学　术

　　人力资源部教师发展中心开展“学者论坛”系列活动，定期邀请国内外知名专家学者、国家级教学名师等作专题报告，旨在加强广大师生的学术思想交流和碰撞，促进青年教师成长，开拓学生视野。现将第42期论坛安排如下，欢迎广大师生参加。

　　一、主　题：Visual Domain Adaptation

　　二、主讲人：The University of Sydney, Australia  徐东 教授

　　三、时　间：11月29日（周二）上午9: 30

　　四、地　点：清水河校区经管楼宾诺咖啡

　　五、主持人：计算机学院　徐增林 教授

　　六、内容简介

　　Domain adaptation (also called transfer learning) is an emerging research topic in computer vision. In some vision applications, the domain of interest (i.e., the target domain) contains very few or even no labelled samples, while an existing domain (i.e., the auxiliary domain) is often available with a large number of labeled examples. For example, millions of loosely labeled Flickr photos or YouTube videos can be readily obtained by using keywords based search. On the other hand, users may be interested in retrieving and organizing their own multimedia collections of images and videos at the semantic level, but may be reluctant to put forth the effort to annotate their photos and videos by themselves. This problem becomes furthermore challenging because the feature distributions of training samples from the web domain and consumer domain may differ tremendously in statistical properties. To explicitly cope with the feature distribution mismatch for the samples from different domains, in this talk I will describe our SVM based approaches for domain adaptation under different settings as well as their interesting applications in computer vision.

　　七、主讲人简介

　　Dong Xu is Chair in Computer Engineering at the School of Electrical and Information Engineering, The University of Sydney, Australia. He received the B.Eng. and PhD degrees from University of Science and Technology of China, in 2001 and 2005, respectively. While pursuing the PhD degree, he worked at Microsoft Research Asia and The Chinese University of Hong Kong for more than two years. He also worked as a postdoctoral research scientist at Columbia University from 2006 to 2007 and a faculty member at Nanyang Technological University from 2007 to 2015.

　　His current research interests include computer vision, multimedia, machine learning and biomedical image analysis. His group has developed new machine learning methods for various vision and multimedia related applications including Internet vision and social media (e.g., large scale image/video retrieval), biometrics, video analysis and medical image analysis. He has published more than 100 papers in IEEE Transactions and top tier conferences including CVPR, ICCV, ECCV, ICML, ACM MM and MICCAI. His co-authored work (with his former PhD student Lixin Duan) received the Best Student Paper Award in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) in 2010. His co-authored work (with his former PhD student Lin Chen) won the IEEE Transactions on Multimedia Prize Paper Award in 2014. He is also awarded the IEEE Computational Intelligence Society (CIS) Outstanding Early Career Award in 2017. He is on the editorial boards of T-PAMI, T-MM and T-CSVT. He also served as a guest editor of seven special issues in T-NNLS, T-CYB, T-CSVT, IJCV, ACM TOMM, CVIU and IEEE Multimedia. Moreover, he served as a program co-chair of IEEE Signal and Data Science Forum sponsored by IEEE Signal Processing Society (also known as ChinaSIP 2016), a program co-chair of ICME 2014, a program co-chair of PCM 2012, a plenary & panel co-chair of MMSP 2016, a tutorial co-chair of VCIP 2015, a special/invited session co-chair of ChinaSIP 2015, a publicity co-chair of GlobalSIP 2015, a track chair of ICPR 2016, and an area chair of CVPR 2012, ECCV 2016, and ICIP 2015, 2016. He is currently serving as the steering committee member of ICME and VALSE. He is a Fellow of IAPR.

　　八、主办单位：人力资源部教师发展中心

　　　　承办单位：计算机科学与工程学院

　　　　　　　　　　　　　　　　　　　人力资源部教师发展中心

　　　　　　　　　　　　　　　　　　　　2016年11月24日