Speaker: Jiebo Luo, Professor, Department of Computer Science, University of Rochester, US
Date: June 28, 2017
Time: 9:00 am-11:00 am
Location: Round Lecture Hall, Office Building, Software Park Campus
Sponsor: the School of Computer Science and Technology
With the huge successes of deep learning in computer vision, many vision problems are seemingly being solved. Where do we go from here? We will discuss a few directions where computer vision, a later boomer in the AI family after speech processing and NLP, can team up with other siblings and friends to continue to push the frontiers of AI.
Professor Jiebo Luo joined the University of Rochester (UR) in 2011 after a prolific career of over fifteen years at Kodak Research Laboratories. His research spans computer vision, machine learning, data mining, social media, biomedical informatics, and ubiquitous computing. He has published extensively in these fields with 300+ peer-reviewed papers and 90+ granted US patents. He has been involved in numerous technical conferences, including serving as the program chair of ACM Multimedia 2010, IEEE CVPR 2012, and IEEE ICIP 2017. He has served on the editorial boards of the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Pattern Recognition, ACM Transactions on Intelligent Systems and Technology (TIST), Machine Vision and Applications, and Journal of Electronic Imaging. He is a Fellow of the SPIE, IEEE, and IAPR. He is a Data Science CoE Distinguished Researcher with the Georgen Institute for Data Science at UR.
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Edited by: Shi Yajie