Seminar
Segmenting smoke, trees and waterfalls – Spatiotemporal filters and distance learning to segment dynamic textures in videos of natural scenes
Event Location: NSH 1507Bio: Damien Teney recently joined Carnegie Mellon University as a post-doctoral researcher with a fellowship of the Belgian-American Educational Foundation. His research interests are at the intersection of computer vision, machine learning, and robotics. He is currently working with Martial Hebert, focusing on visual scene understanding and semantic segmentation. He previously worked [...]
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 [...]
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 [...]
Bio-Inspired Dynamic Surface Grasping
Event Location: NSH 1305Bio: Mark R. Cutkosky is the Fletcher Jones Professor in the Dept. of Mechanical Engineering at Stanford University. He joined Stanford in 1985, after working in the Robotics Institute at Carnegie Mellon University and as a design engineer at ALCOA, in Pittsburgh, PA. He received his Ph.D. in Mechanical Engineering from Carnegie [...]