148 citations · 246 across the 17 of their papers we have counts for
42 papers
Neural Data-Dependent Transform for Learned Image Compression
Dezhao Wang, Wenhan Yang, Yueyu Hu +1
Learned image compression has achieved great success due to its excellent modeling capacity, but seldom further considers the Rate-Distortion Optimization (RDO) of each input image…
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…
Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos
Sijie Song, Xudong Lin, Jiaying Liu +2
In this paper, we address the problem of referring expression comprehension in videos, which is challenging due to complex expression and scene dynamics. Unlike previous methods wh…
Progressive residual learning for single image dehazing
Yudong Liang, Bin Wang, Jiaying Liu +3
The recent physical model-free dehazing methods have achieved state-of-the-art performances. However, without the guidance of physical models, the performances degrade rapidly when…