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CVPR 2018: Salt Lake City, UT, USA
- 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018. Computer Vision Foundation / IEEE Computer Society 2018
Papers
- Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra:
Embodied Question Answering. 1-10 - Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten:
Learning by Asking Questions. 11-20 - Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem
:
Finding Tiny Faces in the Wild With Generative Adversarial Network. 21-30 - Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain:
Learning Face Age Progression: A Pyramid Architecture of GANs. 31-39 - Huiwen Chang, Jingwan Lu, Fisher Yu, Adam Finkelstein:
PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup. 40-48 - Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas
GANerated Hands for Real-Time 3D Hand Tracking From Monocular RGB. 49-59 - Georg Poier, David Schinagl, Horst Bischof:
Learning Pose Specific Representations by Predicting Different Views. 60-69 - Haoshu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer. 70-78 - Longhui Wei, Shiliang Zhang, Wen Gao, Qi Tian:
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification. 79-88 - Adrian Spurr, Jie Song, Seonwook Park
Cross-Modal Deep Variational Hand Pose Estimation. 89-98 - Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele
Disentangled Person Image Generation. 99-108 - Adrian Bulat
Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses With GANs. 109-117 - Chenyang Si, Wei Wang, Liang Wang, Tieniu Tan:
Multistage Adversarial Losses for Pose-Based Human Image Synthesis. 118-126 - Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin:
Rotation Averaging and Strong Duality. 127-135 - Federico Camposeco, Andrea Cohen, Marc Pollefeys
Hybrid Camera Pose Estimation. 136-144 - Jesus Briales, Laurent Kneip, Javier González Jiménez:
A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem. 145-154 - Yue Luo, Jimmy S. J. Ren
Single View Stereo Matching. 155-163 - Bjoern Haefner, Yvain Quéau, Thomas Möllenhoff
Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading. 164-174 - Yinda Zhang, Thomas A. Funkhouser:
Deep Depth Completion of a Single RGB-D Image. 175-185 - Tan Yu, Jingjing Meng, Junsong Yuan:
Multi-View Harmonized Bilinear Network for 3D Object Recognition. 186-194 - Haowen Deng, Tolga Birdal
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching. 195-205 - Yaoqing Yang, Chen Feng
FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation. 206-215 - Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
A Papier-Mâché Approach to Learning 3D Surface Generation. 216-224 - Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia:
LEGO: Learning Edge With Geometry All at Once by Watching Videos. 225-234 - Daniel Barath:
Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras. 235-243 - Danfei Xu, Dragomir Anguelov, Ashesh Jain:
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation. 244-253 - Suryansh Kumar
Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective. 254-263 - Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, Yue Gao:
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition. 264-272 - Qilin Sun
Depth and Transient Imaging With Compressive SPAD Array Cameras. 273-282 - Xiaojuan Qi, Renjie Liao, Zhengzhe Liu, Raquel Urtasun, Jiaya Jia:
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation. 283-291 - Bugra Tekin, Sudipta N. Sinha, Pascal Fua:
Real-Time Seamless Single Shot 6D Object Pose Prediction. 292-301 - Shubham Tulsiani, Saurabh Gupta, David F. Fouhey, Alexei A. Efros, Jitendra Malik:
Factoring Shape, Pose, and Layout From the 2D Image of a 3D Scene. 302-310 - Ke Xian
Monocular Relative Depth Perception With Web Stereo Data Supervision. 311-320 - Hannes Ovrén
Spline Error Weighting for Robust Visual-Inertial Fusion. 321-329 - Jaehan Lee, Minhyeok Heo, Kyung-Rae Kim, Chang-Su Kim
Single-Image Depth Estimation Based on Fourier Domain Analysis. 330-339 - Huangying Zhan, Ravi Garg
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction. 340-349 - Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran:
Detect-and-Track: Efficient Pose Estimation in Videos. 350-359 - Xuanyi Dong, Shoou-I Yu, Xinshuo Weng, Shih-En Wei, Yi Yang, Yaser Sheikh:
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors. 360-368 - Shuang Li, Slawomir Bak, Peter Carr, Xiaogang Wang
Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-Identification. 369-378 - Xuanyi Dong, Yan Yan, Wanli Ouyang
Style Aggregated Network for Facial Landmark Detection. 379-388 - Yaojie Liu, Amin Jourabloo, Xiaoming Liu:
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision. 389-398 - Kai Li, Junliang Xing, Chi Su, Weiming Hu, Yundong Zhang, Stephen J. Maybank:
Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation. 399-408 - Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim
First-Person Hand Action Benchmark With RGB-D Videos and 3D Hand Pose Annotations. 409-419 - M. Saquib Sarfraz, Arne Schumann, Andreas Eberle, Rainer Stiefelhagen:
A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking. 420-429 - Amit Kumar, Rama Chellappa:
Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment. 430-439 - Kang Wang, Rui Zhao, Qiang Ji:
A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation. 440-448 - Yizhou Zhou, Xiaoyan Sun, Zheng-Jun Zha
MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition. 449-458 - Georgios Pavlakos, Luyang Zhu, Xiaowei Zhou, Kostas Daniilidis:
Learning to Estimate 3D Human Pose and Shape From a Single Color Image. 459-468 - Fabien Baradel, Christian Wolf, Julien Mille, Graham W. Taylor:
Glimpse Clouds: Human Activity Recognition From Unstructured Feature Points. 469-478 - Jongwon Choi, Hyung Jin Chang
Context-Aware Deep Feature Compression for High-Speed Visual Tracking. 479-488 - Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang:
Correlation Tracking via Joint Discrimination and Reliability Learning. 489-497 - Simone Meyer, Abdelaziz Djelouah, Brian McWilliams, Alexander Sorkine-Hornung, Markus H. Gross
PhaseNet for Video Frame Interpolation. 498-507 - Pia Bideau
The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation. 508-517 - Xingping Dong
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning. 518-527 - Peng Zhou, Bingbing Ni, Cong Geng, Jianguo Hu, Yi Xu:
Scale-Transferrable Object Detection. 528-537 - Chung-Ching Lin, Ying Hung:
A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos. 538-547 - Zheng Zhu, Wei Wu, Wei Zou, Junjie Yan:
End-to-End Flow Correlation Tracking With Spatial-Temporal Attention. 548-557 - Jia Xue, Hang Zhang, Kristin J. Dana:
Deep Texture Manifold for Ground Terrain Recognition. 558-567 - Wei-Chih Tu, Ming-Yu Liu, Varun Jampani, Deqing Sun, Shao-Yi Chien, Ming-Hsuan Yang, Jan Kautz:
Learning Superpixels With Segmentation-Aware Affinity Loss. 568-576 - Zhuwen Li, Qifeng Chen, Vladlen Koltun:
Interactive Image Segmentation With Latent Diversity. 577-585 - Richard Zhang, Phillip Isola, Alexei A. Efros
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. 586-595 - Kun He, Yan Lu, Stan Sclaroff:
Local Descriptors Optimized for Average Precision. 596-605 - Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy
Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform. 606-615 - Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, Luc Van Gool:
Deep Extreme Cut: From Extreme Points to Object Segmentation. 616-625 - Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma:
Learning to Parse Wireframes in Images of Man-Made Environments. 626-635 - Subeesh Vasu
Occlusion-Aware Rolling Shutter Rectification of 3D Scenes. 636-645 - Ran Yi
Content-Sensitive Supervoxels via Uniform Tessellations on Video Manifolds. 646-655 - Lechao Cheng
Intrinsic Image Transformation via Scale Space Decomposition. 656-665 - Naeemullah Khan
Learned Shape-Tailored Descriptors for Segmentation. 666-674 - Dan Xu, Wanli Ouyang
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing. 675-684 - Qianqian Wang, Xiaowei Zhou, Kostas Daniilidis:
Multi-Image Semantic Matching by Mining Consistent Features. 685-694 - He Zhang, Vishal M. Patel:
Density-Aware Single Image De-Raining Using a Multi-Stream Dense Network. 695-704 - Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li:
Joint Cuts and Matching of Partitions in One Graph. 705-713 - Xiaoning Zhang, Tiantian Wang, Jinqing Qi, Huchuan Lu, Gang Wang:
Progressive Attention Guided Recurrent Network for Salient Object Detection. 714-722 - Zheng Hui
Fast and Accurate Single Image Super-Resolution via Information Distillation Network. 723-731 - Kwan-Yee Lin, Guanxiang Wang:
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning. 732-741 - Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg
NAG: Network for Adversary Generation. 742-751 - Xiaodan Liang, Hongfei Zhou, Eric P. Xing:
Dynamic-Structured Semantic Propagation Network. 752-761 - Zhongzheng Ren, Yong Jae Lee:
Cross-Domain Self-Supervised Multi-Task Feature Learning Using Synthetic Imagery. 762-771 - Naama Hadad, Lior Wolf, Moni Shahar:
A Two-Step Disentanglement Method. 772-780 - Daniel Merget, Matthias Rock, Gerhard Rigoll:
Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network. 781-790 - Lei Huang, Dawei Yang, Bo Lang, Jia Deng:
Decorrelated Batch Normalization. 791-800 - Jifei Song, Kaiyue Pang, Yi-Zhe Song
Learning to Sketch With Shortcut Cycle Consistency. 801-810 - Hao Shen:
Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks. 811-820 - Yujun Shen, Ping Luo, Junjie Yan, Xiaogang Wang
FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis. 821-830 - Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh
A Constrained Deep Neural Network for Ordinal Regression. 831-839 - Xiaodi Wang, Baochang Zhang, Ce Li, Rongrong Ji, Jungong Han, Xianbin Cao, Jianzhuang Liu:
Modulated Convolutional Networks. 840-848 - Maurice Weiler, Fred A. Hamprecht, Martin Storath
Learning Steerable Filters for Rotation Equivariant CNNs. 849-858 - David Acuna, Huan Ling, Amlan Kar, Sanja Fidler:
Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++. 859-868 - Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller:
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels. 869-877 - Jean Kossaifi
GAGAN: Geometry-Aware Generative Adversarial Networks. 878-887 - Anurag Arnab, Ondrej Miksik, Philip H. S. Torr:
On the Robustness of Semantic Segmentation Models to Adversarial Attacks. 888-897 - Tianlu Wang, Kota Yamaguchi
Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence. 898-907 - Xin Yu
Super-Resolving Very Low-Resolution Face Images With Supplementary Attributes. 908-917 - Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas:
Frustum PointNets for 3D Object Detection From RGB-D Data. 918-927 - Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem
W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection. 928-936 - Zhile Ren, Erik B. Sudderth
3D Object Detection With Latent Support Surfaces. 937-946 - Peihua Li, Jiangtao Xie
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. 947-955 - Shu Kong
Recurrent Scene Parsing With Perspective Understanding in the Loop. 956-965 - Junhyug Noh
Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors. 966-974 - Ching-Yao Chuang, Jiaman Li, Antonio Torralba, Sanja Fidler:
Learning to Act Properly: Predicting and Explaining Affordances From Images. 975-983 - Binh-Son Hua, Minh-Khoi Tran, Sai-Kit Yeung:
Pointwise Convolutional Neural Networks. 984-993 - Weijian Deng, Liang Zheng
Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification. 994-1003 - Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal
A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. 1004-1013 - Seong Jae Hwang
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. 1014-1023 - Jie Song
Transductive Unbiased Embedding for Zero-Shot Learning. 1024-1033 - Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee:
Hierarchical Novelty Detection for Visual Object Recognition. 1034-1042 - Long Chen
Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks. 1043-1052 - Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis:
Learning Rich Features for Image Manipulation Detection. 1053-1061 - Mahdi M. Kalayeh, Emrah Basaran, Muhittin Gökmen, Mustafa E. Kamasak, Mubarak Shah
Human Semantic Parsing for Person Re-Identification. 1062-1071 - Haoqi Fan, Jiatong Zhou:
Stacked Latent Attention for Multimodal Reasoning. 1072-1080 - Bharat Singh, Hengduo Li, Abhishek Sharma, Larry S. Davis:
R-FCN-3000 at 30fps: Decoupling Detection and Classification. 1081-1090 - Yuhong Li, Xiaofan Zhang, Deming Chen:
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes. 1091-1100 - Jasper R. R. Uijlings, Stefan Popov, Vittorio Ferrari:
Revisiting Knowledge Transfer for Training Object Class Detectors. 1101-1110 - Edward Kim, Darryl Hannan, Garrett T. Kenyon:
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons. 1111-1120 - Thibaud Ehret, Pablo Arias:
On the Convergence of PatchMatch and Its Variants. 1121-1129 - Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar:
Rethinking the Faster R-CNN Architecture for Temporal Action Localization. 1130-1139 - Huaxin Xiao, Jiashi Feng, Guosheng Lin
MoNet: Deep Motion Exploitation for Video Object Segmentation. 1140-1148 - Jue Wang, Anoop Cherian, Fatih Porikli, Stephen Gould:
Video Representation Learning Using Discriminative Pooling. 1149-1158 - Mengyuan Liu, Junsong Yuan:
Recognizing Human Actions as the Evolution of Pose Estimation Maps. 1159-1168 - Dapeng Chen, Hongsheng Li
Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding. 1169-1178 - Chunfeng Song, Yan Huang, Wanli Ouyang
Mask-Guided Contrastive Attention Model for Person Re-Identification. 1179-1188 - Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, Luc Van Gool:
Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning. 1189-1198 - Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales:
Learning to Compare: Relation Network for Few-Shot Learning. 1199-1208 - Holger Caesar, Jasper R. R. Uijlings, Vittorio Ferrari:
COCO-Stuff: Thing and Stuff Classes in Context. 1209-1218 - Justin Johnson, Agrim Gupta, Li Fei-Fei:
Image Generation From Scene Graphs. 1219-1228 - Yue Cao, Mingsheng Long
Deep Cauchy Hashing for Hamming Space Retrieval. 1229-1237 - Dinesh Jayaraman, Kristen Grauman:
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks. 1238-1247 - Hao Wang
Multi-Scale Location-Aware Kernel Representation for Object Detection. 1248-1257 - Jufeng Yang, Xiaoxiao Sun
Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria. 1258-1266 - Steven Chen, Kristen Grauman:
Compare and Contrast: Learning Prominent Visual Differences. 1267-1276 - Weifeng Ge, Sibei Yang
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning. 1277-1286 - Yue Cao, Bin Liu
HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN. 1287-1296 - Fang Wan, Pengxu Wei, Jianbin Jiao, Zhenjun Han, Qixiang Ye:
Min-Entropy Latent Model for Weakly Supervised Object Detection. 1297-1306 - Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg:
MAttNet: Modular Attention Network for Referring Expression Comprehension. 1307-1315 - Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He:
AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks. 1316-1324 - Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, Thomas S. Huang:
Adversarial Complementary Learning for Weakly Supervised Object Localization. 1325-1334 - Weixiang Hong, Zhenzhen Wang, Ming Yang
Conditional Generative Adversarial Network for Structured Domain Adaptation. 1335-1344 - Fuhai Chen, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Jinsong Su:
GroupCap: Group-Based Image Captioning With Structured Relevance and Diversity Constraints. 1345-1353 - Xiang Wang, Shaodi You, Xi Li, Huimin Ma:
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features. 1354-1362 - Tong Shen, Guosheng Lin
Bootstrapping the Performance of Webly Supervised Semantic Segmentation. 1363-1371 - Zhishuai Zhang, Cihang Xie
DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion. 1372-1380 - Fangfang Wang
Geometry-Aware Scene Text Detection With Instance Transformation Network. 1381-1389 - Shuyang Sun, Zhanghui Kuang, Lu Sheng
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition. 1390-1399 - Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan:
Motion-Guided Cascaded Refinement Network for Video Object Segmentation. 1400-1409 - Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim:
A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos. 1410-1419 - Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, Min Sun:
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos. 1420-1429 - Limin Wang, Wei Li, Wen Li, Luc Van Gool:
Appearance-and-Relation Networks for Video Classification. 1430-1439 - Sarah Adel Bargal, Andrea Zunino, Donghyun Kim
Excitation Backprop for RNNs. 1440-1449 - Hongtao Yang, Xuming He, Fatih Porikli:
One-Shot Action Localization by Learning Sequence Matching Network. 1450-1459 - Jingwei Xu, Bingbing Ni, Zefan Li, Shuo Cheng, Xiaokang Yang:
Structure Preserving Video Prediction. 1460-1469 - Yicheng Wang, Zhenzhong Chen, Feng Wu, Gang Wang:
Person Re-Identification With Cascaded Pairwise Convolutions. 1470-1478 - Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma, Frédo Durand:
On the Importance of Label Quality for Semantic Segmentation. 1479-1487 - Xiaobin Chang, Tao Xiang, Timothy M. Hospedales:
Scalable and Effective Deep CCA via Soft Decorrelation. 1488-1497 - Lanqing Hu, Meina Kan, Shiguang Shan
Duplex Generative Adversarial Network for Unsupervised Domain Adaptation. 1498-1507 - Fan Bai, Zhanzhan Cheng, Yi Niu, Shiliang Pu, Shuigeng Zhou:
Edit Probability for Scene Text Recognition. 1508-1516 - Guo-Jun Qi
Global Versus Localized Generative Adversarial Nets. 1517-1525 - Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, Jan Kautz:
MoCoGAN: Decomposing Motion and Content for Video Generation. 1526-1535 - Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang
Recurrent Residual Module for Fast Inference in Videos. 1536-1545 - Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher J. Pal, Jan Kautz:
Improving Landmark Localization With Semi-Supervised Learning. 1546-1555 - Arghya Pal, Vineeth N. Balasubramanian
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data. 1556-1565 - Tobias Plötz, Anne S. Wannenwetsch, Stefan Roth:
Stochastic Variational Inference With Gradient Linearization. 1566-1575 - Chung-Wei Lee, Wei Fang
Multi-Label Zero-Shot Learning With Structured Knowledge Graphs. 1576-1585 - Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi
MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. 1586-1595 - Pan Zhou
Deep Adversarial Subspace Clustering. 1596-1604 - Keze Wang
Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection. 1605-1613 - Emanuel Laude, Jan-Hendrik Lange, Jonas Schüpfer, Csaba Domokos, Laura Leal-Taixé, Frank R. Schmidt, Bjoern Andres, Daniel Cremers
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs. 1614-1624 - Kevin Eykholt
Robust Physical-World Attacks on Deep Learning Visual Classification. 1625-1634 - Donggyu Joo, Doyeon Kim, Junmo Kim:
Generating a Fusion Image: One's Identity and Another's Shape. 1635-1643 - Yu Zeng, Huchuan Lu, Lihe Zhang, Mengyang Feng, Ali Borji:
Learning to Promote Saliency Detectors. 1644-1653 - Wei Han, Shiyu Chang, Ding Liu
Image Super-Resolution via Dual-State Recurrent Networks. 1654-1663 - Muhammad Haris
Deep Back-Projection Networks for Super-Resolution. 1664-1673 - Can Chen, Scott McCloskey, Jingyi Yu:
Focus Manipulation Detection via Photometric Histogram Analysis. 1674-1682 - Nathan D. Cahill
Compassionately Conservative Balanced Cuts for Image Segmentation. 1683-1691 - Abdelrahman Abdelhamed
A High-Quality Denoising Dataset for Smartphone Cameras. 1692-1700 - Simon Niklaus, Feng Liu:
Context-Aware Synthesis for Video Frame Interpolation. 1701-1710 - Wenguan Wang
Salient Object Detection Driven by Fixation Prediction. 1711-1720 - Daniel S. Jeon, Seung-Hwan Baek
Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior. 1721-1730 - Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, Ryad Benosman:
HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification. 1731-1740 - Lu Zhang, Ju Dai
A Bi-Directional Message Passing Model for Salient Object Detection. 1741-1750 - Rotal Kat, Roy Josef Jevnisek, Shai Avidan:
Matching Pixels Using Co-Occurrence Statistics. 1751-1759 - Gwangmo Song, Heesoo Myeong, Kyoung Mu Lee:
SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation. 1760-1768 - Shoichiro Takeda, Kazuki Okami, Dan Mikami, Megumi Isogai, Hideaki Kimata:
Jerk-Aware Video Acceleration Magnification. 1769-1777 - Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. 1778-1787 - Jifeng Wang, Xiang Li, Jian Yang:
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal. 1788-1797 - Xin Yang, Ke Xu
Image Correction via Deep Reciprocating HDR Transformation. 1798-1807 - Ekta Prashnani, Hong Cai, Yasamin Mostofi, Pradeep Sen
PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference. 1808-1817 - Meng Tang, Abdelaziz Djelouah, Federico Perazzi, Yuri Boykov, Christopher Schroers:
Normalized Cut Loss for Weakly-Supervised CNN Segmentation. 1818-1827 - Jian Zhang, Bernard Ghanem
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing. 1828-1837 - Huikai Wu, Shuai Zheng
Fast End-to-End Trainable Guided Filter. 1838-1847 - Andrew Gilbert, John P. Collomosse, Hailin Jin, Brian L. Price:
Disentangling Structure and Aesthetics for Style-Aware Image Completion. 1848-1856 - Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu
Learning a Discriminative Feature Network for Semantic Segmentation. 1857-1866 - Xing Wei, Yue Zhang, Yihong Gong, Nanning Zheng:
Kernelized Subspace Pooling for Deep Local Descriptors. 1867-1875 - Je Hyeong Hong
pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment. 1876-1885 - Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia:
Deformable Shape Completion With Graph Convolutional Autoencoders. 1886-1895 - Syed Zulqarnain Gilani
Learning From Millions of 3D Scans for Large-Scale 3D Face Recognition. 1896-1905 - N. Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan
CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles. 1906-1915 - Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan
Deep Material-Aware Cross-Spectral Stereo Matching. 1916-1925 - True Price, Johannes L. Schönberger, Zhen Wei, Marc Pollefeys
Augmenting Crowd-Sourced 3D Reconstructions Using Semantic Detections. 1926-1935 - Stephan R. Richter, Stefan Roth:
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers. 1936-1944 - Xinwei He, Yang Zhou, Zhichao Zhou, Song Bai, Xiang Bai:
Triplet-Center Loss for Multi-View 3D Object Retrieval. 1945-1954 - David Stutz, Andreas Geiger:
Learning 3D Shape Completion From Laser Scan Data With Weak Supervision. 1955-1964 - Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, Jan Ernst, Jana Kosecká:
End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching. 1965-1973 - Haomin Liu
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM. 1974-1982 - Zhichao Yin, Jianping Shi:
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose. 1983-1992 - James Pritts
Radially-Distorted Conjugate Translations. 1993-2001 - Huan Fu
Deep Ordinal Regression Network for Monocular Depth Estimation. 2002-2011 - Pedro Miraldo, Francisco Eiras, Srikumar Ramalingam:
Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras. 2012-2021 - Chaoyang Wang, José Miguel Buenaposada
Learning Depth From Monocular Videos Using Direct Methods. 2022-2030 - Shizheng Wang, Wenjuan Liao, Phil Surman, Zhigang Tu
Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display. 2031-2040 - Zhengqi Li, Noah Snavely:
MegaDepth: Learning Single-View Depth Prediction From Internet Photos. 2041-2050 - Chuhang Zou, Alex Colburn
LayoutNet: Reconstructing the 3D Room Layout From a Single RGB Image. 2051-2059 - Konstantinos Batsos, Changjiang Cai
CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation. 2060-2069 - Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy S. J. Ren
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains. 2070-2079 - Yu Liu, Fangyin Wei, Jing Shao, Lu Sheng
Exploring Disentangled Feature Representation Beyond Face Identification. 2080-2089 - Kaili Zhao, Wen-Sheng Chu, Aleix M. Martínez:
Learning Facial Action Units From Web Images With Scalable Weakly Supervised Clustering. 2090-2099 - Xuecheng Nie, Jiashi Feng, Yiming Zuo
Human Pose Estimation With Parsing Induced Learner. 2100-2108 - Xiaobin Chang, Timothy M. Hospedales, Tao Xiang:
Multi-Level Factorisation Net for Person Re-Identification. 2109-2118 - Jing Xu, Rui Zhao, Feng Zhu, Huaming Wang, Wanli Ouyang
Attention-Aware Compositional Network for Person Re-Identification. 2119-2128 - Wayne Wu, Chen Qian, Shuo Yang, Quan Wang, Yici Cai, Qiang Zhou:
Look at Boundary: A Boundary-Aware Face Alignment Algorithm. 2129-2138 - Kuan Fang, Te-Lin Wu, Daniel Yang
Demo2Vec: Reasoning Object Affordances From Online Videos. 2139-2147 - Andrei Zanfir, Elisabeta Marinoiu, Cristian Sminchisescu:
Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes - The Importance of Multiple Scene Constraints. 2148-2157 - Elisabeta Marinoiu, Mihai Zanfir, Vlad Olaru, Cristian Sminchisescu:
3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children With Autism. 2158-2167 - Huiyuan Yang, Umur A. Ciftci, Lijun Yin:
Facial Expression Recognition by De-Expression Residue Learning. 2168-2177 - Yuanlu Xu
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects. 2178-2187 - Guozhu Peng, Shangfei Wang:
Weakly Supervised Facial Action Unit Recognition Through Adversarial Training. 2188-2196 - Anoop Cherian, Suvrit Sra, Stephen Gould, Richard Hartley:
Non-Linear Temporal Subspace Representations for Activity Recognition. 2197-2206 - Jian Zhao, Yu Cheng, Yan Xu, Lin Xiong, Jianshu Li, Fang Zhao, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng:
Towards Pose Invariant Face Recognition in the Wild. 2207-2216 - Qingqiu Huang, Yu Xiong, Dahua Lin
Unifying Identification and Context Learning for Person Recognition. 2217-2225 - Xi Peng, Zhiqiang Tang, Fei Yang, Rogério Schmidt Feris, Dimitris N. Metaxas:
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation. 2226-2234 - Zhen-Hua Feng, Josef Kittler, Muhammad Awais, Patrik Huber
Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks. 2235-2245 - Taiping Yao, Minsi Wang, Bingbing Ni, Huawei Wei, Xiaokang Yang:
Multiple Granularity Group Interaction Prediction. 2246-2254 - Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi
Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks. 2255-2264 - Yantao Shen, Hongsheng Li
Deep Group-Shuffling Random Walk for Person Re-Identification. 2265-2274 - Jingya Wang, Xiatian Zhu, Shaogang Gong, Wei Li
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification. 2275-2284 - Wei Li
Harmonious Attention Network for Person Re-Identification. 2285-2294 - Xuepeng Shi, Shiguang Shan
Real-Time Rotation-Invariant Face Detection With Progressive Calibration Networks. 2295-2303 - Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang
Deep Regression Forests for Age Estimation. 2304-2313 - Yong Zhang, Weiming Dong, Bao-Gang Hu
Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation. 2314-2323 - Federico Pernici
Memory Based Online Learning of Deep Representations From Video Streams. 2324-2334 - Yiluan Guo, Ngai-Man Cheung:
Efficient and Deep Person Re-Identification Using Multi-Level Similarity. 2335-2344 - Bin Xu
Multi-Level Fusion Based 3D Object Detection From Monocular Images. 2345-2353 - Yannick Hold-Geoffroy, Kalyan Sunkavalli, Jonathan Eisenmann, Matthew Fisher, Emiliano Gambaretto, Sunil Hadap, Jean-François Lalonde
A Perceptual Measure for Deep Single Image Camera Calibration. 2354-2363 - Wei Xiong
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks. 2364-2373 - Netanel Kligler, Sagi Katz, Ayellet Tal:
Document Enhancement Using Visibility Detection. 2374-2382 - Michel Melo Silva
A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos. 2383-2392 - Henghui Ding
Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation. 2393-2402 - Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell:
Deep Layer Aggregation. 2403-2412 - Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin:
Convolutional Neural Networks With Alternately Updated Clique. 2413-2422 - Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu:
Practical Block-Wise Neural Network Architecture Generation. 2423-2432 - Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli:
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration. 2433-2442 - Ke Yu, Chao Dong, Liang Lin, Chen Change Loy:
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning. 2443-2452 - Tamar Rott Shaham, Tomer Michaeli:
Deformation Aware Image Compression. 2453-2462 - Nan Hu, Qixing Huang, Boris Thibert, Leonidas J. Guibas:
Distributable Consistent Multi-Object Matching. 2463-2471 - Yulun Zhang
Residual Dense Network for Image Super-Resolution. 2472-2481 - Rui Qian, Robby T. Tan, Wenhan Yang, Jiajun Su, Jiaying Liu
Attentive Generative Adversarial Network for Raindrop Removal From a Single Image. 2482-2491 - Yu Chen, Ying Tai
FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors. 2492-2501 - Ben Mildenhall, Jonathan T. Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, Robert Carroll:
Burst Denoising With Kernel Prediction Networks. 2502-2510 - Ying Qu, Hairong Qi, Chiman Kwan
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution. 2511-2520 - Jiawei Zhang, Jinshan Pan, Jimmy S. J. Ren
Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks. 2521-2529 - Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis
SPLATNet: Sparse Lattice Networks for Point Cloud Processing. 2530-2539 - Ilya Kostrikov, Zhongshi Jiang, Daniele Panozzo, Denis Zorin, Joan Bruna:
Surface Networks. 2540-2548 - Ayush Tewari, Michael Zollhöfer, Pablo Garrido, Florian Bernard, Hyeongwoo Kim, Patrick Pérez, Christian Theobalt
Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz. 2549-2559 - Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison:
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. 2560-2568 - Weiyue Wang, Ronald Yu, Qiangui Huang, Ulrich Neumann:
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation. 2569-2578 - Chen Liu, Jimei Yang, Duygu Ceylan, Ersin Yumer, Yasutaka Furukawa:
PlaneNet: Piece-Wise Planar Reconstruction From a Single RGB Image. 2579-2588 - Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun:
Deep Parametric Continuous Convolutional Neural Networks. 2589-2597 - Nitika Verma, Edmond Boyer, Jakob Verbeek:
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis. 2598-2606 - Antonio Agudo, Melcior Pijoan, Francesc Moreno-Noguer:
Image Collection Pop-Up: 3D Reconstruction and Clustering of Rigid and Non-Rigid Categories. 2607-2615 - Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim, James Hays, Jan Kautz:
Geometry-Aware Learning of Maps for Camera Localization. 2616-2625 - Qiangui Huang, Weiyue Wang, Ulrich Neumann:
Recurrent Slice Networks for 3D Segmentation of Point Clouds. 2626-2635 - Shanxin Yuan, Guillermo Garcia-Hernando, Björn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals. 2636-2645 - Miroslava Slavcheva, Maximilian Baust, Slobodan Ilic
SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-Rigid Motion. 2646-2655 - Jogendra Nath Kundu, Phani Krishna Uppala, Anuj Pahuja, R. Venkatesh Babu
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation. 2656-2665 - Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua:
Learning to Find Good Correspondences. 2666-2674 - Simon Korman, Mark Milam, Stefano Soatto:
OATM: Occlusion Aware Template Matching by Consensus Set Maximization. 2675-2683 - Andrei Zanfir, Cristian Sminchisescu:
Deep Learning of Graph Matching. 2684-2693 - Yuting Zhang, Yijie Guo, Yixin Jin, Yijun Luo, Zhiyuan He, Honglak Lee:
Unsupervised Discovery of Object Landmarks as Structural Representations. 2694-2703 - Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko:
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference. 2704-2713 - Grant Van Horn, Steve Branson, Scott Loarie, Serge J. Belongie
Lean Multiclass Crowdsourcing. 2714-2723 - Zhangjie Cao, Mingsheng Long
Partial Transfer Learning With Selective Adversarial Networks. 2724-2732 - Simon Jenni, Paolo Favaro:
Self-Supervised Feature Learning by Learning to Spot Artifacts. 2733-2742 - Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. 2743-2751 - Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger:
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions. 2752-2761 - Michel Keller, Zetao Chen, Fabiola Maffra, Patrik Schmuck
Learning Deep Descriptors With Scale-Aware Triplet Networks. 2762-2770 - Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg
Decoupled Networks. 2771-2779 - Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu
Deep Adversarial Metric Learning. 2780-2789 - Lequan Yu
PU-Net: Point Cloud Upsampling Network. 2790-2799 - Amir Atapour Abarghouei
Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer. 2800-2810 - Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou
Learning for Disparity Estimation Through Feature Constancy. 2811-2820 - Po-Han Huang, Kevin Matzen, Johannes Kopf, Narendra Ahuja, Jia-Bin Huang:
DeepMVS: Learning Multi-View Stereopsis. 2821-2830 - Daniel Teo, Boxin Shi, Yinqiang Zheng
Self-Calibrating Polarising Radiometric Calibration. 2831-2839 - Amor Ben Tanfous, Hassen Drira
Coding Kendall's Shape Trajectories for 3D Action Recognition. 2840-2849 - Javier S. Turek
Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling. 2850-2858 - Xun Xu, Loong Fah Cheong, Zhuwen Li:
Motion Segmentation by Exploiting Complementary Geometric Models. 2859-2867 - Yunpeng Shi
Estimation of Camera Locations in Highly Corrupted Scenarios: All About That Base, No Shape Trouble. 2868-2876 - Zhong Li
4D Human Body Correspondences From Panoramic Depth Maps. 2877-2886 - Shiwei Li, Yao Yao, Tian Fang, Long Quan:
Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves. 2887-2896 - Shubham Tulsiani, Alexei A. Efros
Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction. 2897-2905 - Takahiro Isokane, Fumio Okura
Probabilistic Plant Modeling via Multi-View Image-to-Image Translation. 2906-2915 - Yiyi Liao, Simon Donné, Andreas Geiger:
Deep Marching Cubes: Learning Explicit Surface Representations. 2916-2925 - Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri:
Tags2Parts: Discovering Semantic Regions From Shape Tags. 2926-2935 - Zhipeng Mo, Boxin Shi, Feng Lu, Sai-Kit Yeung, Yasuyuki Matsushita
Uncalibrated Photometric Stereo Under Natural Illumination. 2936-2945 - Sunghoon Im, Hae-Gon Jeon
Robust Depth Estimation From Auto Bracketed Images. 2946-2954 - Philipp Krähenbühl:
Free Supervision From Video Games. 2955-2964 - Hao Fang, Florent Lafarge, Mathieu Desbrun:
Planar Shape Detection at Structural Scales. 2965-2973 - Xingyuan Sun, Jiajun Wu, Xiuming Zhang
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. 2974-2983 - Viktor Larsson, Zuzana Kukelova
Camera Pose Estimation With Unknown Principal Point. 2984-2992 - Jayakorn Vongkulbhisal, Beñat Irastorza Ugalde, Fernando De la Torre, João Paulo Costeira
Inverse Composition Discriminative Optimization for Point Cloud Registration. 2993-3001 - Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler:
SurfConv: Bridging 3D and 2D Convolution for RGBD Images. 3002-3011 - Qianggong Zhang, Tat-Jun Chin, Huu M. Le:
A Fast Resection-Intersection Method for the Known Rotation Problem. 3012-3021 - Alexander Grabner, Peter M. Roth, Vincent Lepetit:
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild. 3022-3031 - Xiu Li, Hongdong Li
Structure From Recurrent Motion: From Rigidity to Recurrency. 3032-3040 - Alex Poms, Chenglei Wu, Shoou-I Yu, Yaser Sheikh:
Learning Patch Reconstructability for Accelerating Multi-View Stereo. 3041-3050 - Hao Chen, Youfu Li
Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection. 3051-3060 - Daeyun Shin, Charless C. Fowlkes
Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction. 3061-3069 - Jinshan Pan, Sifei Liu
Learning Dual Convolutional Neural Networks for Low-Level Vision. 3070-3079 - Wenda Zhao, Fan Zhao, Dong Wang, Huchuan Lu:
Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network. 3080-3088 - Nian Liu, Junwei Han, Ming-Hsuan Yang:
PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection. 3089-3098 - Ehud Barnea, Ohad Ben-Shahar
Curve Reconstruction via the Global Statistics of Natural Curves. 3099-3107 - Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel:
What Do Deep Networks Like to See? 3108-3117 - Assaf Shocher, Nadav Cohen, Michal Irani:
"Zero-Shot" Super-Resolution Using Deep Internal Learning. 3118-3126 - Tiantian Wang, Lihe Zhang, Shuo Wang, Huchuan Lu, Gang Yang, Xiang Ruan, Ali Borji:
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection. 3127-3135 - Agata Mosinska, Pablo Márquez-Neila, Mateusz Kozinski
Beyond the Pixel-Wise Loss for Topology-Aware Delineation. 3136-3145 - Jean-Philippe Bauchet, Florent Lafarge:
KIPPI: KInetic Polygonal Partitioning of Images. 3146-3154 - Jingwen Chen, Jiawei Chen, Hongyang Chao, Ming Yang:
Image Blind Denoising With Generative Adversarial Network Based Noise Modeling. 3155-3164 - Noam Yair, Tomer Michaeli:
Multi-Scale Weighted Nuclear Norm Image Restoration. 3165-3174 - Mengran Gou, Fei Xiong, Octavia I. Camps, Mario Sznaier:
MoNet: Moments Embedding Network. 3175-3183 - Calden Wloka, Iuliia Kotseruba, John K. Tsotsos
Active Fixation Control to Predict Saccade Sequences. 3184-3193 - He Zhang, Vishal M. Patel:
Densely Connected Pyramid Dehazing Network. 3194-3203 - Stamatios Lefkimmiatis:
Universal Denoising Networks : A Novel CNN Architecture for Image Denoising. 3204-3213 - Mu Li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, David Zhang:
Learning Convolutional Networks for Content-Weighted Image Compression. 3214-3223 - Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang, Seon Joo Kim:
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation. 3224-3232 - Jiaying Liu
Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos. 3233-3242 - Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection. 3243-3252 - Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu
Gated Fusion Network for Single Image Dehazing. 3253-3261 - Kai Zhang
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations. 3262-3271 - Subeesh Vasu
Non-Blind Deblurring: Handling Kernel Uncertainty With CNNs. 3272-3281 - Peng Lei, Fuxin Li, Sinisa Todorovic:
Boundary Flow: A Siamese Network That Predicts Boundary Motion Without Training on Motion. 3282-3290 - Chen Chen, Qifeng Chen, Jia Xu, Vladlen Koltun:
Learning to See in the Dark. 3291-3300 - Ziming Zhang, Yuanwei Wu, Guanghui Wang:
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning. 3301-3309 - Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides:
Perturbative Neural Networks. 3310-3318 - Yedid Hoshen, Lior Wolf:
Unsupervised Correlation Analysis. 3319-3328 - Lopamudra Mukherjee, Sathya N. Ravi
A Biresolution Spectral Framework for Product Quantization. 3329-3338 - Yuhua Chen, Wen Li, Christos Sakaridis
Domain Adaptive Faster R-CNN for Object Detection in the Wild. 3339-3348 - Matthijs Douze, Arthur Szlam, Bharath Hariharan, Hervé Jégou:
Low-Shot Learning With Large-Scale Diffusion. 3349-3358 - Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu:
Joint Pose and Expression Modeling for Facial Expression Recognition. 3359-3368 - Jochen Gast, Stefan Roth:
Lightweight Probabilistic Deep Networks. 3369-3378 - Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, Ehsan Adeli
Adversarially Learned One-Class Classifier for Novelty Detection. 3379-3388 - Naveed Akhtar
Defense Against Universal Adversarial Perturbations. 3389-3398 - Qiyang Hu, Attila Szabó
Disentangling Factors of Variation by Mixing Them. 3399-3407 - Aliaksandr Siarohin, Enver Sangineto
Deformable GANs for Pose-Based Human Image Generation. 3408-3416 - Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun:
Hierarchical Recurrent Attention Networks for Structured Online Maps. 3417-3426 - Soheil Kolouri, Gustavo K. Rohde, Heiko Hoffmann
Sliced Wasserstein Distance for Learning Gaussian Mixture Models. 3427-3436 - Zhen Zhang, Mianzhi Wang, Yan Huang, Arye Nehorai:
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation. 3437-3445 - Jedrzej Kozerawski, Matthew A. Turk:
CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition. 3446-3455 - Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa:
Local and Global Optimization Techniques in Graph-Based Clustering. 3456-3464 - Youssef A. Mejjati, Darren Cosker
Multi-Task Learning by Maximizing Statistical Dependence. 3465-3473 - Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Robust Classification With Convolutional Prototype Learning. 3474-3482 - Ishan Deshpande, Ziyu Zhang, Alexander G. Schwing:
Generative Modeling Using the Sliced Wasserstein Distance. 3483-3491 - Tom Veniat, Ludovic Denoyer:
Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks. 3492-3500 - Krishna Regmi, Ali Borji:
Cross-View Image Synthesis Using Conditional GANs. 3501-3510 - Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman:
Sparse, Smart Contours to Represent and Edit Images. 3511-3520 - Tomoyuki Suzuki, Hirokatsu Kataoka, Yoshimitsu Aoki, Yutaka Satoh:
Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB. 3521-3529 - Tolga Birdal
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds. 3530-3540 - Ying-Cong Chen, Huaijia Lin, Michelle Shu, Ruiyu Li, Xin Tao
Facelet-Bank for Fast Portrait Manipulation. 3541-3549 - Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui, Tamara L. Berg:
Visual to Sound: Generating Natural Sound for Videos in the Wild. 3550-3558 - Abhijit Kundu
3D-RCNN: Instance-Level 3D Object Reconstruction via Render-and-Compare. 3559-3568 - Wenjie Luo, Bin Yang, Raquel Urtasun:
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net. 3569-3577 - Bharat Singh, Larry S. Davis:
An Analysis of Scale Invariance in Object Detection SNIP. 3578-3587 - Han Hu, Jiayuan Gu
Relation Networks for Object Detection. 3588-3597 - Yuming Shen, Li Liu, Fumin Shen, Ling Shao
Zero-Shot Sketch-Image Hashing. 3598-3607 - Danna Gurari, Qing Li, Abigale J. Stangl
VizWiz Grand Challenge: Answering Visual Questions From Blind People. 3608-3617 - Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu
Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN. 3618-3626 - Jonghyun Choi
Structured Set Matching Networks for One-Shot Part Labeling. 3627-3636 - David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi:
Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. 3637-3645 - Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou:
Link and Code: Fast Indexing With Graphs and Compact Regression Codes. 3646-3654 - Juzheng Li, Hang Su, Jun Zhu, Siyu Wang, Bo Zhang:
Textbook Question Answering Under Instructor Guidance With Memory Networks. 3655-3663 - Kamran Ghasedi Dizaji, Feng Zheng, Najmeh Sadoughi, Yanhua Yang, Cheng Deng
Unsupervised Deep Generative Adversarial Hashing Network. 3664-3673 - Peter Anderson
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments. 3674-3683 - Maoke Yang, Kun Yu, Chi Zhang, Zhiwei Li, Kuiyuan Yang:
DenseASPP for Semantic Segmentation in Street Scenes. 3684-3692 - Pritish Mohapatra, Michal Rolínek, C. V. Jawahar
Efficient Optimization for Rank-Based Loss Functions. 3693-3701 - Kwonjoon Lee, Weijian Xu, Fan Fan, Zhuowen Tu:
Wasserstein Introspective Neural Networks. 3702-3711 - Amir R. Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. 3712-3722 - Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation. 3723-3732 - Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin
Unsupervised Feature Learning via Non-Parametric Instance Discrimination. 3733-3742 - Yang Liu, Zhaowen Wang, Hailin Jin, Ian J. Wassell:
Multi-Task Adversarial Network for Disentangled Feature Learning. 3743-3751 - Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation. 3752-3761 - Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli
Empirical Study of the Topology and Geometry of Deep Networks. 3762-3770 - Massimiliano Mancini
Boosting Domain Adaptation by Discovering Latent Domains. 3771-3780 - Dawei Yang, Jia Deng:
Shape From Shading Through Shape Evolution. 3781-3790 - Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Weakly Supervised Instance Segmentation Using Class Peak Response. 3791-3800 - Weichen Zhang, Wanli Ouyang
Collaborative and Adversarial Network for Unsupervised Domain Adaptation. 3801-3809 - Shuqin Xie, Zitian Chen, Chao Xu, Cewu Lu:
Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines. 3810-3819 - Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue:
Teaching Categories to Human Learners With Visual Explanations. 3820-3828 - Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan
Density Adaptive Point Set Registration. 3829-3837 - Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu
Left-Right Comparative Recurrent Model for Stereo Matching. 3838-3846 - Shuran Song
Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View. 3847-3856 - Luwei Yang, Feitong Tan, Ao Li, Zhaopeng Cui, Yasutaka Furukawa, Ping Tan:
Polarimetric Dense Monocular SLAM. 3857-3866 - Guillermo Gallego
A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation. 3867-3876 - Timur M. Bagautdinov, Chenglei Wu, Jason M. Saragih, Pascal Fua, Yaser Sheikh:
Modeling Facial Geometry Using Compositional VAEs. 3877-3886 - Maxim Tatarchenko, Jaesik Park
Tangent Convolutions for Dense Prediction in 3D. 3887-3896 - Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger:
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials. 3897-3906 - Hiroharu Kato, Yoshitaka Ushiku
Neural 3D Mesh Renderer. 3907-3916 - Dan Xu, Wei Wang, Hao Tang, Hong Liu, Nicu Sebe
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation. 3917-3925 - Yang Yang, Shi Jin, Ruiyang Liu, Sing Bing Kang, Jingyi Yu:
Automatic 3D Indoor Scene Modeling From Single Panorama. 3926-3934 - Anh Tuan Tran, Tal Hassner, Iacopo Masi, Eran Paz, Yuval Nirkin, Gérard G. Medioni:
Extreme 3D Face Reconstruction: Seeing Through Occlusions. 3935-3944 - Viktor Larsson, Magnus Oskarsson
Beyond Grobner Bases: Basis Selection for Minimal Solvers. 3945-3954 - Silvia Zuffi, Angjoo Kanazawa, Michael J. Black:
Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape From Images. 3955-3963 - Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin:
Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift. 3964-3973 - Gui-Song Xia
DOTA: A Large-Scale Dataset for Object Detection in Aerial Images. 3974-3983 - Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization. 3984-3993 - Weimin Tan, Bo Yan, Bahetiyaer Bare:
Feature Super-Resolution: Make Machine See More Clearly. 3994-4002 - Rodney LaLonde
ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information. 4003-4012 - Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam:
MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features. 4013-4022 - Kun He, Fatih Çakir, Sarah Adel Bargal, Stan Sclaroff:
Hashing as Tie-Aware Learning to Rank. 4023-4032 - Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen:
Classification-Driven Dynamic Image Enhancement. 4033-4041 - Kan Chen, Jiyang Gao, Ram Nevatia:
Knowledge Aided Consistency for Weakly Supervised Phrase Grounding. 4042-4050 - Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon, Roozbeh Mottaghi, Ali Farhadi:
Who Let the Dogs Out? Modeling Dog Behavior From Visual Data. 4051-4060 - Xiangyun Zhao, Shuang Liang
Pseudo Mask Augmented Object Detection. 4061-4070 - Changmao Cheng, Yanwei Fu
Dual Skipping Networks. 4071-4079 - Qi Cai, Yingwei Pan
Memory Matching Networks for One-Shot Image Recognition. 4080-4088 - Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi:
IQA: Visual Question Answering in Interactive Environments. 4089-4098 - Jinxian Liu, Bingbing Ni, Yichao Yan, Peng Zhou, Shuo Cheng, Jianguo Hu:
Pose Transferrable Person Re-Identification. 4099-4108 - Yin Cui, Yang Song, Chen Sun, Andrew Howard, Serge J. Belongie
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. 4109-4118 - Ilija Radosavovic, Piotr Dollár, Ross B. Girshick, Georgia Gkioxari, Kaiming He:
Data Distillation: Towards Omni-Supervised Learning. 4119-4128 - Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Object Referring in Videos With Language and Human Gaze. 4129-4138 - Yao Zhai, Jingjing Fu, Yan Lu, Houqiang Li:
Feature Selective Networks for Object Detection. 4139-4147 - Yaming Wang, Vlad I. Morariu, Larry S. Davis:
Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition. 4148-4157 - Hanwang Zhang
Grounding Referring Expressions in Images by Variational Context. 4158-4166 - Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak:
Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams. 4167-4175 - Riccardo Roveri, Lukas Rahmann, Cengiz Öztireli, Markus H. Gross
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation. 4176-4184 - Katarzyna Bozek, Laetitia Hebert, Alexander S. Mikheyev
Towards Dense Object Tracking in a 2D Honeybee Hive. 4185-4193 - Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty. 4194-4202 - Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li:
Single-Shot Refinement Neural Network for Object Detection. 4203-4212 - Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang:
Video Captioning via Hierarchical Reinforcement Learning. 4213-4222 - Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel:
Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge. 4223-4232 - Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross B. Girshick:
Learning to Segment Every Thing. 4233-4241 - Chao Li, Cheng Deng
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval. 4242-4251 - Bohan Zhuang, Qi Wu, Chunhua Shen, Ian D. Reid
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries. 4252-4261 - Xiaopeng Zhang, Jiashi Feng, Hongkai Xiong
Zigzag Learning for Weakly Supervised Object Detection. 4262-4270 - Wenguan Wang
Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification. 4271-4280 - Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai:
Generalized Zero-Shot Learning via Synthesized Examples. 4281-4289 - Jiajiong Cao, Yingming Li, Zhongfei Zhang:
Partially Shared Multi-Task Convolutional Neural Network With Local Constraint for Face Attribute Learning. 4290-4299 - Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks. 4300-4309 - Florian Bernard, Christian Theobalt
DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems. 4310-4319 - Ying Zhang, Tao Xiang, Timothy M. Hospedales, Huchuan Lu:
Deep Mutual Learning. 4320-4328 - Shixing Chen, Caojin Zhang, Ming Dong:
Coupled End-to-End Transfer Learning With Generalized Fisher Information. 4329-4338 - Artem Rozantsev, Mathieu Salzmann, Pascal Fua:
Residual Parameter Transfer for Deep Domain Adaptation. 4339-4348 - Kwang In Kim, Juhyun Park
High-Order Tensor Regularization With Application to Attribute Ranking. 4349-4357 - Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
Learning to Localize Sound Source in Visual Scenes. 4358-4366 - Spyros Gidaris, Nikos Komodakis:
Dynamic Few-Shot Visual Learning Without Forgetting. 4367-4375 - Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang
Two-Step Quantization for Low-Bit Neural Networks. 4376-4384 - Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici:
Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks. 4385-4393 - Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte
Conditional Probability Models for Deep Image Compression. 4394-4402 - Nicki Skafte Detlefsen
Deep Diffeomorphic Transformer Networks. 4403-4412 - Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks. 4413-4421 - Omid Poursaeed
Generative Adversarial Perturbations. 4422-4431 - Xin Yu, Zhiding Yu, Srikumar Ramalingam:
Learning Strict Identity Mappings in Deep Residual Networks. 4432-4440 - Can Kanbak, Seyed-Mohsen Moosavi-Dezfooli
Geometric Robustness of Deep Networks: Analysis and Improvement. 4441-4449 - Hao Zhu, Hao Su, Peng Wang, Xun Cao, Ruigang Yang
View Extrapolation of Human Body From a Single Image. 4450-4459 - Soumava Kumar Roy, Zakaria Mhammedi, Mehrtash Harandi
Geometry Aware Constrained Optimization Techniques for Deep Learning. 4460-4469 - Mikaela Angelina Uy, Gim Hee Lee:
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition. 4470-4479 - Xiyu Yu, Tongliang Liu
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption. 4480-4489 - Yin Zhou, Oncel Tuzel:
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection. 4490-4499 - Zak Murez, Soheil Kolouri, David J. Kriegman, Ravi Ramamoorthi, Kyungnam Kim:
Image to Image Translation for Domain Adaptation. 4500-4509 - Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen:
MobileNetV2: Inverted Residuals and Linear Bottlenecks. 4510-4520 - Chengjie Niu, Jun Li, Kai Xu:
Im2Struct: Recovering 3D Shape Structure From a Single RGB Image. 4521-4529 - Hendrik Schilling, Maximilian Diebold, Carsten Rother, Bernd Jähne:
Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling. 4530-4538 - Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee:
Baseline Desensitizing in Translation Averaging. 4539-4547 - Yiru Shen, Chen Feng
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling. 4548-4557 - Loïc Landrieu, Martin Simonovsky:
Large-Scale Point Cloud Semantic Segmentation With Superpoint Graphs. 4558-4567 - Siyu Zhu, Runze Zhang, Lei Zhou, Tianwei Shen, Tian Fang, Ping Tan, Long Quan:
Very Large-Scale Global SfM by Distributed Motion Averaging. 4568-4577 - Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, Matthias Nießner:
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans. 4578-4587 - Ziquan Lan, David Hsu, Gim Hee Lee:
Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition. 4588-4596 - Jae-Seong Yun, Jae-Young Sim:
Reflection Removal for Large-Scale 3D Point Clouds. 4597-4605 - Saining Xie, Sainan Liu, Zeyu Chen, Zhuowen Tu:
Attentional ShapeContextNet for Point Cloud Recognition. 4606-4615 - Miaomiao Liu
Geometry-Aware Deep Network for Single-Image Novel View Synthesis. 4616-4624 - Hyeongwoo Kim, Michael Zollhöfer, Ayush Tewari, Justus Thies, Christian Richardt
InverseFaceNet: Deep Monocular Inverse Face Rendering. 4625-4634 - Xuan Cao, Zhang Chen, Anpei Chen, Xin Chen
Sparse Photometric 3D Face Reconstruction Guided by Morphable Models. 4635-4644 - Yanping Fu, Qingan Yan, Long Yang, Jie Liao, Chunxia Xiao:
Texture Mapping for 3D Reconstruction With RGB-D Sensor. 4645-4653 - Eric Brachmann, Carsten Rother:
Learning Less Is More - 6D Camera Localization via 3D Surface Regression. 4654-4662 - Mahdi Rad, Markus Oberweger, Vincent Lepetit:
Feature Mapping for Learning Fast and Accurate 3D Pose Inference From Synthetic Images. 4663-4672 - Pyojin Kim, Brian Coltin, H. Jin Kim:
Indoor RGB-D Compass From a Single Line and Plane. 4673-4680 - Albert Pumarola, Antonio Agudo, Lorenzo Porzi, Alberto Sanfeliu, Vincent Lepetit, Francesc Moreno-Noguer:
Geometry-Aware Network for Non-Rigid Shape Prediction From a Single View. 4681-4690 - Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine:
Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control. 4691-4699 - Ke Ma, Zhixin Shu, Xue Bai, Jue Wang
DocUNet: Document Image Unwarping via a Stacked U-Net. 4700-4709 - Aisha Urooj Khan, Ali Borji:
Analysis of Hand Segmentation in the Wild. 4710-4719 - Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, David J. DeWitt:
RoadTracer: Automatic Extraction of Road Networks From Aerial Images. 4720-4728 - Mrinal K. Paul, Stergios I. Roumeliotis:
Alternating-Stereo VINS: Observability Analysis and Performance Evaluation. 4729-4737 - Konstantinos Rematas, Ira Kemelmacher-Shlizerman, Brian Curless, Steven M. Seitz:
Soccer on Your Tabletop. 4738-4747 - Changha Shin, Hae-Gon Jeon
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth From Light Field Images. 4748-4757 - Zhetong Liang, Jun Xu, David Zhang, Zisheng Cao, Lei Zhang:
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping. 4758-4766 - Shijie Nie, Lin Gu, Yinqiang Zheng
Deeply Learned Filter Response Functions for Hyperspectral Reconstruction. 4767-4776 - Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network. 4777-4785 - Xuaner Cecilia Zhang, Ren Ng, Qifeng Chen:
Single Image Reflection Separation With Perceptual Losses. 4786-4794 - Yizhen Lao, Omar Ait-Aider:
A Robust Method for Strong Rolling Shutter Effects Correction Using Lines With Automatic Feature Selection. 4795-4803 - Kenichiro Tanaka, Nobuhiro Ikeya, Tsuyoshi Takatani, Hiroyuki Kubo
Time-Resolved Light Transport Decomposition for Thermal Photometric Stereo. 4804-4813 - Kourosh Meshgi, Shigeyuki Oba, Shin Ishii
Efficient Diverse Ensemble for Discriminative Co-Tracking. 4814-4823 - Akash Bapat, True Price, Jan-Michael Frahm:
Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking. 4824-4833 - Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng
A Twofold Siamese Network for Real-Time Object Tracking. 4834-4843 - Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li:
Multi-Cue Correlation Filters for Robust Visual Tracking. 4844-4853 - Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao, Weiming Hu, Stephen J. Maybank:
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking. 4854-4863 - Xiao Wang, Chenglong Li, Bin Luo, Jin Tang:
SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation. 4864-4873 - Ming Tang, Bin Yu
High-Speed Tracking With Multi-Kernel Correlation Filters. 4874-4883 - Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Peng Wang, Wei Xu:
Occlusion Aware Unsupervised Learning of Optical Flow. 4884-4893 - Wenguan Wang
Revisiting Video Saliency: A Large-Scale Benchmark and a New Model. 4894-4903 - Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang:
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking. 4904-4913 - Giorgos Bouritsas
Multimodal Visual Concept Learning With Weakly Supervised Techniques. 4914-4923 - Jialiang Zhang, Soroosh Khoram, Jing Li
Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA. 4924-4932 - Himalaya Jain
Learning a Complete Image Indexing Pipeline. 4933-4941 - David Mascharka, Philip Tran, Ryan Soklaski, Arjun Majumdar
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning. 4942-4950 - Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song:
Fooling Vision and Language Models Despite Localization and Attention Mechanism. 4951-4961 - Hanzhang Wang, Hanli Wang, Kaisheng Xu:
Categorizing Concepts With Basic Level for Vision-to-Language. 4962-4970 - Aishwarya Agrawal, Dhruv Batra, Devi Parikh, Aniruddha Kembhavi:
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering. 4971-4980 - Jiwoon Ahn, Suha Kwak:
Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation. 4981-4990 - David F. Fouhey, Weicheng Kuo, Alexei A. Efros
From Lifestyle Vlogs to Everyday Interactions. 4991-5000 - Naoto Inoue, Ryosuke Furuta, Toshihiko Yamasaki, Kiyoharu Aizawa:
Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation. 5001-5009 - Asako Kanezaki, Yasuyuki Matsushita
RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints. 5010-5019 - Tong He, Zhi Tian, Weilin Huang, Chunhua Shen, Yu Qiao, Changming Sun
An End-to-End TextSpotter With Explicit Alignment and Attention. 5020-5029 - Tatjana Chavdarova
WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection. 5030-5039 - Xin Miao, Xiantong Zhen, Xianglong Liu
Direct Shape Regression Networks for End-to-End Face Alignment. 5040-5049 - Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele
Natural and Effective Obfuscation by Head Inpainting. 5050-5059 - Jae Shin Yoon, Ziwei Li, Hyun Soo Park:
3D Semantic Trajectory Reconstruction From 3D Pixel Continuum. 5060-5069 - Shizhong Han, Zibo Meng, Zhiyuan Li, James O'Reilly, Jie Cai, Xiaofeng Wang, Yan Tong:
Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition. 5070-5078 - Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee:
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map. 5079-5088 - Yutong Zheng, Dipan K. Pal, Marios Savvides:
Ring Loss: Convex Feature Normalization for Face Recognition. 5089-5097 - Houjing Huang, Dangwei Li, Zhang Zhang, Xiaotang Chen, Kaiqi Huang:
Adversarially Occluded Samples for Person Re-Identification. 5098-5107 - Yong Zhang, Weiming Dong, Bao-Gang Hu
Classifier Learning With Prior Probabilities for Facial Action Unit Recognition. 5108-5116 - Shiyang Cheng, Irene Kotsia, Maja Pantic, Stefanos Zafeiriou:
4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications. 5117-5126 - Chenchen Zhu, Ran Tao, Khoa Luu
Seeing Small Faces From Robust Anchor's Perspective. 5127-5136 - Diogo C. Luvizon, David Picard
2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning. 5137-5146 - Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Dense 3D Regression for Hand Pose Estimation. 5147-5156 - Zhun Zhong, Liang Zheng
Camera Style Adaptation for Person Re-Identification. 5157-5166 - Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov, Leonid Pishchulin, Anton Milan, Juergen Gall, Bernt Schiele
PoseTrack: A Benchmark for Human Pose Estimation and Tracking. 5167-5176 - Yu Wu
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning. 5177-5186 - Kaidi Cao, Yu Rong, Cheng Li, Xiaoou Tang, Chen Change Loy:
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping. 5187-5196 - Jiang Liu, Chenqiang Gao, Deyu Meng, Alexander G. Hauptmann:
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation. 5197-5206 - Yue Luo, Jimmy S. J. Ren
LSTM Pose Machines. 5207-5215 - Feng Liu, Ronghang Zhu, Dan Zeng
Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition. 5216-5225 - Chen Li, Zhen Zhang
Convolutional Sequence to Sequence Model for Human Dynamics. 5226-5234 - Pradyumna Narayana, J. Ross Beveridge, Bruce A. Draper:
Gesture Recognition: Focus on the Hands. 5235-5244 - Zan Shen, Yi Xu, Bingbing Ni, Minsi Wang, Jianguo Hu, Xiaokang Yang:
Crowd Counting via Adversarial Cross-Scale Consistency Pursuit. 5245-5254 - Wei Yang, Wanli Ouyang
3D Human Pose Estimation in the Wild by Adversarial Learning. 5255-5264 - Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, Wei Liu
CosFace: Large Margin Cosine Loss for Deep Face Recognition. 5265-5274 - Yanyu Xu
Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction. 5275-5284 - Hongyu Pan, Hu Han
Mean-Variance Loss for Deep Age Estimation From a Face. 5285-5294 - Dennis Madsen, Marcel Lüthi, Andreas Schneider, Thomas Vetter:
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction. 5295-5303 - A. J. Piergiovanni, Michael S. Ryoo:
Learning Latent Super-Events to Detect Multiple Activities in Videos. 5304-5313 - Yali Wang, Lei Zhou, Yu Qiao
Temporal Hallucinating for Action Recognition With Few Still Images. 5314-5322 - Yansong Tang, Yi Tian, Jiwen Lu
Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition. 5323-5332 - Yanyu Xu
Gaze Prediction in Dynamic 360° Immersive Videos. 5333-5342 - Yazan Abu Farha
When Will You Do What? - Anticipating Temporal Occurrences of Activities. 5343-5352 - Weihong Ren
Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes. 5353-5362 - Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang:
Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-Identification. 5363-5372 - Jiahuan Zhou, Bing Su, Ying Wu:
Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints. 5373-5381 - Zenglin Shi, Le Zhang
Crowd Counting With Deep Negative Correlation Learning. 5382-5390 - Mihai Zanfir, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu:
Human Appearance Transfer. 5391-5399 - Haoliang Li
Domain Generalization With Adversarial Feature Learning. 5400-5409 - Jia-Ren Chang, Yong-Sheng Chen:
Pyramid Stereo Matching Network. 5410-5418 - Ana I. Maqueda, Antonio Loquercio
Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars. 5419-5427 - Hexiang Hu
Learning Answer Embeddings for Visual Question Answering. 5428-5436 - Zijun Wei, Jianming Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, Minh Hoai, Dimitris Samaras:
Good View Hunting: Learning Photo Composition From Dense View Pairs. 5437-5446 - Kuang-Huei Lee, Xiaodong He, Lei Zhang, Linjun Yang:
CleanNet: Transfer Learning for Scalable Image Classifier Training With Label Noise. 5447-5456 - Shuai Li, Wanqing Li
Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN. 5457-5466 - Yaxing Wang, Joost van de Weijer
Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation. 5467-5476 - Garoe Dorta
Structured Uncertainty Prediction Networks. 5477-5485 - Yuji Tokozume, Yoshitaka Ushiku
Between-Class Learning for Image Classification. 5486-5494 - Riccardo Volpi, Pietro Morerio, Silvio Savarese, Vittorio Murino
Adversarial Feature Augmentation for Unsupervised Domain Adaptation. 5495-5504 - Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang:
Generative Image Inpainting With Contextual Attention. 5505-5514 - Gopal Sharma, Rishabh Goyal, Difan Liu
CSGNet: Neural Shape Parser for Constructive Solid Geometry. 5515-5523 - Jianxin Lin, Yingce Xia, Tao Qin
Conditional Image-to-Image Translation. 5524-5532 - D. Khuê Lê-Huu, Nikos Paragios:
Continuous Relaxation of MAP Inference: A Nonconvex Perspective. 5533-5541 - Yongqin Xian, Tobias Lorenz
Feature Generating Networks for Zero-Shot Learning. 5542-5551 - Daiki Tanaka, Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa:
Joint Optimization Framework for Learning With Noisy Labels. 5552-5560 - Jyoti Aneja, Aditya Deshpande, Alexander G. Schwing:
Convolutional Image Captioning. 5561-5570 - Zhanzhan Cheng, Yangliu Xu, Fan Bai, Yi Niu, Shiliang Pu, Shuigeng Zhou:
AON: Towards Arbitrarily-Oriented Text Recognition. 5571-5579 - Anton Mallasto, Aasa Feragen
Wrapped Gaussian Process Regression on Riemannian Manifolds. 5580-5588 - Chuang Gan, Boqing Gong, Kun Liu, Hao Su, Leonidas J. Guibas:
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning. 5589-5597 - Michael Firman, Neill D. F. Campbell
DiverseNet: When One Right Answer Is Not Enough. 5598-5607 - Muhammad Abdullah Jamal, Haoxiang Li, Boqing Gong:
Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting. 5608-5618 - Takumi Kobayashi:
Analyzing Filters Toward Efficient ConvNet. 5619-5628 - Mohammadreza Mostajabi, Michael Maire, Gregory Shakhnarovich:
Regularizing Deep Networks by Modeling and Predicting Label Structure. 5629-5638 - Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder:
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs. 5639-5647 - Kushal Kafle, Brian L. Price, Scott Cohen, Christopher Kanan:
DVQA: Understanding Data Visualizations via Question Answering. 5648-5656 - Shuang Ma, Jianlong Fu, Chang Wen Chen
DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks. 5657-5666 - Reza Mahjourian, Martin Wicke, Anelia Angelova:
Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints. 5667-5675 - Xuebo Liu, Ding Liang, Shi Yan
FOTS: Fast Oriented Text Spotting With a Unified Network. 5676-5685 - Mason Liu, Menglong Zhu:
Mobile Video Object Detection With Temporally-Aware Feature Maps. 5686-5695 - Fang Zhao, Jianshu Li, Jian Zhao, Jiashi Feng:
Weakly Supervised Phrase Localization With Multi-Scale Anchored Transformer Network. 5696-5705 - Filip Radenovic, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. 5706-5715 - Wei-Lun Chao, Hexiang Hu
Cross-Dataset Adaptation for Visual Question Answering. 5716-5725 - Kyungdon Joo, Tae-Hyun Oh, In So Kweon, Jean-Charles Bazin:
Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation. 5726-5734 - Quanzeng You, Zhengyou Zhang, Jiebo Luo
End-to-End Convolutional Semantic Embeddings. 5735-5744 - Ruiyu Li, Kaican Li, Yi-Chun Kuo, Michelle Shu, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia:
Referring Image Segmentation via Recurrent Refinement Networks. 5745-5753 - Unnat Jain, Svetlana Lazebnik, Alexander G. Schwing:
Two Can Play This Game: Visual Dialog With Discriminative Question Generation and Answering. 5754-5763 - Yunhang Shen
Generative Adversarial Learning Towards Fast Weakly Supervised Detection. 5764-5773 - Piotr Koniusz, Hongguang Zhang, Fatih Porikli:
A Deeper Look at Power Normalizations. 5774-5783 - Wen-Yan Lin, Siying Liu, Jian-Huang Lai, Yasuyuki Matsushita
Dimensionality's Blessing: Clustering Images by Underlying Distribution. 5784-5793 - Maoqing Tian, Shuai Yi, Hongsheng Li
Eliminating Background-Bias for Robust Person Re-Identification. 5794-5803 - Yin Cui, Guandao Yang, Andreas Veit, Xun Huang, Serge J. Belongie
Learning to Evaluate Image Captioning. 5804-5812 - Zhishuai Zhang, Siyuan Qiao, Cihang Xie
Single-Shot Object Detection With Enriched Semantics. 5813-5821 - Hang Qi, Matthew Brown, David G. Lowe:
Low-Shot Learning With Imprinted Weights. 5822-5830 - Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi:
Neural Motifs: Scene Graph Parsing With Global Context. 5831-5840 - Qingyang Tan, Lin Gao, Yu-Kun Lai, Shihong Xia:
Variational Autoencoders for Deforming 3D Mesh Models. 5841-5850 - Aditya Dhawale, Kumar Shaurya Shankar
Fast Monte-Carlo Localization on Aerial Vehicles Using Approximate Continuous Belief Representations. 5851-5859 - Peng Wang, Ruigang Yang
DeLS-3D: Deep Localization and Segmentation With a 3D Semantic Map. 5860-5869 - Yiping Chen
LiDAR-Video Driving Dataset: Learning Driving Policies Effectively. 5870-5878 - Alexander Sage, Eirikur Agustsson, Radu Timofte
Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks. 5879-5888 - Gedas Bertasius, Aaron Chan, Jianbo Shi:
Egocentric Basketball Motion Planning From a Single First-Person Image. 5889-5898 - Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, Song-Chun Zhu:
Human-Centric Indoor Scene Synthesis Using Stochastic Grammar. 5899-5908 - Minghui Liao, Zhen Zhu
Rotation-Sensitive Regression for Oriented Scene Text Detection. 5909-5918 - Andreas Veit, Maximilian Nickel
Separating Self-Expression and Visual Content in Hashtag Supervision. 5919-5927 - Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon:
Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning. 5928-5936 - Ruohan Gao, Bo Xiong, Kristen Grauman:
Im2Flow: Motion Hallucination From Static Images for Action Recognition. 5937-5947 - De-An Huang, Shyamal Buch, Lucio M. Dery, Animesh Garg, Li Fei-Fei, Juan Carlos Niebles
Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos. 5948-5957 - Kirill Gavrilyuk, Amir Ghodrati, Zhenyang Li, Cees G. M. Snoek:
Actor and Action Video Segmentation From a Sentence. 5958-5966 - Rafael Possas, Sheila M. Pinto-Caceres, Fabio Ramos:
Egocentric Activity Recognition on a Budget. 5967-5976 - Linchao Bao
CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF. 5977-5986 - Alexander Richard, Hilde Kuehne
Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints. 5987-5996 - Yule Li, Jianping Shi, Dahua Lin
Low-Latency Video Semantic Segmentation. 5997-6005 - Huanyu Yu, Shuo Cheng, Bingbing Ni, Minsi Wang, Jian Zhang, Xiaokang Yang:
Fine-Grained Video Captioning for Sports Narrative. 6006-6015 - Lijie Fan, Wen-bing Huang, Chuang Gan, Stefano Ermon, Boqing Gong, Junzhou Huang
End-to-End Learning of Motion Representation for Video Understanding. 6016-6025 - Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu
Compressed Video Action Recognition. 6026-6035 - Ergys Ristani, Carlo Tomasi:
Features for Multi-Target Multi-Camera Tracking and Re-Identification. 6036-6046 - Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik:
AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions. 6047-6056 - Hazel Doughty
Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination. 6057-6066 - Irtiza Hasan, Francesco Setti
MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses. 6067-6076 - Peter Anderson
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. 6077-6086 - Duy-Kien Nguyen, Takayuki Okatani:
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering. 6087-6096 - Daniela Massiceti, N. Siddharth
FlipDial: A Generative Model for Two-Way Visual Dialogue. 6097-6105 - Qi Wu, Peng Wang, Chunhua Shen, Ian D. Reid
Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning. 6106-6115 - Yikang Li, Nan Duan
Visual Question Generation as Dual Task of Visual Question Answering. 6116-6124 - Raymond A. Yeh
Unsupervised Textual Grounding: Linking Words to Image Concepts. 6125-6134 - Junwei Liang
Focal Visual-Text Attention for Visual Question Answering. 6135-6143 - Kiana Ehsani, Roozbeh Mottaghi, Ali Farhadi:
SeGAN: Segmenting and Generating the Invisible. 6144-6153 - Zhaowei Cai, Nuno Vasconcelos
Cascade R-CNN: Delving Into High Quality Object Detection. 6154-6162 - Yan Huang, Qi Wu, Chunfeng Song, Liang Wang:
Learning Semantic Concepts and Order for Image and Sentence Matching. 6163-6171 - Gordon A. Christie, Neil Fendley, James Wilson, Ryan Mukherjee:
Functional Map of the World. 6172-6180 - Chao Peng, Tete Xiao, Zeming Li, Yuning Jiang, Xiangyu Zhang, Kai Jia, Gang Yu
MegDet: A Large Mini-Batch Object Detector. 6181-6189 - Yongming Rao, Dahua Lin
Learning Globally Optimized Object Detector via Policy Gradient. 6190-6198 - Zizhao Zhang, Yuanpu Xie, Lin Yang:
Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network. 6199-6208 - Zhuo Hui, Kalyan Sunkavalli, Sunil Hadap, Aswin C. Sankaranarayanan:
Illuminant Spectra-Based Source Separation Using Flash Photography. 6209-6218 - Ruilin Xu
Trapping Light for Time of Flight. 6219-6227 - Yochai Blau, Tomer Michaeli:
The Perception-Distortion Tradeoff. 6228-6237 - Hao Zhou, Jin Sun, Yaser Yacoob, David W. Jacobs:
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces. 6238-6247 - Parsa Mirdehghan, Wenzheng Chen, Kiriakos N. Kutulakos:
Optimal Structured Light à La Carte. 6248-6257 - Brandon M. Smith, Matthew O'Toole, Mohit Gupta:
Tracking Multiple Objects Outside the Line of Sight Using Speckle Imaging. 6258-6266 - Manel Baradad, Vickie Ye, Adam B. Yedidia, Frédo Durand, William T. Freeman, Gregory W. Wornell, Antonio Torralba:
Inferring Light Fields From Shadows. 6267-6275 - Tal Tlusty, Tomer Michaeli, Tali Dekel, Lihi Zelnik-Manor:
Modifying Non-Local Variations Across Multiple Views. 6276-6285 - Jie Chen
Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework. 6286-6295 - Soumyadip Sengupta, Angjoo Kanazawa, Carlos Domingo Castillo, David W. Jacobs:
SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild'. 6296-6305 - Yu-Sheng Chen
Deep Photo Enhancer: Unpaired Learning for Image Enhancement From Photographs With GANs. 6306-6314 - Abhimitra Meka, Maxim Maximov, Michael Zollhöfer, Avishek Chatterjee, Hans-Peter Seidel, Christian Richardt
LIME: Live Intrinsic Material Estimation. 6315-6324 - Linguang Zhang, Szymon Rusinkiewicz
Learning to Detect Features in Texture Images. 6325-6333 - Meiguang Jin, Givi Meishvili, Paolo Favaro:
Learning to Extract a Video Sequence From a Single Motion-Blurred Image. 6334-6342 - Rushil Anirudh, Hyojin Kim, Jayaraman J. Thiagarajan, K. Aditya Mohan
Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion. 6343-6352 - Yifang Men, Zhouhui Lian, Yingmin Tang, Jianguo Xiao:
A Common Framework for Interactive Texture Transfer. 6353-6362 - Jiri Fajtl, Vasileios Argyriou, Dorothy Monekosso
AMNet: Memorability Estimation With Attention. 6363-6372 - Da Pan, Ping Shi, Ming Hou, Zefeng Ying, Sizhe Fu, Yuan Zhang:
Blind Predicting Similar Quality Map for Image Quality Assessment. 6373-6382 - Shuochen Su, Felix Heide, Gordon Wetzstein
Deep End-to-End Time-of-Flight Imaging. 6383-6392 - Pratul P. Srinivasan, Rahul Garg, Neal Wadhwa, Ren Ng, Jonathan T. Barron:
Aperture Supervision for Monocular Depth Estimation. 6393-6401 - Naoki Sakakibara, Fumihiko Sakaue, Jun Sato:
Seeing Temporal Modulation of Lights From Standard Cameras. 6402-6410 - Aviad Levis
Statistical Tomography of Microscopic Life. 6411-6420 - Mahesh Mohan M. R., A. N. Rajagopalan:
Divide and Conquer for Full-Resolution Light Field Deblurring. 6421-6429 - Qian Huang, Weixin Zhu, Yang Zhao, Linsen Chen, Yao Wang, Tao Yue, Xun Cao:
Multispectral Image Intrinsic Decomposition via Subspace Constraint. 6430-6439 - Hakki Can Karaimer, Michael S. Brown:
Improving Color Reproduction Accuracy on Cameras. 6440-6449 - Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri:
A Closer Look at Spatiotemporal Convolutions for Action Recognition. 6450-6459 - Lifeng Fan, Yixin Chen, Ping Wei, Wenguan Wang
Inferring Shared Attention in Social Scene Videos. 6460-6468 - Xiaodong Yang, Pavlo Molchanov, Jan Kautz:
Making Convolutional Networks Recurrent for Visual Sequence Learning. 6469-6478 - Waqas Sultani
Real-World Anomaly Detection in Surveillance Videos. 6479-6488 - Yi Zhou, Ling Shao
Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification. 6489-6498 - Linjie Yang, Yanran Wang, Xuehan Xiong, Jianchao Yang, Aggelos K. Katsaggelos
Efficient Video Object Segmentation via Network Modulation. 6499-6507 - Li Ding
Weakly-Supervised Action Segmentation With Iterative Soft Boundary Assignment. 6508-6516 - Bing Li, Chia-Wen Lin
Depth-Aware Stereo Video Retargeting. 6517-6525 - Siyang Li, Bryan Seybold, Alexey Vorobyov, Alireza Fathi, Qin Huang, C.-C. Jay Kuo
Instance Embedding Transfer to Unsupervised Video Object Segmentation. 6526-6535 - Wen Liu
Future Frame Prediction for Anomaly Detection - A New Baseline. 6536-6545 - Kensho Hara, Hirokatsu Kataoka, Yutaka Satoh:
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? 6546-6555 - Yu-Syuan Xu, Tsu-Jui Fu, Hsuan-Kung Yang, Chun-Yi Lee
Dynamic Video Segmentation Network. 6556-6565 - Yue Zhao, Yuanjun Xiong, Dahua Lin
Recognize Actions by Disentangling Components of Dynamics. 6566-6575 - Jiyang Gao, Runzhou Ge
Motion-Appearance Co-Memory Networks for Video Question Answering. 6576-6585 - Shanghang Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, João Paulo Costeira
Learning to Understand Image Blur. 6586-6595 - Piotr Bilinski
Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation. 6596-6605 - Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino:
Generative Adversarial Image Synthesis With Decision Tree Latent Controller. 6606-6615 - Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang:
Learning a Discriminative Prior for Blind Image Deblurring. 6616-6625 - Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown:
Frame-Recurrent Video Super-Resolution. 6626-6634 - Edward Zhang, Michael F. Cohen, Brian Curless:
Discovering Point Lights With Intensity Distance Fields. 6635-6643 - Minghan Li
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding. 6644-6653 - Dongdong Chen, Lu Yuan, Jing Liao
Stereoscopic Neural Style Transfer. 6654-6663 - Ren Yang, Mai Xu, Zulin Wang, Tianyi Li:
Multi-Frame Quality Enhancement for Compressed Video. 6664-6673 - Anil S. Baslamisli
CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition. 6674-6683 - Jaeyoung Yoo, Sang-Ho Lee, Nojun Kwak:
Image Restoration by Estimating Frequency Distribution of Local Patches. 6684-6692 - Simon Korman, Roee Litman:
Latent RANSAC. 6693-6702 - Matthew Tesfaldet, Marcus A. Brubaker
Two-Stream Convolutional Networks for Dynamic Texture Synthesis. 6703-6712 - Jianmin Bao, Dong Chen, Fang Wen, Houqiang Li, Gang Hua:
Towards Open-Set Identity Preserving Face Synthesis. 6713-6722 - Derya Akkaynak
A Revised Underwater Image Formation Model. 6723-6732 - Daniel Barath, Jiri Matas
Graph-Cut RANSAC. 6733-6741 - Peng Lei, Sinisa Todorovic:
Temporal Deformable Residual Networks for Action Segmentation in Videos. 6742-6751 - Phuc Nguyen, Ting Liu, Gautam Prasad, Bohyung Han:
Weakly Supervised Action Localization by Sparse Temporal Pooling Network. 6752-6761 - Dingwen Zhang, Guangyu Guo, Dong Huang, Junwei Han:
PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos. 6762-6770 - Shuyue Lan, Rameswar Panda, Qi Zhu, Amit K. Roy-Chowdhury:
FFNet: Video Fast-Forwarding via Reinforcement Learning. 6771-6780 - Jianfu Zhang, Naiyan Wang, Liqing Zhang:
Multi-Shot Pedestrian Re-Identification via Sequential Decision Making. 6781-6789 - Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib
Attend and Interact: Higher-Order Object Interactions for Video Understanding. 6790-6800 - Ping Wei, Yang Liu, Tianmin Shu, Nanning Zheng, Song-Chun Zhu:
Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks. 6801-6809 - Yiheng Zhang, Zhaofan Qiu, Ting Yao, Dong Liu, Tao Mei:
Fully Convolutional Adaptation Networks for Semantic Segmentation. 6810-6818 - David Nilsson, Cristian Sminchisescu:
Semantic Video Segmentation by Gated Recurrent Flow Propagation. 6819-6828 - Xian Wu, Guanbin Li, Qingxing Cao, Qingge Ji, Liang Lin:
Interpretable Video Captioning via Trajectory Structured Localization. 6829-6837 - Zhixiang Chen
Deep Hashing via Discrepancy Minimization. 6838-6847 - Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, Jian Sun:
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices. 6848-6856 - Xiaolong Wang, Yufei Ye, Abhinav Gupta:
Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs. 6857-6866 - Ranjay Krishna, Ines Chami, Michael S. Bernstein
Referring Relationships. 6867-6876 - Lachlan Tychsen-Smith, Lars Petersson
Improving Object Localization With Fitness NMS and Bounded IoU Loss. 6877-6885 - Yantao Shen, Tong Xiao, Hongsheng Li
End-to-End Deep Kronecker-Product Matching for Person Re-Identification. 6886-6895 - Johannes L. Schönberger, Marc Pollefeys
Semantic Visual Localization. 6896-6906 - Abel Gonzalez-Garcia, Davide Modolo, Vittorio Ferrari:
Objects as Context for Detecting Their Semantic Parts. 6907-6916 - Ignacio Rocco, Relja Arandjelovic, Josef Sivic:
End-to-End Weakly-Supervised Semantic Alignment. 6917-6925 - Mingfei Gao, Ruichi Yu, Ang Li, Vlad I. Morariu, Larry S. Davis:
Dynamic Zoom-In Network for Fast Object Detection in Large Images. 6926-6935 - Zichuan Liu, Guosheng Lin
Learning Markov Clustering Networks for Scene Text Detection. 6936-6944 - Aleksis Pirinen, Cristian Sminchisescu:
Deep Reinforcement Learning of Region Proposal Networks for Object Detection. 6945-6954 - Cewu Lu, Hao Su, Yonglu Li, Yongyi Lu, Li Yi, Chi-Keung Tang, Leonidas J. Guibas:
Beyond Holistic Object Recognition: Enriching Image Understanding With Part States. 6955-6963 - Ruotian Luo, Brian L. Price, Scott Cohen, Gregory Shakhnarovich:
Discriminability Objective for Training Descriptive Captions. 6964-6974 - Chao Ma, Chunhua Shen, Anthony R. Dick
Visual Question Answering With Memory-Augmented Networks. 6975-6984 - Yong Liu, Ruiping Wang, Shiguang Shan
Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships. 6985-6994 - Shanshan Zhang, Jian Yang, Bernt Schiele
Occluded Pedestrian Detection Through Guided Attention in CNNs. 6995-7003 - Hsiao-Yu Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki:
Reward Learning From Narrated Demonstrations. 7004-7013 - Zilong Huang, Xinggang Wang
Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing. 7014-7023 - Vasileios Choutas, Philippe Weinzaepfel, Jérôme Revaud, Cordelia Schmid:
PoTion: Pose MoTion Representation for Action Recognition. 7024-7033 - Yong Zhang, Rui Zhao, Weiming Dong, Bao-Gang Hu
Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation. 7034-7043 - Yang Wang, Minh Hoai:
Pulling Actions out of Context: Explicit Separation for Effective Combination. 7044-7053 - Lingxiao He, Haiqing Li, Qi Zhang, Zhenan Sun:
Dynamic Feature Learning for Partial Face Recognition. 7054-7063 - Sourya Roy
Exploiting Transitivity for Learning Person Re-Identification Models on a Budget. 7064-7072 - Lingxiao He, Jian Liang, Haiqing Li, Zhenan Sun:
Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach. 7073-7082 - Wei Wang, Xavier Alameda-Pineda, Dan Xu, Pascal Fua, Elisa Ricci
Every Smile Is Unique: Landmark-Guided Diverse Smile Generation. 7083-7092 - Jiankang Deng, Shiyang Cheng, Niannan Xue, Yuxiang Zhou, Stefanos Zafeiriou:
UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition. 7093-7102 - Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu
Cascaded Pyramid Network for Multi-Person Pose Estimation. 7103-7112 - Hang Chu, Daiqing Li, Sanja Fidler:
A Face-to-Face Neural Conversation Model. 7113-7121 - Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik:
End-to-End Recovery of Human Shape and Pose. 7122-7131 - Jie Hu, Li Shen, Gang Sun:
Squeeze-and-Excitation Networks. 7132-7141 - Md. Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce:
Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects. 7142-7150 - Hang Zhang, Kristin J. Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang
Context Encoding for Semantic Segmentation. 7151-7160 - Wei-Lin Hsiao, Kristen Grauman:
Creating Capsule Wardrobes From Fashion Images. 7161-7170 - Li Niu, Ashok Veeraraghavan, Ashutosh Sabharwal:
Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification. 7171-7180 - Jiuxiang Gu, Jianfei Cai
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval With Generative Models. 7181-7189 - Jingwen Wang, Wenhao Jiang, Lin Ma, Wei Liu
Bidirectional Attentive Fusion With Context Gating for Dense Video Captioning. 7190-7198 - Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys
InLoc: Indoor Visual Localization With Dense Matching and View Synthesis. 7199-7209 - Xizhou Zhu, Jifeng Dai
Towards High Performance Video Object Detection. 7210-7218 - Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh:
Neural Baby Talk. 7219-7228 - Siyuan Qiao, Chenxi Liu, Wei Shen, Alan L. Yuille
Few-Shot Image Recognition by Predicting Parameters From Activations. 7229-7238 - Xinlei Chen, Li-Jia Li
Iterative Visual Reasoning Beyond Convolutions. 7239-7248 - Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin:
Visual Question Reasoning on General Dependency Tree. 7249-7257 - Sixing Hu, Mengdan Feng, Rang M. H. Nguyen, Gim Hee Lee:
CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization. 7258-7267 - Yunchao Wei, Huaxin Xiao, Honghui Shi
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation. 7268-7277 - Yu-Xiong Wang, Ross B. Girshick, Martial Hebert, Bharath Hariharan:
Low-Shot Learning From Imaginary Data. 7278-7286 - Tao Yu, Zerong Zheng, Kaiwen Guo, Jianhui Zhao, Qionghai Dai, Hao Li
DoubleFusion: Real-Time Capture of Human Performances With Inner Body Shapes From a Single Depth Sensor. 7287-7296 - Riza Alp Güler, Natalia Neverova, Iasonas Kokkinos:
DensePose: Dense Human Pose Estimation in the Wild. 7297-7306 - Georgios Pavlakos, Xiaowei Zhou, Kostas Daniilidis:
Ordinal Depth Supervision for 3D Human Pose Estimation. 7307-7316 - Pablo Speciale, Danda Pani Paudel, Martin R. Oswald, Hayko Riemenschneider, Luc Van Gool, Marc Pollefeys
Consensus Maximization for Semantic Region Correspondences. 7317-7326 - Alessandro Vianello, Jens Ackermann, Maximilian Diebold, Bernd Jähne:
Robust Hough Transform Based 3D Reconstruction From Circular Light Fields. 7327-7335 - Qianyi Wu, Juyong Zhang, Yu-Kun Lai, Jianmin Zheng
Alive Caricature From 2D to 3D. 7336-7345 - Luan Tran, Xiaoming Liu:
Nonlinear 3D Face Morphable Model. 7346-7355 - Mingmin Zhao, Tianhong Li, Mohammad Abu Alsheikh
Through-Wall Human Pose Estimation Using Radio Signals. 7356-7365 - De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. 7366-7375 - Seoung Wug Oh, Joon-Young Lee, Kalyan Sunkavalli, Seon Joo Kim:
Fast Video Object Segmentation by Reference-Guided Mask Propagation. 7376-7385 - Alexander Richard, Hilde Kuehne
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning. 7386-7395 - Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Actor and Observer: Joint Modeling of First and Third-Person Videos. 7396-7404 - Bin Zhao, Xuelong Li, Xiaoqiang Lu:
HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization. 7405-7414 - Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang:
Fast and Accurate Online Video Object Segmentation via Tracking Parts. 7415-7424 - Yuhao Zhou, Makarand Tapaswi, Sanja Fidler:
Now You Shake Me: Towards Automatic 4D Cinema. 7425-7434 - Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku
Viewpoint-Aware Video Summarization. 7435-7444 - Yuki Fujimura, Masaaki Iiyama, Atsushi Hashimoto, Michihiko Minoh:
Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter. 7445-7453 - Xiaowei Hu
Direction-Aware Spatial Context Features for Shadow Detection. 7454-7462 - Yan Li, Junge Zhang, Jianguo Zhang
Discriminative Learning of Latent Features for Zero-Shot Recognition. 7463-7471 - Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker:
Learning to Adapt Structured Output Space for Semantic Segmentation. 7472-7481 - Alex Kendall, Yarin Gal, Roberto Cipolla
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics. 7482-7491 - Yehao Li, Ting Yao, Yingwei Pan
Jointly Localizing and Describing Events for Dense Video Captioning. 7492-7500 - Siavash Gorji, James J. Clark:
Going From Image to Video Saliency: Augmenting Image Salience With Dynamic Attentional Push. 7501-7511 - Junbo Wang, Wei Wang, Yan Huang, Liang Wang, Tieniu Tan:
M3: Multimodal Memory Modelling for Video Captioning. 7512-7520 - Shaojing Fan, Zhiqi Shen
Emotional Attention: A Study of Image Sentiment and Visual Attention. 7521-7531 - Alexander Andreopoulos, Hirak J. Kashyap, Tapan K. Nayak, Arnon Amir
A Low Power, High Throughput, Fully Event-Based Stereo System. 7532-7542 - Xintong Han, Zuxuan Wu, Zhe Wu, Ruichi Yu, Larry S. Davis:
VITON: An Image-Based Virtual Try-On Network. 7543-7552 - Pengyuan Lyu
Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation. 7553-7563 - Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell:
Multi-Content GAN for Few-Shot Font Style Transfer. 7564-7573 - Eli Shlizerman
Audio to Body Dynamics. 7574-7583 - Jufeng Yang, Dongyu She, Yu-Kun Lai, Paul L. Rosin, Ming-Hsuan Yang:
Weakly Supervised Coupled Networks for Visual Sentiment Analysis. 7584-7592 - Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato:
Future Person Localization in First-Person Videos. 7593-7602 - Yashas Annadani, Soma Biswas:
Preserving Semantic Relations for Zero-Shot Learning. 7603-7612 - Hareesh Ravi
Show Me a Story: Towards Coherent Neural Story Illustration. 7613-7621 - Bairui Wang, Lin Ma, Wei Zhang, Wei Liu
Reconstruction Network for Video Captioning. 7622-7631 - Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondrej Chum:
Fast Spectral Ranking for Similarity Search. 7632-7641 - Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Mining on Manifolds: Metric Learning Without Labels. 7642-7651 - Bin Yang, Wenjie Luo, Raquel Urtasun:
PIXOR: Real-Time 3D Object Detection From Point Clouds. 7652-7660 - Xialei Liu, Joost van de Weijer
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. 7661-7669 - Hongguang Zhang, Piotr Koniusz:
Zero-Shot Kernel Learning. 7670-7679 - Badri N. Patro
Differential Attention for Visual Question Answering. 7680-7688 - Li Niu, Qingtao Tang, Ashok Veeraraghavan, Ashutosh Sabharwal:
Learning From Noisy Web Data With Category-Level Supervision. 7689-7698 - Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu, Kate Saenko
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning. 7699-7707 - Kenan E. Ak, Ashraf A. Kassim, Joo-Hwee Lim, Jo Yew Tham:
Learning Attribute Representations With Localization for Flexible Fashion Search. 7708-7717 - Jonatas Wehrmann
Bidirectional Retrieval Made Simple. 7718-7726 - Kai Liu, Hua Wang, Feiping Nie
Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances. 7727-7735 - Zhou Su, Chen Zhu, Yinpeng Dong, Dongqi Cai, Yurong Chen
Learning Visual Knowledge Memory Networks for Visual Question Answering. 7736-7745 - Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan:
Visual Grounding via Accumulated Attention. 7746-7755 - Guanglu Song, Yu Liu, Ming Jiang, Yujie Wang, Junjie Yan, Biao Leng:
Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy. 7756-7764 - Arun Mallya, Svetlana Lazebnik:
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning. 7765-7773 - Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao
Repulsion Loss: Detecting Pedestrians in a Crowd. 7774-7783 - Necati Cihan Camgöz, Simon Hadfield
Neural Sign Language Translation. 7784-7793 - Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He:
Non-Local Neural Networks. 7794-7803 - Lorenzo Baraldi
LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers. 7804-7813 - Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, Dahua Lin
Optimizing Video Object Detection via a Scale-Time Lattice. 7814-7823 - Yu-Chuan Su, Kristen Grauman:
Learning Compressible 360° Video Isomers. 7824-7833 - Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen:
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification. 7834-7843 - Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman:
What Have We Learned From Deep Representations for Action Recognition? 7844-7853 - Zekun Hao, Xun Huang, Serge J. Belongie
Controllable Video Generation With Sparse Trajectories. 7854-7863 - Serim Park, Matthew Thorpe:
Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint. 7864-7872 - Frederick Tung, Greg Mori:
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization. 7873-7882 - Ishant Shanu, Chetan Arora, S. N. Maheshwari:
Inference in Higher Order MRF-MAP Problems With Small and Large Cliques. 7883-7891 - Yuhua Chen, Wen Li, Luc Van Gool:
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes. 7892-7901 - Brian Dolhansky, Cristian Canton-Ferrer:
Eye In-Painting With Exemplar Generative Adversarial Networks. 7902-7911 - Dong-Qing Zhang:
ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions. 7912-7919 - Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu
Towards Effective Low-Bitwidth Convolutional Neural Networks. 7920-7928 - Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan:
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks. 7929-7938 - Zongwei Wang, Xu Tang, Weixin Luo, Shenghua Gao:
Face Aging With Identity-Preserved Conditional Generative Adversarial Networks. 7939-7947 - Jianming Lv, Weihang Chen, Qing Li
Unsupervised Cross-Dataset Person Re-Identification by Transfer Learning of Spatial-Temporal Patterns. 7948-7956 - Zhun Sun, Mete Ozay, Yan Zhang, Xing Liu, Takayuki Okatani:
Feature Quantization for Defending Against Distortion of Images. 7957-7966 - Baoyuan Wu, Weidong Chen, Peng Sun, Wei Liu
Tagging Like Humans: Diverse and Distinct Image Annotation. 7967-7975 - Qingchao Chen
Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation. 7976-7985 - Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee:
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis. 7986-7994 - Xinpeng Chen, Lin Ma, Wenhao Jiang, Jian Yao, Wei Liu
Regularizing RNNs for Caption Generation by Reconstructing the Past With the Present. 7995-8003 - Pedro O. Pinheiro:
Unsupervised Domain Adaptation With Similarity Learning. 8004-8013 - Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song
Learning Deep Sketch Abstraction. 8014-8023 - Gellért Máttyus, Raquel Urtasun:
Matching Adversarial Networks. 8024-8032 - Mario Sznaier, Octavia I. Camps:
SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms. 8033-8041 - Yan Wang, Lequn Wang, Yurong You
Resource Aware Person Re-Identification Across Multiple Resolutions. 8042-8051 - Donglai Wei, Joseph J. Lim, Andrew Zisserman, William T. Freeman:
Learning and Using the Arrow of Time. 8052-8060 - Falong Shen, Shuicheng Yan, Gang Zeng:
Neural Style Transfer via Meta Networks. 8061-8069 - Mark Marsden, Kevin McGuinness
People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting. 8070-8079 - Ravi Teja Mullapudi, William R. Mark, Noam Shazeer, Kayvon Fatahalian:
HydraNets: Specialized Dynamic Architectures for Efficient Inference. 8080-8089 - Peng Xu, Yongye Huang, Tongtong Yuan, Kaiyue Pang, Yi-Zhe Song
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. 8090-8098 - Paolo Russo
From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN. 8099-8108 - José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro:
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning. 8109-8118 - Sylvestre-Alvise Rebuffi
Efficient Parametrization of Multi-Domain Deep Neural Networks. 8119-8127 - Wei-An Lin, Jun-Cheng Chen
Deep Density Clustering of Unconstrained Faces. 8128-8137 - Paul Amayo, Pedro Piniés, Lina María Paz, Paul Newman:
Geometric Multi-Model Fitting With a Convex Relaxation Algorithm. 8138-8146 - Daiki Ikami, Toshihiko Yamasaki, Kiyoharu Aizawa:
Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems. 8147-8155 - Jing Zhang
Importance Weighted Adversarial Nets for Partial Domain Adaptation. 8156-8164 - Vincent Lui, Jonathon Geeves, Winston Yii, Tom Drummond
Efficient Subpixel Refinement With Symbolic Linear Predictors. 8165-8173 - Xin Tao
Scale-Recurrent Network for Deep Image Deblurring. 8174-8182 - Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. 8183-8192 - Debang Li
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping. 8193-8201 - Runde Li, Jinshan Pan, Zechao Li, Jinhui Tang
Single Image Dehazing via Conditional Generative Adversarial Network. 8202-8211 - Adrian Galdran
On the Duality Between Retinex and Image Dehazing. 8212-8221 - Shuyang Gu, Congliang Chen, Jing Liao
Arbitrary Style Transfer With Deep Feature Reshuffle. 8222-8231 - Xinyuan Zhang, Xin Yuan
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration. 8232-8241 - Lu Sheng
Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration. 8242-8250 - Tatsuya Yokota
Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space. 8251-8259 - Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang:
Deep Semantic Face Deblurring. 8260-8269 - Yueqi Duan, Ziwei Wang
GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning. 8270-8279 - Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation. 8280-8289 - Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li
Thoracic Disease Identification and Localization With Limited Supervision. 8290-8299 - Xiaowei Xu
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation. 8300-8308 - Christian F. Baumgartner
Visual Feature Attribution Using Wasserstein GANs. 8309-8319 - Hanbyul Joo, Tomas Simon, Yaser Sheikh:
Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies. 8320-8329 - Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation. 8330-8339 - Guha Balakrishnan
Synthesizing Images of Humans in Unseen Poses. 8340-8348 - Jun Liu
SSNet: Scale Selection Network for Online 3D Action Prediction. 8349-8358 - Georgia Gkioxari, Ross B. Girshick, Piotr Dollár, Kaiming He:
Detecting and Recognizing Human-Object Interactions. 8359-8367 - Fadime Sener, Angela Yao:
Unsupervised Learning and Segmentation of Complex Activities From Video. 8368-8376 - Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman:
Unsupervised Training for 3D Morphable Model Regression. 8377-8386 - Thiemo Alldieck
Video Based Reconstruction of 3D People Models. 8387-8397 - Yibo Hu, Xiang Wu, Bing Yu, Ran He, Zhenan Sun:
Pose-Guided Photorealistic Face Rotation. 8398-8406 - Loc Huynh, Weikai Chen, Shunsuke Saito, Jun Xing, Koki Nagano, Andrew Jones, Paul E. Debevec, Hao Li
Mesoscopic Facial Geometry Inference Using Deep Neural Networks. 8407-8416 - Liuhao Ge, Yujun Cai, Junwu Weng, Junsong Yuan
Hand PointNet: 3D Hand Pose Estimation Using Point Sets. 8417-8426 - Arsha Nagrani, Samuel Albanie, Andrew Zisserman:
Seeing Voices and Hearing Faces: Cross-Modal Biometric Matching. 8427-8436 - Helge Rhodin, Jörg Spörri
Learning Monocular 3D Human Pose Estimation From Multi-View Images. 8437-8446 - Yexun Zhang, Ya Zhang
Separating Style and Content for Generalized Style Transfer. 8447-8455 - Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, James Hays:
TextureGAN: Controlling Deep Image Synthesis With Texture Patches. 8456-8465 - Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. 8466-8475 - João F. Henriques, Andrea Vedaldi:
MapNet: An Allocentric Spatial Memory for Mapping Environments. 8476-8484 - Apratim Bhattacharyya, Bernt Schiele
Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective. 8485-8493 - Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, Antonio Torralba:
VirtualHome: Simulating Household Activities via Programs. 8494-8502 - Swami Sankaranarayanan, Yogesh Balaji, Carlos Domingo Castillo, Rama Chellappa:
Generate to Adapt: Aligning Domains Using Generative Adversarial Networks. 8503-8512 - Arnab Ghosh, Viveka Kulharia, Vinay P. Namboodiri
Multi-Agent Diverse Generative Adversarial Networks. 8513-8521 - Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang:
A PID Controller Approach for Stochastic Optimization of Deep Networks. 8522-8531 - Miguel Á. Carreira-Perpiñán, Yerlan Idelbayev
"Learning-Compression" Algorithms for Neural Net Pruning. 8532-8541 - Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin:
Large-Scale Distance Metric Learning With Uncertainty. 8542-8550 - Christian Rupprecht, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari:
Guide Me: Interacting With Deep Networks. 8551-8561 - Valentin Khrulkov, Ivan V. Oseledets:
Art of Singular Vectors and Universal Adversarial Perturbations. 8562-8570 - Aaditya Prakash, Nick Moran, Solomon Garber, Antonella DiLillo, James A. Storer:
Deflecting Adversarial Attacks With Pixel Deflection. 8571-8580 - Paul Vicol, Makarand Tapaswi, Lluís Castrejón, Sanja Fidler:
MovieGraphs: Towards Understanding Human-Centric Situations From Videos. 8581-8590 - Alexander Patrick Mathews, Lexing Xie
SemStyle: Learning to Generate Stylised Image Captions Using Unaligned Text. 8591-8600 - Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions. 8601-8610 - Feng Liu, Tao Xiang, Timothy M. Hospedales, Wankou Yang, Changyin Sun:
IVQA: Inverse Visual Question Answering. 8611-8619 - Albert Pumarola, Antonio Agudo, Alberto Sanfeliu, Francesc Moreno-Noguer:
Unsupervised Person Image Synthesis in Arbitrary Poses. 8620-8628 - Jianwen Xie, Zilong Zheng
Learning Descriptor Networks for 3D Shape Synthesis and Analysis. 8629-8638 - Ruben Villegas, Jimei Yang, Duygu Ceylan, Honglak Lee:
Neural Kinematic Networks for Unsupervised Motion Retargetting. 8639-8648 - Dapeng Chen, Dan Xu, Hongsheng Li
Group Consistent Similarity Learning via Deep CRF for Person Re-Identification. 8649-8658 - Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk:
Learning Compositional Visual Concepts With Mutual Consistency. 8659-8668 - Eunwoo Kim, Chanho Ahn, Songhwai Oh:
NestedNet: Learning Nested Sparse Structures in Deep Neural Networks. 8669-8678 - Kun Ho Kim, Oisin Mac Aodha, Pietro Perona:
Context Embedding Networks. 8679-8687 - Yisen Wang, Weiyang Liu, Xingjun Ma
Iterative Learning With Open-Set Noisy Labels. 8688-8696 - Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc V. Le:
Learning Transferable Architectures for Scalable Image Recognition. 8697-8710 - Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun:
SBNet: Sparse Blocks Network for Fast Inference. 8711-8720 - Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu:
Language-Based Image Editing With Recurrent Attentive Models. 8721-8729 - Ruth Fong, Andrea Vedaldi:
Net2Vec: Quantifying and Explaining How Concepts Are Encoded by Filters in Deep Neural Networks. 8730-8738 - Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong:
End-to-End Dense Video Captioning With Masked Transformer. 8739-8748 - Pelin Dogan, Boyang Li, Leonid Sigal, Markus H. Gross:
A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH). 8749-8758 - Shu Liu, Lu Qi, Haifang Qin
Path Aggregation Network for Instance Segmentation. 8759-8768 - Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie
The INaturalist Species Classification and Detection Dataset. 8769-8778 - Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. 8779-8788 - Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. 8789-8797 - Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro:
High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs. 8798-8807 - Xiaojuan Qi, Qifeng Chen, Jiaya Jia, Vladlen Koltun:
Semi-Parametric Image Synthesis. 8808-8816 - Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogério Schmidt Feris:
BlockDrop: Dynamic Inference Paths in Residual Networks. 8817-8826 - Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu:
Interpretable Convolutional Neural Networks. 8827-8836 - Xin Huang, Yuxin Peng:
Deep Cross-Media Knowledge Transfer. 8837-8846 - Guotian Xie, Jingdong Wang
Interleaved Structured Sparse Convolutional Neural Networks. 8847-8856 - Patrick Esser, Ekaterina Sutter, Björn Ommer:
A Variational U-Net for Conditional Appearance and Shape Generation. 8857-8866 - Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu, Sheng-De Wang, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation. 8867-8876 - Diego Marcos
Learning Deep Structured Active Contours End-to-End. 8877-8885 - John Lambert, Ozan Sener, Silvio Savarese:
Deep Learning Under Privileged Information Using Heteroscedastic Dropout. 8886-8895 - Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang:
Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning. 8896-8905 - Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu:
Interpret Neural Networks by Identifying Critical Data Routing Paths. 8906-8914 - Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos:
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. 8915-8924 - Andrew Shin
Customized Image Narrative Generation via Interactive Visual Question Generation and Answering. 8925-8933 - Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz:
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume. 8934-8943 - Qingnan Fan, Jiaolong Yang
Revisiting Deep Intrinsic Image Decompositions. 8944-8952 - Florence Yellin, Benjamin D. Haeffele, Sophie Roth, René Vidal:
Multi-Cell Detection and Classification Using a Generative Convolutional Model. 8953-8961 - Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang:
Learning Spatial-Aware Regressions for Visual Tracking. 8962-8970 - Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, Xiaolin Hu:
High Performance Visual Tracking With Siamese Region Proposal Network. 8971-8980 - Tak-Wai Hui, Xiaoou Tang, Chen Change Loy:
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation. 8981-8989 - Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao
VITAL: VIsual Tracking via Adversarial Learning. 8990-8999 - Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. 9000-9008 - Tom F. H. Runia, Cees G. M. Snoek, Arnold W. M. Smeulders:
Real-World Repetition Estimation by Div, Grad and Curl. 9009-9017 - Shu Kong
Recurrent Pixel Embedding for Instance Grouping. 9018-9028 - Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective. 9029-9038 - Zhengqi Li, Noah Snavely:
Learning Intrinsic Image Decomposition From Watching the World. 9039-9048 - Xiaosong Wang
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays. 9049-9058 - Brian Teixeira, Vivek K. Singh, Terrence Chen, Kai Ma, Birgi Tamersoy, Yifan Wu, Elena Balashova, Dorin Comaniciu:
Generating Synthetic X-Ray Images of a Person From the Surface Geometry. 9059-9067 - Fei Xia
Gibson Env: Real-World Perception for Embodied Agents. 9068-9079 - Junwei Han, Le Yang, Dingwen Zhang, Xiaojun Chang
Reinforcement Cutting-Agent Learning for Video Object Segmentation. 9080-9089 - Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt
Feature Space Transfer for Data Augmentation. 9090-9098 - Adel Bibi
Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input. 9099-9107 - Faraz Saeedan, Nicolas Weber, Michael Goesele, Stefan Roth:
Detail-Preserving Pooling in Deep Networks. 9108-9116 - Weitao Wan, Yuanyi Zhong, Tianpeng Li, Jiansheng Chen:
Rethinking Feature Distribution for Loss Functions in Image Classification. 9117-9126 - Bichen Wu, Alvin Wan
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. 9127-9135 - Conghui Hu, Da Li, Yi-Zhe Song
Sketch-a-Classifier: Sketch-Based Photo Classifier Generation. 9136-9144 - Anna Alperovich, Ole Johannsen, Michael Strecke
Light Field Intrinsics With a Deep Encoder-Decoder Network. 9145-9154 - Ruiqi Gao, Yang Lu, Junpei Zhou, Song-Chun Zhu, Ying Nian Wu:
Learning Generative ConvNets via Multi-Grid Modeling and Sampling. 9155-9164 - Éloi Mehr, André Lieutier, Fernando Sanchez Bermudez, Vincent Guitteny, Nicolas Thome, Matthieu Cord:
Manifold Learning in Quotient Spaces. 9165-9174 - Ksenia Konyushkova, Jasper R. R. Uijlings, Christoph H. Lampert, Vittorio Ferrari:
Learning Intelligent Dialogs for Bounding Box Annotation. 9175-9184 - Yinpeng Dong, Fangzhou Liao, Tianyu Pang
Boosting Adversarial Attacks With Momentum. 9185-9193 - Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis:
NISP: Pruning Networks Using Neuron Importance Score Propagation. 9194-9203 - Truc Le, Ye Duan:
PointGrid: A Deep Network for 3D Shape Understanding. 9204-9214 - Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu:
Tell Me Where to Look: Guided Attention Inference Network. 9215-9223 - Benjamin Graham, Martin Engelcke, Laurens van der Maaten:
3D Semantic Segmentation With Submanifold Sparse Convolutional Networks. 9224-9232 - Guanying Chen
TOM-Net: Learning Transparent Object Matting From a Single Image. 9233-9241 - Zizhao Zhang, Lin Yang, Yefeng Zheng
Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network. 9242-9251 - Guha Balakrishnan
An Unsupervised Learning Model for Deformable Medical Image Registration. 9252-9260 - Ke Yan, Xiaosong Wang
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. 9261-9270 - Alexandre Bône
Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms. 9271-9280 - Pingge Jiang, James A. Shackleford:
CNN Driven Sparse Multi-Level B-Spline Image Registration. 9281-9289 - Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu:
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. 9290-9299 - Carolina Raposo
3D Registration of Curves and Surfaces Using Local Differential Information. 9300-9308 - Juan C. Caicedo, Claire McQuin, Allen Goodman, Shantanu Singh, Anne E. Carpenter
Weakly Supervised Learning of Single-Cell Feature Embeddings. 9309-9318 - Daniel Haehn
Guided Proofreading of Automatic Segmentations for Connectomics. 9319-9328 - Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal
Wide Compression: Tensor Ring Nets. 9329-9338 - T. Nathan Mundhenk
Improvements to Context Based Self-Supervised Learning. 9339-9348 - Rohit Keshari
Learning Structure and Strength of CNN Filters for Small Sample Size Training. 9349-9358 - Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash:
Boosting Self-Supervised Learning via Knowledge Transfer. 9359-9367 - William H. Beluch, Tim Genewein, Andreas Nürnberger
The Power of Ensembles for Active Learning in Image Classification. 9368-9377 - Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu:
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition. 9378-9387 - Domen Tabernik, Matej Kristan, Ales Leonardis:
Spatially-Adaptive Filter Units for Deep Neural Networks. 9388-9396 - Jiaxin Li, Ben M. Chen, Gim Hee Lee:
SO-Net: Self-Organizing Network for Point Cloud Analysis. 9397-9406 - Tatjana Chavdarova
SGAN: An Alternative Training of Generative Adversarial Networks. 9407-9415 - Wengling Chen, James Hays:
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis. 9416-9425 - Aojun Zhou, Anbang Yao, Kuan Wang, Yurong Chen
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks. 9426-9435 - Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam
Towards Universal Representation for Unseen Action Recognition. 9436-9445 - Dmitry Ulyanov, Andrea Vedaldi, Victor S. Lempitsky:
Deep Image Prior. 9446-9454 - Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, Simon Lucey
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing. 9455-9464 - Yang Chen, Yu-Kun Lai, Yong-Jin Liu:
CartoonGAN: Generative Adversarial Networks for Photo Cartoonization. 9465-9474
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