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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