64 citations · 84 across the 8 of their papers we have counts for
9 papers
Visual Attention Graph
Kai-Fu Yang, Yong-Jie Li
Visual attention plays a critical role when our visual system executes active visual tasks by interacting with the physical scene. However, how to encode the visual object relation…
PESFormer: Boosting Macro- and Micro-expression Spotting with Direct Timestamp Encoding
Wang-Wang Yu, Kai-Fu Yang, Xiangrui Hu +3
The task of macro- and micro-expression spotting aims to precisely localize and categorize temporal expression instances within untrimmed videos. Given the sparse distribution and…
Gray Anchoring: a New Computational Theory for Biological Color Constancy
Kai-Fu Yang, Dajun Xing, Yong-Jie Li
It is still challenging for computer vision to imitate human color perception, e.g., color constancy, which is a fundamental perceptual ability in humans to perceive, interpret and…
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…
Weakly-supervised Micro- and Macro-expression Spotting Based on Multi-level Consistency
Wang-Wang Yu, Kai-Fu Yang, Hong-Mei Yan +1
Most micro- and macro-expression spotting methods in untrimmed videos suffer from the burden of video-wise collection and frame-wise annotation. Weakly-supervised expression spotti…
Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization
Fu-Ya Luo, Yi-Jun Cao, Kai-Fu Yang +1
Nighttime thermal infrared (NTIR) image colorization, also known as translation of NTIR images into daytime color images (NTIR2DC), is a promising research direction to facilitate…
Learning to Adapt to Light
Kai-Fu Yang, Cheng Cheng, Shi-Xuan Zhao +2
Light adaptation or brightness correction is a key step in improving the contrast and visual appeal of an image. There are multiple light-related tasks (for example, low-light enha…
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment
Yijun Cao, Xianshi Zhang, Fuya Luo +2
Recent visual odometry (VO) methods incorporating geometric algorithm into deep-learning architecture have shown outstanding performance on the challenging monocular VO task. Despi…