5 citations · 6 across the 4 of their papers we have counts for
5 papers · 1 filter
Bio-inspired Color Constancy: From Gray Anchoring Theory to Gray Pixel Methods
Kai-Fu Yang, Fu-Ya Luo, Yong-Jie Li
Color constancy is a fundamental ability of many biological visual systems and a crucial step in computer imaging systems. Bio-inspired modeling offers a promising way to elucidate…
Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation
Yijun Cao, Fuya Luo, Yongjie Li
Unsupervised monocular depth learning generally relies on the photometric relation among temporally adjacent images. Most of previous works use both mean absolute error (MAE) and s…
Weak Supervision with Arbitrary Single Frame for Micro- and Macro-expression Spotting
Wang-Wang Yu, Xian-Shi Zhang, Fu-Ya Luo +4
Frame-level micro- and macro-expression spotting methods require time-consuming frame-by-frame observation during annotation. Meanwhile, video-level spotting lacks sufficient infor…
Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning
Fu-Ya Luo, Shu-Lin Liu, Yi-Jun Cao +4
Stable imaging in adverse environments (e.g., total darkness) makes thermal infrared (TIR) cameras a prevalent option for night scene perception. However, the low contrast and lack…
Thermal Infrared Image Colorization for Nighttime Driving Scenes with Top-Down Guided Attention
Fuya Luo, Yunhan Li, Guang Zeng +3
Benefitting from insensitivity to light and high penetration of foggy environments, infrared cameras are widely used for sensing in nighttime traffic scenes. However, the low contr…