RI Seminar
Logical Analysis of Hybrid Systems
Event Location: NSH 1305Bio: André Platzer is an Assistant Professor in the Computer Science Department at Carnegie Mellon. Dr. Platzer developed the theory, practice, and applications of logical analysis and verification of hybrid systems, and he proved the very first completeness theorem for hybrid systems. He introduced compositional verification techniques and methods that can verify [...]
Don’t Always Ask, Don’t Always Tell: Judicious Mutual Modeling in Cooperative Multiagent Systems
Event Location: 1305 Newell Simon HallBio: Ed Durfee is a Professor of Computer Science and Engineering, and of Information, at the University of Michigan, where he has served on the faculty for over 20 years. His research focuses on developing representations and algorithms for multiagent planning, scheduling, and coordination, with applications that include cooperative robotics, [...]
STaC: Automated Adaptation of Strategic Guidance in Multiagent Coordination
Event Location: 1305 Newell Simon HallBio: Dr. Pedro Szekely is a Project Leader in USC/ISI and a Research Assistant Professor in USC’s Computer Science Department. He received his M.S. and Ph.D. degrees in Computer Science from Carnegie Mellon University in 1982 and 1987. Pedro has worked on user interfaces, multi-agent systems, and planning and scheduling. [...]
The social side of personal robots
Event Location: 1305 Newell Simon HallBio: Dr. Cynthia Breazeal is an Associate Professor of Media Arts and Sciences at the Massachusetts Institute of Technology where she founded and directs the Personal Robots Group at the Media Lab. She is a pioneer of social robotics and Human Robot Interaction. She has authored the book “Designing Sociable [...]
Steering Human Insight for Large-Scale Visual Learning
Event Location: 1305 Newell Simon HallBio: Kristen Grauman is a Clare Boothe Luce Assistant Professor in the Department of Computer Science at the University of Texas at Austin. Her research in computer vision and machine learning focuses on visual search and object recognition. Before joining UT-Austin in 2007, she received her Ph.D. in the EECS [...]
Sparse Matrix Factorization, Mesh Modification, and Real-Time FEM Simulation
Event Location: 1305 Newell Simon HallBio: James F. O'Brien is an Associate Professor of Computer Science at the University of California, Berkeley. His primary area of interest is Computer Animation, with an emphasis on generating realistic motion using physically based simulation and motion capture techniques. He has authored numerous papers on these topics. In addition [...]
Generating Representations for Action Recognition From Coarsely Labeled and Synthetic Data
Event Location: NSH 1507Abstract: Action recognition techniques rely heavily on well chosen features, such as trajectory-based motion descriptors, to make the most of relatively scarce video training data. Typically these features must be hand-selected because the very paucity of suitably annotated data that makes the selection of features critical also restricts the degree to which [...]
Visual Intelligence from Video and 3D Sensor Analytics
Event Location: NSH 1305Bio: Harpreet S. Sawhney is the Technical Director of Vision & Learning Technologies at SRI-Sarnoff in Princeton, NJ. Harpreet received his Ph.D. in Computer Science (Computer Vision) in 1992 from the University of Massachusetts, Amherst. His areas of interest are Object/Event Recognition, Motion Video Analysis, 3D Modeling, Immersive Telepresence, Video Enhancement and [...]
Cognition-enabled Everyday Manipulation
Event Location: NSH 3305Bio: Michael Beetz is a professor for Computer Science at the Department of Informatics of the Technische Universität Muenchen and heads the Intelligent Autonomous Systems group. He is vice coordinator of the German national cluster of excellence CoTeSys (Cognition for Technical Systems) where he is also co-coordinator of the research area “Knowledge [...]
Leveraging Structure to Efficiently Make Good Decisions in an Uncertain World
Event Location: NSH 1305Bio: Emma Brunskill is an an Assistant Professor in the Computer Science Department at Carnegie Mellon University. She was previously a NSF Mathematical Sciences Postdoctoral Fellow at the University of California, Berkeley. She completed her PhD in Computer Science at MIT on a NSF Graduate Fellowship and her masters in Neuroscience at [...]