报告题目：Multi-task Deep Learning for Human Action Parsing

报告人：邵岭(Ling Shao) 博士, Chair Professor, Fellow of IET

单位：Northumbria University

报告时间：2016年9月1日(周四)下午14:30-16:00

报告地点：屯溪路校区逸夫楼408会议室

报告摘要：Automatically recognizing objects, scenes and actions is a core component of an artificial intelligence system. In this talk, I will cover two of my main research areas – human action recognition and deep learning. Action recognition has been an active research topic in computer vision due to its various applications in human-machine interaction, robotics, video surveillance and visual big data search. I will first review some related work on handcrafted features, feature/deep learning and attributes learning. Then I will introduce our recent multi-task system that can jointly solve three main problems: 1) Where in the video do the actions occur? (2) What categories do the actions belong to? and (3) How are these actions performed? This multi-task learning framework is designed based on a state-of-the-art 3D deep convolutional neural network (3D-CNN). Specifically, in the training phase, action localization, classification and attributes learning can be jointly optimized via the proposed deep architecture. Once model training is completed, given an upcoming test video, we can describe each individual action in the video simultaneously as: where the action occurs, what the action is and how the action is performed. To train the deep network, we also introduce a new large-scale aligned action dataset, NASA, with 200K well labeled video clips. Finally, I will present the results of detailed action parsing on challenging, realistic datasets that are collected by us or publicly available. Some initial results on zero-shot learning via the obtained action attributes will be discussed too.

报告人简介：邵岭教授于中国科学技术大学获得学士学位，在英国牛津大学获得硕士和博士学位。邵岭教授在学术界和工业界有着丰富的工作经验，现任英国Northumbria University 计算机与信息科学系首席教授，并将于2016年11月份加盟University of East Anglia任计算机系首席教授。邵岭教授在计算机视觉、图像/视频处理、模式识别与机器学习领域取得了丰硕的研究成果，在PAMI、TIP、TNNLS、IJCV等顶尖国际期刊和CVPR、ICCV、ECCV、MM、IJCAI等顶尖国际会议发表论文超过200篇，并拥有超过10项美国/欧盟专利。邵岭教授目前担任TNNLS、TIP、TCSVT、ToC等顶尖期刊的副主编，同时也是ICPR、BMVC、ICME等著名国际会议领域主席，ICCV、CVPR、ECCV、MM等顶尖会议程序委员会委员。邵岭教授是IET学会会士、英国计算机学会会士、IEEE高级会员、ACM终身会员。

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