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2018年8月23日学术报告:Towards Intelligent Multimedia Interactions: Understanding Human Behaviours Using RGB-D Sensors


添加时间:2018-08-22 03:15:01



报告题目:Towards Intelligent Multimedia Interactions: Understanding Human Behaviours Using RGB-D Sensors

报告时间:2018年8月23日(星期四)下午2:00-3:00

报告地点:良乡校区 徐特立图书馆 509

报告人: Junsong Yuan

 

Abstract: To make multimedia systems intelligently interact with human beings, it is important for them to understand human behaviors, e.g., through their voices, facial/hand gestures and body actions, so that machines can better sense the intentions of humans, and communicate with them in a natural way. In this talk, I will discuss our recent work of sensing human behaviors using commodity RGB-D sensors, as well as the understanding of human intentions via observing their hand and body interactions with other objects. We will present both deep learning-based approaches as well non-deep learning approaches to address the challenges. Potential applications in virtual reality, gaming, tele-presence, human-robot interaction, and video surveillance will also be discussed.  

 

Bio: Junsong Yuan is currently an Associate Professor and Director of Visual Computing Lab at Computer Science and Engineering Department of the State University of New York at Buffalo. Before that he was an Associate Professor at Nanyang Technological University (NTU), Singapore. He received his Ph.D. from Northwestern University, USA. He is currently Senior Area Editor of Journal of Visual Communications and Image Representation (JVCI), Associate Editor of IEEE Trans. on Image Processing (T-IP) and IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT), and served as Guest Editor of International Journal of Computer Vision (IJCV). He is Program Co-Chair of ICME‘18 and Steering Committee Member of ICME from 2018 to 2019. He also served as Area Chair for CVPR, ACM MM, ACCV, WACV etc. He received 2016 Best Paper Award from IEEE Trans. on Multimedia, Nanyang Assistant Professorship from NTU, and Outstanding EECS Ph.D. Thesis award from Northwestern University. He is a Fellow of International Association of Pattern Recognition (IAPR).



作者:姜玮