6 citations · 7 across the 3 of their papers we have counts for
4 papers
Label Decoupling Framework for Salient Object Detection
Jun Wei, Shuhui Wang, Zhe Wu +3
To get more accurate saliency maps, recent methods mainly focus on aggregating multi-level features from fully convolutional network (FCN) and introducing edge information as auxil…
VideoSSL: Semi-Supervised Learning for Video Classification
Longlong Jing, Toufiq Parag, Zhe Wu +2
We propose a semi-supervised learning approach for video classification, VideoSSL, using convolutional neural networks (CNN). Like other computer vision tasks, existing supervised…
Automatic Long-Term Deception Detection in Group Interaction Videos
Chongyang Bai, Maksim Bolonkin, Judee Burgoon +5
Most work on automated deception detection (ADD) in video has two restrictions: (i) it focuses on a video of one person, and (ii) it focuses on a single act of deception in a one o…
Soft Sampling for Robust Object Detection
Zhe Wu, Navaneeth Bodla, Bharat Singh +3
We study the robustness of object detection under the presence of missing annotations. In this setting, the unlabeled object instances will be treated as background, which will gen…