10 citations · 10 across the 4 of their papers we have counts for
6 papers
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…
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…
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…
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…
Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss
Yi-Jun Cao, Chuan Lin, Yong-Jie Li
Significant progress has been made in boundary detection with the help of convolutional neural networks. Recent boundary detection models not only focus on real object boundary det…
Line Drawings of Natural Scenes Guide Visual Attention
Kai-Fu Yang, Wen-Wen Jiang, Teng-Fei Zhan +1
Visual search is an important strategy of the human visual system for fast scene perception. The guided search theory suggests that the global layout or other top-down sources of s…