Papers
Visual to Sound: Generating Natural Sound for Videos in the Wild
Yipin Zhou, Zhaowen Wang, Chen Fang et al.
VITAL: VIsual Tracking via Adversarial Learning
Yibing Song, Chao Ma, Xiaohe Wu et al.
VITON: An Image-Based Virtual Try-On Network
Xintong Han, Zuxuan Wu, Zhe Wu et al.
VizWiz Grand Challenge: Answering Visual Questions From Blind People
Danna Gurari, Qing Li, Abigale J. Stangl et al.
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou, Oncel Tuzel
W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection
Yongqiang Zhang, Yancheng Bai, Mingli Ding et al.
Wasserstein Introspective Neural Networks
Kwonjoon Lee, Weijian Xu, Fan Fan et al.
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
Hao-Shu Fang, Guansong Lu, Xiaolin Fang et al.
Weakly Supervised Action Localization by Sparse Temporal Pooling Network
Phuc Nguyen, Ting Liu, Gautam Prasad et al.
Weakly-Supervised Action Segmentation With Iterative Soft Boundary Assignment
Li Ding, Chenliang Xu
Weakly Supervised Coupled Networks for Visual Sentiment Analysis
Jufeng Yang, Dongyu She, Yu-Kun Lai et al.
Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation
Yong Zhang, Weiming Dong, Bao-Gang Hu et al.
Weakly Supervised Facial Action Unit Recognition Through Adversarial Training
Guozhu Peng, Shangfei Wang
Weakly Supervised Instance Segmentation Using Class Peak Response
Yanzhao Zhou, Yi Zhu, Qixiang Ye et al.
Weakly Supervised Learning of Single-Cell Feature Embeddings
Juan C. Caicedo, Claire McQuin, Allen Goodman et al.
Weakly Supervised Phrase Localization With Multi-Scale Anchored Transformer Network
Fang Zhao, Jianshu Li, Jian Zhao et al.
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
Xiang Wang, Shaodi You, Xi Li et al.
Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing
Zilong Huang, Xinggang Wang, Jiasi Wang et al.
Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification
Li Niu, Ashok Veeraraghavan, Ashutosh Sabharwal
What Do Deep Networks Like to See?
Sebastian Palacio, Joachim Folz, Jörn Hees et al.
What Have We Learned From Deep Representations for Action Recognition?
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes et al.
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets
De-An Huang, Vignesh Ramanathan, Dhruv Mahajan et al.
When Will You Do What? - Anticipating Temporal Occurrences of Activities
Yazan Abu Farha, Alexander Richard, Juergen Gall
Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks
Ping Wei, Yang Liu, Tianmin Shu et al.
Who Let the Dogs Out? Modeling Dog Behavior From Visual Data
Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon et al.