52 citations · 60 across the 5 of their papers we have counts for
5 papers · 1 filter
Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition
Xiao Wang, Yao Rong, Shiao Wang +5
Pattern recognition based on RGB-Event data is a newly arising research topic and previous works usually learn their features using CNN or Transformer. As we know, CNN captures the…
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…