-12506 - Lior Bracha, Gal Chechik:
Informative Object Annotations: Tell Me Something I Don't Know. 12507-12515 - Kurt Shuster, Samuel Humeau, Hexiang Hu, Antoine Bordes, Jason Weston:
Engaging Image Captioning via Personality. 12516-12526 - Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan:
Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention. 12527-12537 - Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, Yoav Artzi:
TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. 12538-12547 - Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
A Simple Baseline for Audio-Visual Scene-Aware Dialog. 12548-12558 - Lorenzo Cerrone, Alexander Zeilmann, Fred A. Hamprecht:
End-To-End Learned Random Walker for Seeded Image Segmentation. 12559-12568 - Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung:
Efficient Neural Network Compression. 12569-12577 - Fandong Zhang, Ling Luo, Xinwei Sun, Zhen Zhou, Xiuli Li, Yizhou Yu, Yizhou Wang:
Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms. 12578-12586 - Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu:
C3AE: Exploring the Limits of Compact Model for Age Estimation. 12587-12596 - Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise:
Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology. 12597-12606 - Marin Orsic, Ivan Kreso, Petra Bevandic, Sinisa Segvic:
In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images. 12607-12616 - Guillem Cucurull, Perouz Taslakian, David Vázquez:
Context-Aware Visual Compatibility Prediction. 12617-12626 - Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis:
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks. 12627-12637 - Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, Shaohua Kevin Zhou:
Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation. 12638-12647 - Feigege Wang, Yue Gu, Wenxi Liu, Yuanlong Yu, Shengfeng He, Jia Pan:
Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation. 12648-12657 - George Retsinas, Georgios Louloudis, Nikolaos Stamatopoulos, Giorgos Sfikas, Basilis Gatos:
An Alternative Deep Feature Approach to Line Level Keyword Spotting. 12658-12666 - Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellström:
Dynamics Are Important for the Recognition of Equine Pain in Video. 12667-12676 - Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington:
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. 12677-12686 - Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang:
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds. 12687-12696 - Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom:
PointPillars: Fast Encoders for Object Detection From Point Clouds. 12697-12705 - Kun Huang, Yifu Wang, Laurent Kneip:
Motion Estimation of Non-Holonomic Ground Vehicles From a Single Feature Correspondence Measured Over N Views. 12706-12715 - Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart, Marcin Dymczyk:
From Coarse to Fine: Robust Hierarchical Localization at Large Scale. 12716-12725 - Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic:
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data. 12726-12735 - Muming Zhao, Jian Zhang, Chongyang Zhang, Wenjun Zhang:
Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting. 12736-12745
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