Seminar
A deep spiking network model for fast stimulus-response association learning
Event Location: NSH 1305Bio: Guido Bugmann is an associate professor (Reader) in Intelligent Systems at the University of Plymouth's School of Computing and Mathematics where he develops human-robot dialogue systems, vision-based navigation systems for wheeled and humanoid robots, and investigates computational properties of biological vision and decision making. He previously worked at the Swiss Federal [...]
Safe and Precise Planetary Landing Technologies
Event Location: NSH3305Bio: Dr. Andrew E. Johnson graduated with Highest Distinction from the University of Kansas in 1991 with a BS in Engineering Physics and a BS in Mathematics. In 1997, he received his Ph.D. from the Robotics Institute at Carnegie Mellon University where he developed the spin-image surface signature for three dimensional object recognition [...]
Robust motion planning for walking robots and robotic birds
Event Location: NSH 1305Bio: Russ is the X Consortium Associate Professor of Electrical Engineering and Computer Science and Aeronautics and Astronautics at MIT, and a member of the Computer Science and Artificial Intelligence Lab. He is a recipient of the NSF CAREER Award, the MIT Jerome Saltzer Award for undergraduate teaching, the DARPA Young Faculty [...]
Technology in Support of Graceful Aging
Event Location: NSH 1305Bio: Ron Baecker is Professor of Computer Science, Bell Chair in Human-Computer Interaction, co-founder of the Dynamic Graphics Project, founder of the Knowledge Media Design Institute, and founder and director of the Technologies for Aging Gracefully lab (TAGlab) at the University of Toronto. He is also Affiliate Scientist with theKunin-Lunenfeld Applied Research [...]
From Sorcery to Science: how Hollywood Physics impacts the Sciences
Event Location: NSH 1305Bio: Eitan Grinspun is Associate Professor of Computer Science at Columbia University in the City of New York. He was Professeur d'Université Invité at l'Université Pierre et Marie Curie in 2009, a Research Scientist at the Courant Institute of Mathematical Sciences from 2003-2004, and a graduate student at the California Institute of [...]
From Art and Perception to Visualization and Video Processing
Event Location: NSH 1305Bio: Michael Gleicher is a Professor in the Department of Computer Sciences at the University of Wisconsin, Madison. Prof. Gleicher is founder and leader of the Department's Computer Graphics group. His research interests include visualization, image and video processing tools, and character animation techniques for films and games. Prior to joining the [...]
Helping Each Other to See: Humans and Machines
Event Location: NSH 3305Bio: C. Lawrence Zitnick received the PhD degree in robotics from Carnegie Mellon University in 2003. His thesis focused on efficient inference algorithms for large-problem domains. Previously, his work centered on stereo vision, including the development of a commercial portable 3D camera. Currently, he is a researcher at the Interactive Visual Media [...]
Factor Graphs, Bayes Trees, and Preconditioning for SLAM and SFM
Event Location: NSH 1507Bio: Frank Dellaert is an Associate Professor in the School of Interactive Computing, College of Computing at Georgia Tech. His research is in the areas of Robotics and Computer vision. He is particularly interested in graphical model techniques to solve large-scale problems in mapping and 3D reconstruction. Abstract: Simultaneous Localization and Mapping [...]
Motion Planning for Physical Systems
Event Location: NSH 1305Bio: Lydia E. Kavraki is the Noah Harding Professor of Computer Science and Professor of Bioengineering at Rice University. Kavraki received her Ph.D. in Computer Science from Stanford University. Her research contributions are in the area of robotics (robot motion planning, hybrid systems, formal methods in robotics, assembly planning, micromanipulation, and flexible [...]
Visual Category Discovery in Images and Videos
Event Location: GHC 4405Bio: Yong Jae Lee is PhD candidate in the ECE Department at the University of Texas at Austin working under the supervision of Kristen Grauman. His main research interests are computer vision and machine learning. Specifically, he is interested in object recognition and discovery, scene understanding, and activity recognition. His thesis focuses [...]