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 [...]
Improving Robot Locomotion and Situational Awareness through Learning Methods for Expensive Black-Box Systems
Event Location: GHC 6501Abstract: The modular snake robots in Howie Choset’s lab provide an intriguing platform for research: they have already been shown to excel at a variety of locomotive tasks and have incredible potential for navigating complex terrains, but much of that potential remains untapped. Unfortunately, many techniques that are commonly used in robotics [...]
Segment-based SVMs for Time Series Analysis
Event Location: NSH 3305Abstract: Enabling computers to understand human and animal behavior has the potential to revolutionize many areas that benefit society such as clinical diagnosis, human-computer interaction, and social robotics. Critical to the understanding of human and animal behavior, and any temporally-varying phenomenon in general, is the capability to segment, classify, and cluster time [...]
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 [...]
No-Regret Methods for Learning Sequential Predictions
Event Location: GHC 8102Abstract: Sequential prediction problems arise commonly in many areas of robotics and information processing. For instance, in robot navigation tasks, autonomous robots rely on the ability to make a sequence of actions, given a sequence of observations revealed to them over time, in order to reach the desired goal location. Similarly, complex [...]
CANCELED From Robograd to Rockstar™: Lessons in Transforming from a Naive Academic to a Stressed Out Entrepreneur (& Why You’d Have To Be Insane to Do It)
Event Location: NSH 1305Bio: In 1996, Dr. Davis earned his PhD in Robotics from Carnegie Mellon and set out to work on AI and virtual characters in video games. After working at Activision from 1996 to 1999 as Technical Director, Dr. Davis founded Mad Doc Software, and independent game developer for PCs and gaming consoles. [...]
Cellular Event Detection in Time-lapse Live Cell Microscopy Images
Event Location: NSH 3002Abstract: Computer vision analysis of live cells in time-lapse microscopy images enables long-term continuous monitoring of a large number of intact cells with minimal human intervention, which has not been feasible by existing image processing methods with cellular staining images. Of critical importance in time-lapse microscopy image analysis is to understand the [...]