Video Forensics: Extracting and Analyzing Information from Video about Human Rights, Conflict, and Disaster
Event Location: NSH 1305Bio: Jay Aronson is Associate Professor of Science, Technology, and Society at Carnegie Mellon University. His research and teaching focus is on the interactions of science, technology, law, and human rights in a variety of contexts. He is currently engaged in a long-term study of the ethical, political, and social dimensions of [...]
Fusion of Visual and Thermal Sensing for Traversability Prediction
Event Location: GHC 2109Bio: Chris Cunningham is a Ph.D. student in the Robotics Institute advised by Red Whitaker. He received his B.S. degree in electrical engineering from the University of Virginia in 2012. His current research focuses on terrain classification and slip prediction for planetary robots.Abstract: Loose, granular soil can trap planetary rovers causing costly [...]
Large-scale image classification and video highlight retrieval
Event Location: NSH 1507Bio: Min Sun is a postdoctoral researcher in the Computer Science and Engineering department at the University of Washington (UW) working with Steve Seitz and Ali Farhadi. Before joining UW, he graduated from the University of Michigan at Ann Arbor with a Ph.D. degree and Stanford University with a M.Sc. degree. His [...]
View Trajectory Planning for Modeling Planetary Features under Transient Illumination
Event Location: GHC 8102Abstract: This research addresses the problem of planning views for modeling large, local, substantially 3D terrain features, such as skylights, at long range from surface rovers. Skylights, which are vertical cave entrances, and other pits have been identified in recent high-resolution images of the Moon and Mars. Planetary pits are interesting scientific [...]
Toward Autonomous Rotorcraft
Event Location: NSH 1305Bio: Sebastian Scherer is a Systems Scientist at the Robotics Institute (RI) at Carnegie Mellon University (CMU). His research focuses on enabling autonomy for unmanned rotorcraft to operate at low altitude in cluttered environments. He and His team have shown the fastest and most tested obstacle avoidance on an Yamaha RMax (2006), [...]
Computer Vision for Movie Making and Infographics
Event Location: NSH 1305Bio: Chris Bregler is a Professor of Computer Science at NYU and is also working with Lucasfilm's Advanced Development Group and with Industrial Light & Magic on new vision based tracking systems. Prior to NYU he was on the faculty at Stanford University and worked for several companies including Hewlett Packard, Interval, [...]
Multi-agent Pickup and Delivery Planning with Transfers
Event Location: GHC 2109Abstract: In Pickup and Delivery Problems (PDPs), mobile vehicles retrieve and deliver a set of items. The PDP is a well-studied, NP-hard problem. Examples of the PDP include mail and courier services, taxis, ridesharing services, and robots such as our own CoBots and CreBots, which retrieve and deliver items for the occupants [...]
Why Virtual Reality Isn’t the Next Big Platform
Event Location: GHC 6115Bio: Over the last 30 years, Michael has worked at companies that made graphics hardware, computer-based instrumentation, and rendering software, been the GDI lead for the first couple of versions of Windows NT, worked with John Carmack on Quake, worked on Xbox and Xbox 360, written or co-written at least four software [...]
Why Virtual Reality Isn’t the Next Big Platform
Event Location: GHC 6115Bio: Dov Katz is leading Oculus VR's computer vision R&D. He is passionate about human and computer perception. His research interest include computer vision, machine learning, and autonomous manipulation. At Oculus, he developed a high precision - low latency optical position tracking system. He is currently engaged in several projects that will [...]
Mapping & Localizing on the Beating Heart
Event Location: NSH 1507Abstract: In the United States the annual cost of cardiovascular disease exceeds $475 billion. Medical imaging costs more than $100 billion annually, with cardiovascular imaging representing almost one-third. Any approach that can reduce the need for imaging in cardiovascular care has the potential to provide significant savings. Without direct visualization of the [...]