Learning, Prediction, and Optimization for Hybrid Vehicle Energy Management
Event Location: GHC 4405Abstract: Each year, hybrid vehicles command a larger portion of total vehicles on the road. These vehicles combine multiple sources of energy, such as batteries and gasoline, which have different strengths and weaknesses. Active management of these energy sources can increase vehicle efficiency, longevity, or performance. Optimizing energy management is highly sensitive [...]
Developing Trust in Autonomous Robots
Event Location: NSH 1305Bio: I am a Senior Commercialization Specialist at the NREC and the CEO of Edge Case Research, a company I co-founded to help make autonomous vehicles and other complex software-based systems safer and more reliable. I have sixteen years of experience developing advanced robotic systems for industry, the Department of Defense, and [...]
Language and Perceptual Categorization in Computer Vision
Event Location: NSH 1507Bio: Vicente Ordonez is a PhD student in the Department of Computer Science at the University of North Carolina at Chapel Hill. He holds an MS from Stony Brook University and an engineering degree from the Escuela Superior Politecnica del Litoral in Ecuador. His research interests are at the at the intersection [...]
Advances in Photoreal Digital Humans in Film and in Real-Time
Event Location: CIC DEC RoomBio: Paul Debevec is a Research Professor at the University of Southern California and the Chief Visual Officer at USC's Institute for Creative Technologies. From his 1996 P.hD. at UC Berkeley, Debevec’s publications and animations have focused on techniques for photogrammetry, image‐based rendering, high dynamic range imaging, image‐based lighting, appearance measurement, [...]
Detection, segmentation and fine-grained localization
Event Location: NSH 1507Bio: I am a fifth year graduate student with Prof. Jitendra Malik in the Vision group at University of California Berkeley. I did my undergraduate at the Indian Institute of Technology, Delhi. My interests are in Computer Vision and Machine learning. I am funded by a Microsoft Research Fellowship.Abstract: Object recognition in [...]
Online Lidar and Vision based Ego-motion Estimation and Mapping
Event Location: NSH 1507Abstract: In many real-world applications, motion estimation and mapping must be conducted online and in real-time. The real-time motion estimates are important for controlling and maneuvering autonomous vehicles, and the maps generated online are critical for obstacle avoidance and path planning. Further, the final map can be used as a representation of [...]
Designing and Overcoming Challenges in Large-Scale Object Detection
Event Location: NSH 3305Bio: Olga Russakovsky (http://ai.stanford.edu/~olga) is a PhD student at Stanford University advised by Professor Fei-Fei Li. Her main research interests are in large-scale object detection and recognition. For the past two years she has been the lead organizer of the international ImageNet Large Scale Visual Recognition Challenge which has been featured in [...]