activity
20152026
most citedLearning to Adapt to Light

64 citations · 164 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2026

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…

cs.CV2025

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…

q-bio.NC2024

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…

cs.CV2023

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…

cs.CV2022★ 3 cited

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…

cs.CV2022★ 64 cited

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…

cs.CV2021★ 10 cited

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…

cs.CV2020★ 1 cited

A Unified Structure for Efficient RGB and RGB-D Salient Object Detection

Peng Peng, Yong-Jie Li

Salient object detection (SOD) has been well studied in recent years, especially using deep neural networks. However, SOD with RGB and RGB-D images is usually treated as two differ…

cs.CV2019

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…

cs.CV2016★ 48 cited

Improving Color Constancy by Discounting the Variation of Camera Spectral Sensitivity

Shao-Bing Gao, Ming Zhang, Chao-Yi Li +1

It is an ill-posed problem to recover the true scene colors from a color biased image by discounting the effects of scene illuminant and camera spectral sensitivity (CSS) at the sa…

cs.CV2015★ 38 cited

Salient Structure Detection by Context-Guided Visual Search

Kai-Fu Yang, Hui Li, Chao-Yi Li +1

We define the task of salient structure (SS) detection to unify the saliency-related tasks like fixation prediction, salient object detection, and other detection of structures of…