Computer Vision and Intelligent Services


July 28, 2015


Baining Guo, Martial Hebert, Tao Mei, and Zhengyou Zhang


Microsoft Research, Carnegie Mellon University, Microsoft


Recent advances in image understanding have opened many avenues for computer vision-based intelligent services. These technological advances—which span a broad range of visual understanding tasks including object recognition, video event detection, image search, and scene reconstruction—can facilitate a variety of image analysis applications from visual identification of users to 3D city mapping and detecting child exploitation images. Moreover, by harnessing the power of the cloud, computationally-intensive vision tasks have become increasingly accessible to ordinary users. This session focuses on the latest developments in image understanding as well as a discussion on consumer services that they may enable.


Baining Guo, Martial Hebert, Tao Mei, and Zhengyou Zhang

Martial Hebert is a Professor of Robotics at Carnegie-Mellon University and director of the Robotics Institute. His interest includes computer vision, especially recognition and scene understanding in images and video data, model building and object recognition from 3D data, and perception for mobile robots and for intelligent vehicles. His group has developed approaches for object recognition and scene analysis in images, 3D point clouds, and video sequences. In the area of machine perception for robotics, his group has developed techniques for people detection, tracking, and prediction, and for understanding the environment of ground vehicles from sensor data.

Zhengyou Zhang is a Researcher with Microsoft Research. He received the Ph.D. degree from the University of Paris XI, France, in 1990, and the Habilitation à diriger des recherches diploma from the University of Paris XI, in 1994. He has been with INRIA (French National Institute for Research in Computer Science and Control) for 11 years and was a Senior Research Scientist from 1991 until he joined Microsoft Research. He is an Associate Editor of the “International Journal of Pattern Recognition and Artificial Intelligence” and an Action Editor of “Videre: A Journal of Computer Vision Research”. He is a Senior Member of the IEEE, and a Member of the ACM, and is listed in Who’s Who in the World and Who’s Who in America. He has co-authored three books: 3D Dynamic Scene Analysis: A Stereo Based Approach (Springer, Berlin, Heidelberg, 1992); Epipolar Geometry in Stereo, Motion and Object Recognition (Kluwer Academic Publishers, 1996); Computer Vision (textbook in Chinese, Chinese Academy of Sciences, 1998).

Tao is a Lead Researcher with Microsoft Research, Beijing, China. His current research interests include multimedia information retrieval and computer vision. He has authored or co-authored over 100 papers in journals and conferences, 10 book chapters, and edited three books. He holds 13 granted U.S. patents and more than 20 in pending. Tao was the recipient of several paper awards from prestigious multimedia journals and conferences, including the IEEE T-CSVT (2013) and T-MM (2014) Best Paper Awards, and the ACM Multimedia Best Paper Awards (2007 and 2009). He is an Associate Editor of IEEE Trans. on Multimedia and ACM/Springer Multimedia Systems, and a Senior Member of IEEE and ACM. He received the B.E. and Ph.D. degrees from the University of Science and Technology of China, Hefei, China, in 2001 and 2006, respectively. Learn more.