Papers
TextureGAN: Controlling Deep Image Synthesis With Texture Patches
Wenqi Xian, Patsorn Sangkloy, Varun Agrawal et al.
Texture Mapping for 3D Reconstruction With RGB-D Sensor
Yanping Fu, Qingan Yan, Long Yang et al.
The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation
Pia Bideau, Aruni RoyChowdhury, Rakesh R. Menon et al.
The INaturalist Species Classification and Detection Dataset
Grant Van Horn, Oisin Mac Aodha, Yang Song et al.
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks
Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko
The Perception-Distortion Tradeoff
Yochai Blau, Tomer Michaeli
The Power of Ensembles for Active Learning in Image Classification
William H. Beluch, Tim Genewein, Andreas Nürnberger et al.
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A. Efros et al.
Thoracic Disease Identification and Localization With Limited Supervision
Zhe Li, Chong Wang, Mei Han et al.
Through-Wall Human Pose Estimation Using Radio Signals
Mingmin Zhao, Tianhong Li, Mohammad Abu Alsheikh et al.
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays
Xiaosong Wang, Yifan Peng, Le Lu et al.
Time-Resolved Light Transport Decomposition for Thermal Photometric Stereo
Kenichiro Tanaka, Nobuhiro Ikeya, Tsuyoshi Takatani et al.
Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge
Damien Teney, Peter Anderson, Xiaodong He et al.
TOM-Net: Learning Transparent Object Matting From a Single Image
Guanying Chen, Kai Han, Kwan-Yee K. Wong
Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies
Hanbyul Joo, Tomas Simon, Yaser Sheikh
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning
Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu et al.
Towards Dense Object Tracking in a 2D Honeybee Hive
Katarzyna Bozek, Laetitia Hebert, Alexander S. Mikheyev et al.
Towards Effective Low-Bitwidth Convolutional Neural Networks
Bohan Zhuang, Chunhua Shen, Mingkui Tan et al.
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
Peihua Li, Jiangtao Xie, Qilong Wang et al.
Towards High Performance Video Object Detection
Xizhou Zhu, Jifeng Dai, Lu Yuan et al.
Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection
Keze Wang, Xiaopeng Yan, Dongyu Zhang et al.
Towards Open-Set Identity Preserving Face Synthesis
Jianmin Bao, Dong Chen, Fang Wen et al.
Towards Pose Invariant Face Recognition in the Wild
Jian Zhao, Yu Cheng, Yan Xu et al.
Towards Universal Representation for Unseen Action Recognition
Yi Zhu, Yang Long, Yu Guan et al.