262 citations · 1.7k across the 63 of their papers we have counts for
5 papers · 2 filters
Semantically Contrastive Learning for Low-light Image Enhancement
Dong Liang, Ling Li, Mingqiang Wei +5
Low-light image enhancement (LLE) remains challenging due to the unfavorable prevailing low-contrast and weak-visibility problems of single RGB images. In this paper, we respond to…
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics
Wenhan Yang, Haofeng Huang, Yueyu Hu +2
Video Coding for Machines (VCM) is committed to bridging to an extent separate research tracks of video/image compression and feature compression, and attempts to optimize compactn…
Revisit Visual Representation in Analytics Taxonomy: A Compression Perspective
Yueyu Hu, Wenhan Yang, Haofeng Huang +1
Visual analytics have played an increasingly critical role in the Internet of Things, where massive visual signals have to be compressed and fed into machines. But facing such big…
HLA-Face: Joint High-Low Adaptation for Low Light Face Detection
Wenjing Wang, Wenhan Yang, Jiaying Liu
Face detection in low light scenarios is challenging but vital to many practical applications, e.g., surveillance video, autonomous driving at night. Most existing face detectors h…
Camera Invariant Feature Learning for Generalized Face Anti-spoofing
Baoliang Chen, Wenhan Yang, Haoliang Li +2
There has been an increasing consensus in learning based face anti-spoofing that the divergence in terms of camera models is causing a large domain gap in real application scenario…