专题侠客群论剑-20150902

【15-28期VALSE Webinar活动】

报告嘉宾1李永杰(电子科技大学)
主持人彭玺(A*STAR)
报告时间:2015年9月2日周三晚20:00(北京时间)
报告题目:Image Processing Models Inspired by Two Kinds of Double-Opponent Neurons in the Primary Visual Cortex [Slides]
文章信息
[1] Kaifu Yang, Shaobing Gao, Chaoyi Li, Yongjie Li*, Efficient Color Boundary Detection with Color-opponent Mechanisms, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013, pp2810-2817.
[2] Shaobing Gao, Kaifu Yang, Chaoyi Li, Yongjie Li*, A Color Constancy Model with Double-Opponency Mechanisms, IEEE International Conference on Computer Vision (ICCV), 2013, pp929-936 (oral paper).
[3] Shaobing Gao, Kaifu Yang, Chaoyi Li, Yongjie Li*, Color Constancy Using Double-Opponency, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 (accepted). (DOI: 10.1109/TPAMI.2015.2396053)
[4] Kai-Fu Yang, Shao-Bing Gao, Ce-Feng Guo, Chao-Yi Li, and Yong-Jie Li*, Boundary Detection Using Double-Opponency and Spatial Sparseness Constraint, IEEE Transactions on Image Processing, 2015, 24(8): 2565-2578.
报告摘要:In this talk I will try to explain the functional roles of several types of color-opponent cells in the primary visual cortex (V1) from the computational view of point. In particular, I will talk about a computational framework based on the color-opponent mechanisms of a certain type of color sensitive double-opponent (DO) cells in V1. This type of DO cells has oriented receptive field (RF) with both chromatically and spatially opponent structure. Experimental results show that this type of DO cells can flexibly capture both the structured chromatic and achromatic boundaries of salient objects in complex scenes when the cone inputs to DO cells are unbalanced. In addition, I will also talk about another computational framework by simulating another type of DO cells in V1 whose RFs have concentrically organized center-surround structure and are both spectrally and spatially opponent. Experimental results show that the color distribution of the responses of such type of DO cells to the color-biased images coincides well with the vector denoting the light source color. Then the illuminant color can be easily estimated by pooling the responses of DO cells. With the illuminant estimate, color constancy is easily achieved for the color-biased images.
报告人简介:Yongjie Li (李永杰) is currently a professor with the School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC, 电子科技大学). He was a visiting scholar at Dept of Neuroscience, Columbia University during Sept, 2009 ~ Sept, 2010. He is a principal investigator of 4 research projects sponsored by NSFC of China and 973 Projects. Before joining UESTC, He received his Ph.D. Degree in biomedical engineering from UESTC, Chengdu, China, in June 2004. His current research interest focuses on the modeling of the information processing mechanisms of biological vision and its applications in computer vision (e.g., image/video processing). He has so far published more than 60 international journal papers (e.g., Neuroimage, Frontier in Neural circuits, IEEE Trans PAMI, IEEE Trans IP, IEEE Trans BME), conference papers (e.g., ICCV/CVPR/ECCV, including 1 ICCV oral paper) and book chapters, covering such topics as modeling of light/dark adaptation, non-classical receptive fields, color constancy, selective attention, etc., and their applications in image enhancement, denosing, dehazing, high-dynamic range image rendering, color correction, contour detection, image segmentation, saliency detection, etc. He holds 17 Chinese patents (10 granted, 7 pending).

报告嘉宾2何晖光 (中国科学院自动化所)
主持人禹之鼎(CMU)
报告时间:2015年9月2日周三晚21:00(北京时间)
报告题目:基于多模态影像的弱视患者脑结构和功能的研究 [Slides]
文章信息
[1] Lv B, He H, Li X, Zhang Z, Huang W, Li M, Lu G., Structural and functional deficits in human amblyopia. Neurosci Lett., 2008 May 23, 437 (1): 5-9.
[2] Jieqiong Wang; Ling Hu; Wenjing Li; Junfang Xian; Likun Ai; Huiguang He,Alternations of functional connectivity in amblyopia patients: a resting-state fMRI study. Proc. SPIE 9038, Medical Imaging 2014: doi: 10.1117/12.2043424. (Oral)
报告摘要:在本报告中,将首先介绍我们组在医学影像计算与分析方面的一些工作,接下来主要具体介绍我们在弱视方面的研究工作。弱视是一种发育性疾病,其发病机制非常复杂,直到现在人们对视觉发育早期的认识还很不充分,尤其对于关键期内视觉发育紊乱造成大脑皮层结构和功能的改变,仍需更进一步了解。对弱视患者视觉组织的结构与功能的深入研究将有助于对弱视机理的认识,推动弱视神经机制的基础研究,有助于弱视的诊断和治疗。
报告人简介:何晖光,中国科学院自动化研究所研究员,博士生导师。美国电气与电子工程师协会(IEEE)高级会员。分别于1994年(本科),1997年(硕士)毕业于大连海事大学,1997-1999在大连海事大学科研院从事教学与科研工作;2002年在中国科学院自动化研究获博士学位,同年留所工作。2003-2004期间在美国罗切斯特大学放射系做博士后研究,2008年1-3月,在加拿大滑铁卢大学做高级研究学者, 2014.10-2015.4在美国北卡大学教堂山分校做访问教授。何晖光博士先后主持了多项国家自然科学基金、863项目的研究,获得国家科技进步二等奖两项(分别排名第二、第三),北京市科技进步奖两项,2004年获中科院首届优秀博士论文奖,2007年被评为北京市科技新星,2009年获得中科院”卢嘉锡青年人才奖”,2011年入选中科院青年人才促进会。自2004年起先后担任国家自然科学基金, 国家863计划以及科技部国际合作项目的评审专家。其研究领域为脑与认知科学,模式识别,医学影像处理,脑-机接口,计算机图形学等, 其研究结果在NeuroImage, Human Brain Mapping, Brain Research, AJNR,MICCAI等相关领域的国内外核心期刊以及国际主流会议上发表文章八十余篇。

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