主讲人： Prof. Jian Zhang, Faculty of Engineering and Information Technology, University of Technology, Sydney (UTS).时间：July 11, Thursday, 3:00pm-4:00pm地点： Z2102, Zhangjiang Campus, Fudan University联系人：颜波 byan@fudan.edu.cnABSTRACT:In this talk, I will give a comprehensive overview of our research outcomes in vision and learning. I will show our work of feature detection, selection and extraction for object detection. Boosting, SVM, structured learning, inference and other machine learning tools are used in our research. Building upon the findings of our experiments for pedestrian detection, we propose a new, simpler pedestrian detector using the covariance features. Unlike the work in other references, where the feature selection and weak classifier training are performed on the Riemannian manifold, we select features and train weak classifiers in the Euclidean space for faster computation. A set of demo will be shown to link our research to many applications including vehicle, boat and human detection. We will then extend our talk to a higher semantic level of human action classification and recognition. In particular, localizing when and where a specific action happens in realistic videos is a prohibitive computation task. After a brief overview the state-of-the-art techniques applied into the human action recognition task, we propose a fast human action localization framework by employing sparse coding techniques, which is towards building an efficient human action recognition strategy. In our recent research, we focus on 3D motion estimation on RGB-D data of deformable surfaces. We address the challenging problem of motion estimation of 3D range points on deformable objects captured by an RGB-D camera. We introduce a hierarchical motion estimation scheme that leverages both color and depth information to derive the motion vectors. We formulate motion vector MVs constraints into an energy cost function. Through an optimization process, the optimized MVs are derived. Our algorithm is robust when range images contain holes or occlusions. Finally, I would like to share some progress about our recent work on large scale image retrieval across different social media domains.BIOGRAPHY:Jian Zhang is currently an Associate Professor in Faculty of Engineering and Information Technology at University of Technology, Sydney (UTS). He was a Conjoint Associate Professor in the School of Computer Science and Engineering at the University of New South Wales. Prof. Zhang earned his Bachelor of Science in Electronic Engineering from East Normal University, China in 1982; a Master of Science in Computer Science from Flinders University, South Australia in 1994; and a PhD from School of Information Technology and Electrical Engineering, UNSW@ADFA, Australian Defence Force Academy, at the University of New South Wales in 1999.Since August 2011, Prof. Zhang has joined Advanced Analytics Institute (AAI), Faculty of Engineering and Information Technology (FEIT) at University of Technology (UTS), Sydney, where he is a research leader of Multimedia and Media Analytics Program in AAI/FEIT at UTS. Apart from more than 100 paper publications and book chapters from his research output, he was co-author of more than ten patents filed in US, UK, Japan and Australia including five issued US patentsFrom January 2004 - July 2011, Prof. Zhang was a Principal Researcher with National ICT Australia (NICTA), where he was a research leader of Multimedia and Video Communications Research at NICTA Sydney Lab in UNSW Kensington campus. He led several NICTA research projects in the areas of computer vision, multimedia content analysis and management, and multimedia content indexing and query.From 1997 to 2003, he was with the Visual Information Processing Laboratory, Motorola Labs, Sydney, as a Senior Research Engineer, and later became a Principal Research Engineer and a Foundation Manager with the Visual Communications Research Team.Dr. Zhang was the General Chair to host the International Conference on Multimedia and Expo in 2012. He is an Associated Editor for the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY and the EURASIP Journal on Image and Video Processing.
