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10 years ago keywords: image search, image retrieval
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http://users.dcc.uchile.cl/~rbaeza/ Ricardo Baeza-Yates is VP of Research for Europe and Latin America, leading the Yahoo! Research labs at Barcelona, Spain and Santiago, Chile. Until 2012 he also supervised the lab in Haifa, Israel. Until 2005 he was the director of the Center for Web Research at the Department of Computer Science of the Engineering School of the University of Chile; and ICREA Professor and founder of the Web Research Group at the Dept. of Information and Communication Technologies of Universitat Pompeu Fabra in Barcelona, Spain. He maintains ties with both mentioned universities as a part-time professor for the Ph.D. program. His research interests includes algorithms and data structures, information retrieval, web data mining, and data visualization. He is ACM Fellow and IEEE Fellow.
http://research.microsoft.com/en-us/people/hshum/ Former managing director of Microsoft Research Asia, Dr. Harry Shum, after leading Bing product development for several years as a Corporate Vice President, has taken the new role of Microsoft Executive Vice President, Technology and Research.
Dr. Shum is an Institute of Electrical and Electronics Engineers (IEEE) Fellow and an Association for Computing Machinery (ACM) Fellow. He served on the editorial board of the International Journal of Computer Vision, and was a Program Chair of the International Conference of Computer Vision (ICCV) 2007. Dr. Shum has published more than 100 papers in computer vision, computer graphics, pattern recognition, statistical learning, and robotics. He holds more than 50 U.S. patents.
http://www.cs.rochester.edu/u/jluo/ Jiebo Luo joined the Computer Science Department at the University of Rochester in the Fall of 2011 after over fifteen years at Kodak Research Laboratories, where he was a Senior Principal Scientist leading research and advanced development. He has been involved in numerous technical conferences, including serving as the program co-chair of ACM Multimedia 2010 and IEEE CVPR 2012. He is the Editor-in-Chief of the Journal of Multimedia, and has served on the editorial boards of the IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition, Machine Vision and Applications, and Journal of Electronic Imaging. He is a Fellow of the SPIE, IEEE, and IAPR.
His research spans image processing, computer vision, machine learning, data mining, medical imaging, and ubiquitous computing. He has been an advocate for contextual inference in semantic understanding of visual data, and continues to push the frontiers in this area by incorporating geo-location context and social context. A recent research thrust focuses on exploiting social media for machine learning, data mining, and human-computer interaction, for example, mining the wisdom of crowds for social, political, and economic prediction and forecasting. He has published extensively with over 180 papers and 60 US patents.
http://www.jdl.ac.cn/htm-gaowen/index_en.htm Wen Gao received his Ph.D. degree in electronics engineering from the University of Tokyo in 1991. He is a professor of computer science at the Peking University from Feb. of 2006, and the vice president of NSFC from Feb. of 2013. He joined with the Harbin Institute of Technology from 1991 to 1995, as professor, department head of computer science. He was with Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS) from 1996 to 2006. Dr. Gao is working at the areas of video coding, video processing, computer vision, and multimedia. He is a Member of Chinese Academy of Engineering, a Fellow of IEEE, and a Fellow of ACM.
http://www.robots.ox.ac.uk/~az/ Professor Andrew Zisserman leads the Visual Geometry Group at the University of Oxford, UK. Andrew's research interests include visual recognition, image retrieval, multi-view geometry, and other aspects of computer vision. Some of Andrew's papers are amongst the most highly cited works in the field. His contributions received multiple awards at the top computer vision conferences including three Marr prizes at the International Conferences on Computer Vision. He has published several books including "Visual Reconstruction" (with Andrew Blake) and "Multiple View Geometry in Computer Vision" (with Richard Hartley). He is a fellow of the Royal Society.
http://vision.stanford.edu/ Fei-Fei Li is an associate professor at the Computer Science Department and the director of the Vision Lab at Stanford. Prior to joining Stanford, she was on faculty at Princeton University (2007-2009) and University of Illinois Urbana-Champaign (2005-2006). Fei-Fei obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. Fei-Fei's main research interest is in vision, particularly high-level visual recognition. In computer vision, Fei-Fei's interests include image and video classification, retrieval, and understanding. Some of the most recent work in her lab relates to fundamental technological problems related to large-scale Internet data, mobile computing, machine learning and artificial intelligence. In human vision, she has studied the interaction of attention and natural scene and object recognition, and decoding the human brain fMRI activities that are known as "mind reading" of the brain. Research by Fei-Fei and colleagues have appeared in top-tier journals and conferences such as Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, IJCV, IEEE-PAMI, etc. In addition, research from Fei-Fei's lab have been featured in New York Times, New Scientists and a number of popular press magazines and newspapers. Fei-Fei is a recipient of the 2011 Alfred Sloan Faculty Award, 2012 Yahoo Labs FREP award, 2009 NSF CAREER award, the 2006 Microsoft Research New Faculty Fellowship and a number of Google Research awards.
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