VASC Seminar
Understanding Scenes With Superpixels and Object Detectors
Event Location: NSH 3305Bio: Svetlana Lazebnik received her Ph.D. in 2006 at the University of Illinois at Urbana-Champaign. From 2007 to 2012, she was an assistant professor of computer science at the University of North Carolina at Chapel Hill. As of January 2012, she has moved back to UIUC as an assistant professor. She is [...]
Capturing Light: The History of Imaging
Event Location: NSH 1305Bio: Roger Cicala received his M. D. in 1986. He spent 12 years (not all in a row) as Associate Professor of Medicine at the University of Tennessee. In the interim he practiced medicine, worked in pharmaceutical research, and for the Drug Enforcement Agency. In 2005 he left medicine to make a [...]
Shape, Albedo, and Illumination from Shading
Bio: Jon Barron is 4th year PhD candidate at UC Berkeley, supervised by Jitendra Malik. He is currently a visiting student with MIT's vision group. His research concerns intrinsic images, shape reconstruction, and biomedical imaging. Abstract: Traditional methods for recovering scene properties such as shape, albedo, or illumination rely on multiple observations of the same [...]
A Fixation-based Segmentation Framework to Extract Simple Objects from a Scene
Event Location: NSH 1305Bio: Ajay Mishra is currently working as a Research Scientist at Intelligent Automation Inc, Rockville, Maryland. Prior to this, he was a post-doc/Visiting Researcher working with Prof. Yiannis Aloimonos at the Institute for Advanced Computer Studies, University of Maryland, College Park since 2007. He obtained his PhD (2011) and B.Tech (2003) degrees, [...]
Advancing Computer Vision by Leveraging Humans
Event Location: NSH 1305Abstract: Historically, humans have played a limited role in advancing the challenging problem of computer vision: either by designing algorithms in their capacity as researchers or by acting as ground-truth generating minions. This seems rather counter-productive since we often aim to replicate human performance (e.g. in semantic image understanding) and are faced [...]
Talk 1: Factorized Graph Matching Talk 2: Generalized Time Warping for Multi-modal Alignment of Human Motion
Event Location: NSH 1305Abstract: Talk #1 Graph matching plays a central role in solving correspondence problems in computer vision. Graph matching problems that incorporate pair-wise constraints can be cast as a quadratic assignment problem (QAP). Unfortunately, QAP is NP-hard and many algorithms have been proposed to solve different relaxations. This paper presents factorized graph matching [...]
Talk #1: The M-Best Mode Problem: Extracting Diverse M-Best Solutions from Graphical Models Talk #2 (CVPR Practice Talk): Model Recommendation for Action Recognition Talk #3 (CVPR Practice Talk): Occlusion Reasoning for Object Detection under Arbitrary Viewpoint
Event Location: NSH 3305Abstract: **Pizza Lunch will be served at 1:00pm** Talk #1 (starting at 12:00pm) The M-Best Mode Problem: Extracting Diverse M-Best Solutions from Graphical Models Dhruv Batra, Research Assistant Professor TTI-C Abstract: A large number of problems in computer vision, computational biology and robotics can formulated as the search for the most probable [...]
Visual Outdoor Perception for Micro Aerial Vehicles
Event Location: NSH 1305Bio: Andreas Wendel received his B.Sc. and M.Sc. degree in Telematics (computer science and electrical engineering) from Graz University of Technology in 2007 and 2009, respectively. His studies were focused on computer vision and cognitive signal processing and he finished with highest distinction. Currently he is the head of the Aerial Vision [...]