Mapping, Localization, and Self-Driving Vehicles
Event Location: NSH 1305Bio: John J. Leonard is Professor of Mechanical and Ocean Engineering and Associate Department Head for Research in the MIT Department of Mechanical Engineering. He is also a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His research addresses the problems of navigation and mapping for autonomous mobile robots. [...]
Visual Parsing with Weak Supervision
Event Location: NSH 1507Bio: Jia Xu is a PhD candidate of the Computer Sciences Department at the University of Wisconsin-Madison, working with Prof. Vikas Singh, Prof. Jerry Zhu, and Prof. Chuck Dyer. He was a visiting student at University of Toronto in Summer 2014 and at TTI-Chicago during Summer 2013, both working with Prof. Raquel [...]
CANCELEDStochastic Models in Robotics
Event Location: NSH 1305Bio: Gregory S. Chirikjian received undergraduate degrees from Johns Hopkins University in 1988, and the Ph.D. degree from the California Institute of Technology, Pasadena, in 1992. Since 1992, he has been on the faculty of the Department of Mechanical Engineering, Johns Hopkins University, where he has been a full professor since 2001. [...]
CANCELED 3D Vision in a Changing World
Event Location: NSH 1507Bio: Andrew Fitzgibbon is a principal researcher in the computer vision group at Microsoft Research Cambridge. He is best known for his work on 3D vision, having been a core contributor to the Emmy-award-winning 3D camera tracker "boujou" (www.boujou.com) and Kinect for Xbox 360, but his interests are broad, spanning computer vision, [...]
Commonsense, Vision and Language
Event Location: NSH 1507Bio: C. Lawrence Zitnick is a senior researcher in the Interactive Visual Media group at Microsoft Research, and is an affiliate associate professor at the University of Washington. He is interested in a broad range of topics related to object recognition, the semantic interpretation of visual scenes, and methods for gathering commonsense [...]
Motor Skill Learning: From Simple Skills to Table Tennis and Manipulation
Event Location: NSH 1305Bio: Jan Peters is a full professor (W3) for Intelligent Autonomous Systems at the Computer Science Department of the Technische Universitaet Darmstadt and at the same time a senior research scientist and group leader at the Max-Planck Institute for Intelligent Systems, where he heads the interdepartmental Robot Learning Group. Jan Peters has [...]
Toward BIGVISION
Event Location: NSH 1507Bio: Alex Berg's research concerns computational visual recognition. He has worked on general object recognition in images, action recognition in video, human pose identification in images, image parsing, face recognition, image search, and machine learning for computer and human vision. He co-organizes the ImageNet Large Scale Visual Recognition Challenge, and organized the [...]
I would kill for a pigeon
Event Location: NSH 1305Bio: Michael J. Tarr is the Head of the Department of Psychology in Carnegie Mellon University’s Dietrich College of Humanities and Social Sciences and the Chair of Carnegie Mellon's BrainHub Steering Committee. He studies the neural, cognitive and computational mechanisms underlying visual perception and cognition. He is particularly interested in object and [...]
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 [...]
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 [...]