2 citations · 3 across the 4 of their papers we have counts for
4 papers
Joker: Joint Optimization Framework for Lightweight Kernel Machines
Junhong Zhang, Zhihui Lai
Kernel methods are powerful tools for nonlinear learning with well-established theory. The scalability issue has been their long-standing challenge. Despite the existing success, t…
Precise Facial Landmark Detection by Dynamic Semantic Aggregation Transformer
Jun Wan, He Liu, Yujia Wu +3
At present, deep neural network methods have played a dominant role in face alignment field. However, they generally use predefined network structures to predict landmarks, which t…
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study
Xu Wu, Zhihui Lai, Zhou Jie +4
Low-light images are commonly encountered in real-world scenarios, and numerous low-light image enhancement (LLIE) methods have been proposed to improve the visibility of these ima…
CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement
Xu Wu, XianXu Hou, Zhihui Lai +4
Low-light image enhancement (LLIE) aims to improve low-illumination images. However, existing methods face two challenges: (1) uncertainty in restoration from diverse brightness de…