|  | Visual Computation @ UESTC | ||
| Brain-inspired Computer Vision, Computational NeurosicenceColor Constancy, Enhancement, Segmentation, Contour, Saliency | |||
| Our research is aimed at developing computational models for understanding of the visual mechanisms and the application in computer vision. The research interests include: Image Restoration and Enhancement: To develop a computational models based on the mechanisms of retina, LGN and V1 neurons and the applications in image denoising, dehazing, enhancement, color constancy, etc. Image Segmentation: Computational models of image segmentation, contour detection, salient object detection, etc., inspired by corresponding mechanisms in primary visual cortex Computational Neurosicence: Computational neural mechanism of visual system, perceptual decision making and working memory. Focus on multiple-choice decision making, the neural circuit for value-based decision making, and the information encoding in primary visual cortex. | |||
| Publications: | |||
|  | "A Unified Framework for Salient Structure Detection by Contour-Guided Visual Search". TIP, 2016 Kai-Fu Yang, Hui Li, Chao-Yi Li, Yong-Jie Li* | ||
|  | "A Retinal Mechanism Inspired Color Constancy Model". TIP, 2016 Xian-Shi Zhang, Shao-Bing Gao, Ruo-Xuan Li, Xin-Yu Du, Chao-Yi Li, and Yong-Jie Li* | ||
|  | "A Retina Inspired Model for Enhancing Visibility of Hazy Images". Frontiers in Computational Neuroscience, 2015 Xian-Shi Zhang, Shao-Bing Gao, Chao-Yi Li, and Yong-Jie Li* | ||
|  | "Efficient Illuminant Estimation for Color Constancy Using Grey Pixels".CVPR, 2015 Kai-Fu Yang, Shao-Bing Gao, Yong-Jie Li* | ||
|  | "Color Constancy Using Double-Opponency", PAMI, 2015. (accepted). "A Color Constancy Model with Double-Opponency Mechanisms", ICCV, 2013. (Oral, acceptance rate: 2.52%) Shao-Bing Gao, Kai-Fu Yang, Chao-Yi Li, Yong-Jie Li* | ||
|  | " Boundary Detection Using Double-Opponency and Spatial Sparseness Constraint", TIP, 2015 "Efficient Color Boundary Detection with Color-opponent Mechanisms", CVPR,2013. Kai-Fu Yang, Shao-Bing Gao, Ce-Feng Guo, Chao-Yi Li, Yong-Jie Li* | ||
|  | "Multifeature-based Surround Inhibition Improves Contour Detection in Natural Images", TIP, 2014. Kai-Fu Yang, Chao-Yi Li, and Yong-Jie Li* | ||
| "Efficient Color Constancy with Local Surface Reflectance Statistics", ECCV, 2014. Shaobing Gao, Wangwang Han, Kaifu Yang, Chaoyi Li, Yongjie Li* | |||
| "Center-surround interaction with adaptive Inhibition: a computational model for contour detection", NeuroImage, 55(1), 49–66, 2011. Chi Zeng, Yongjie Li*, Chaoyi Li | |||
| Back to ViCBiC Research Page | |||
| latest update:14-Feb-2016 | |||