Weakly Supervised Image and Video Interpretation
讲座名称：
Weakly Supervised Image and Video Interpretation
讲座时间：
2015-10-23
讲座人：
Jean Ponce
形式：
校区：
兴庆校区
实践学分：
讲座内容：
应数学与统计学院邀请，法国巴黎高等师范学院和法国国家信息与自动化研究院Jean Ponce教授到我校访问并作学术报告
报告题目: Weakly Supervised Image and Video Interpretation
报告时间：10月23日（周五）下午3:00-5:00
报告地点：科学馆207
报告人简介：
Jean Ponce教授是计算机视觉领域著名专家。2005年之前先后在麻省理工学院、斯坦福大学工作，并在伊利诺伊大学香槟分校获终身教授职位。现任法国巴黎高等师范学院计算机系主任，法国国立信息与自动化研究院（INRIA）Willow项目组主任。他发表了超过120篇计算机视觉和机器人方面的论文， 并编写了著名的计算机视觉教材《计算机视觉：一种现代方法》。他是IEEE Fellow, 在2003~2008年担任IJCV（International Journal of Computer Vision）主编， 并任1997年和2000年两届CVPR（ IEEE Conference on Computer Vision and Pattern Recognition）大会主席，以及2008年ECCV (European Conference on Computer Vision )大会主席。
报告摘要：
This talk addresses the problem of understanding the visual content of images and videos using a weak form of supervision, such as the fact that multiple images contain instances of the same objects, or the textual information available in television or film scripts. I will discuss several instances of this problem, including multi-class image cosegmentation, the joint localization and identification of movie characters and their actions, and the assignment of action labels to video frames using temporal ordering constraints. All these problems can be tackled using a discriminative clustering framework, and I will present the underlying models, appropriate relaxations of the corresponding combinatorial optimization problems associated with learning these models, and efficient algorithms for solving the corresponding convex optimization problems. I will also present experimental results on standard image benchmarks and feature-length films.
相关视频