Papers
VRSTC: Occlusion-Free Video Person Re-Identification
Ruibing Hou, Bingpeng Ma, Hong Chang et al.
WarpGAN: Automatic Caricature Generation
Yichun Shi, Debayan Deb, Anil K. Jain
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up
Weifeng Ge, Xiangru Lin, Yizhou Yu
Weakly Supervised Deep Image Hashing Through Tag Embeddings
Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation
Xipeng Chen, Kwan-Yee Lin, Wentao Liu et al.
Weakly Supervised Image Classification Through Noise Regularization
Mengying Hu, Hu Han, Shiguang Shan et al.
Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations
Jiwoon Ahn, Sunghyun Cho, Suha Kwak
Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration
Shuhan Tan, Jiening Jiao, Wei-Shi Zheng
Weakly Supervised Person Re-Identification
Jingke Meng, Sheng Wu, Wei-Shi Zheng
Weakly Supervised Video Moment Retrieval From Text Queries
Niluthpol Chowdhury Mithun, Sujoy Paul, Amit K. Roy-Chowdhury
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
Paritosh Parmar, Brendan Tran Morris
What Correspondences Reveal About Unknown Camera and Motion Models?
Thomas Probst, Ajad Chhatkuli, Danda Pani Paudel et al.
What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?
Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera et al.
What Do Single-View 3D Reconstruction Networks Learn?
Maxim Tatarchenko, Stephan R. Richter, Rene Ranftl et al.
What Object Should I Use? - Task Driven Object Detection
Johann Sawatzky, Yaser Souri, Christian Grund et al.
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions
Ehsan Abbasnejad, Qi Wu, Qinfeng Shi et al.
When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images
Mahmoud Afifi, Brian Price, Scott Cohen et al.
Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection
Philippe Burlina, Neil Joshi, I-Jeng Wang
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem
Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs
Qi Zhang, Antoni B. Chan
Wide-Context Semantic Image Extrapolation
Yi Wang, Xin Tao, Xiaoyong Shen et al.
World From Blur
Jiayan Qiu, Xinchao Wang, Stephen J. Maybank et al.
X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks
Xingde Ying, Heng Guo, Kai Ma et al.
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs
Zhourong Chen, Yang Li, Samy Bengio et al.