报告时间：2018年6月7日上午10：00
报告地点：浙江大学紫金港校区蒙民伟楼402会议室
报告题目：Visual Representation and Sensing from Mobile Cameras and Other Information
报告人：Pro. Minh N. Do
主持人：郑友怡研究员

Abstract: First, due to advancement in minimization and mass-production, cameras are ubiquitously embedded in mobile devices including phones, vehicles, robots, drones, and body-worn cameras.  These mobile cameras record in real-time large amounts of video data about the surrounding environment.  We will motivate a holistic approach that combines geometric reconstruction with semantic recognition for visual perception of dynamic environment.  This approach leads to a number of novel methods for extracting visual information from mobile devices including pose and location estimation, 3D environment mapping, object localization and recognition, and motion and change detection.  Second, visual data are often captured in conjunction with other information.  We will present our deep learning-based methods that can effectively exploit the connection between extracted visual structures with genomic data and natural language.  These methods lead to new knowledge discoveries and cognitive systems.

Bio:Minh N. Do is a Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC).  He received the B.Eng. degree in Computer Engineering from the University of Canberra, Australia in 1997, and the Dr.Sci. degree in Communication Systems from the Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland in 2001.  Since 2002, he has been on the faculty of the Department of Electrical and Computer Engineering at UIUC, and holds joint appointments with the Coordinated Science Laboratory, the Beckman Institute for Advanced Science and Technology, the Advanced Digital Sciences Center, the Department of Bioengineering, and the Department of Computer Science.  He received a Silver Medal from the 32nd International Mathematical Olympiad in 1991, a University Medal from the University of Canberra in 1997, a Doctorate Award from the EPFL in 2001, a CAREER Award from the National Science Foundation in 2003, a Xerox Award for Faculty Research from the UIUC College of Engineering in 2007, and a Young Author Best Paper Award from IEEE in 2008.  He was an Associate Editor of the IEEE Transactions on Image Processing, and a member of the IEEE Technical Committees on Signal Processing Theory and Methods, and on Image, Video, and Multidimensional Signal Processing.  He was elected as an IEEE Fellow in 2014 for his contributions to image representation and computational imaging.  He has contributed to several technology transferring efforts, including as a co-founder and CTO of Personify and Chief Scientist of Misfit.