Seminar
POSTPONED
Event Location: GHC2109
Visual Representation and Correlation Measurement
Event Location: NSH 1507Bio: Dr. Lei Wu is currently a Post-doctoral Research Associate in Dept. of Computer Science at University of Pittsburgh. He received Ph.D. in Dept. of Electronic Engineering and Information Science and B.S. degree in Special Class for Gifted Young (SCGY) from University of Science and Technology of China. His research interests include [...]
Autonomous Inspection and the Benefit of Adaptivity
Event Location: NSH3305Bio: Geoffrey A. Hollinger is a Postdoctoral Research Associate in the Robotic Embedded Systems Laboratory and Viterbi School of Engineering at the University of Southern California. He is currently interested in adaptive sensing and distributed coordination for robots operating with limited communication. He has also worked on multi-robot search at Carnegie Mellon University, [...]
Animating Robots and Characters with Human Motion Capture Data
Event Location: NSH 1305Bio: Katsu Yamane received his Ph.D. in mechanical engineering from University of Tokyo in 2002. He is currently a Senior Research Scientist at Disney Research, Pittsburgh and an Adjunct Associate Professor at the Robotics Institute, Carnegie Mellon University. Prior to joining Disney, he was a postdoctoral fellow at Carnegie Mellon University and [...]
Reconstructive Transplantation – Evolution, Experience and Emerging Insights
Event Location: NSH3305Bio: Dr. Gorantla is Associate Professor of Surgery and Administrative Medical Director of the Pittsburgh Reconstructive Transplant Program in the Division of Plastic Surgery at the University of Pittsburgh. Dr. Gorantla currently oversees, administers, directs and coordinates research and clinical programs in clinical hand, face and vascularizaed composite transplantation at UPMC, the University [...]
Manipulating Wild Bodies Using Gentle Guidance
Event Location: NSH 1305Bio: Steven M. LaValle is Professor of Computer Science in the Department of Computer Science at the University of Illinois. He received his Ph.D. in Electrical Engineering from the University of Illinois in 1995. From 1995-1997 he was a postdoctoral researcher and lecturer in the Department of Computer Science at Stanford University. [...]
Adaptive Image Similarity: The Sharpening Match
Event Location: NSH 1305Bio: Erik G. Learned-Miller (previously Erik G. Miller) is an Associate Professor of Computer Science at the University of Massachusetts, Amherst, where he joined the faculty in 2004. His research focusses on computer vision and machine learning. He spent two years as a post-doctoral researcher at the University of California, Berkeley, in [...]