2 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
Dynamic Pattern Alignment Learning for Pretraining Lightweight Human-Centric Vision Models
Xuanhan Wang, Huimin Deng, Ke Liu +3
Human-centric vision models (HVMs) have achieved remarkable generalization due to large-scale pretraining on massive person images. However, their dependence on large neural archit…
Learning Generalizable and Efficient Image Watermarking via Hierarchical Two-Stage Optimization
Ke Liu, Xuanhan Wang, Qilong Zhang +2
Deep image watermarking, which refers to enabling imperceptible watermark embedding and reliable extraction in cover images, has been shown to be effective for copyright protection…
Image change detection with only a few samples
Ke Liu, Zhaoyi Song, Haoyue Bai
This paper considers image change detection with only a small number of samples, which is a significant problem in terms of a few annotations available. A major impediment of image…
Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies
Xin Jin, Zhonglan Li, Ke Liu +6
In industry, there exist plenty of scenarios where old gray photos need to be automatically colored, such as video sites and archives. In this paper, we present the HistoryNet focu…