VASC Seminar
Adaptive Image Similarity: The Sharpening Match
Event Location: NSH 1305Bio: Erik G. Learned-Miller (previously Erik G. Miller) is an Associate Professor of Computer Science at the University of Massachusetts, Amherst, where he joined the faculty in 2004. His research focusses on computer vision and machine learning. He spent two years as a post-doctoral researcher at the University of California, Berkeley, in [...]
Efficient Human Pose Estimation with Data-Dependent Cliques
Event Location: NSH 1305Bio: Ben Sapp is Ph.D. candidate in Computer and Information Science at the University of Pennsylvania, advised by Ben Taskar. His work uses machine learning to tackle computer vision problems, with a focus on graphical models to solve human pose estimation in single 2-D images or video - specifically, studying how to [...]
Data-Driven Crowd Analysis in Videos
Event Location: NSH 1305Bio: Mikel Rodriguez is a researcher at MITRE. He was a post-doctoral fellow at the INRIA Willow team at the Département d'Informatique of Ecole Normale Supérieure in Paris, France. Mikel completed his PhD in Computer Science at UCF in 2010. His research focuses mainly on video interpretation which includes tracking, visual motion [...]
Human Action Analysis-Understanding the spatio-temporal structure.
Event Location: NSH 1305Bio: Michalis Raptis is a Postdoctoral Researcher in Disney Research, Pittsburgh. He received the M.Sc. and the Ph.D. degree from the Computer Science Department of University of California, Los Angeles (UCLA), in 2008 and 2011 respectively. In 2006, he obtained the diploma of Electrical and Computer Engineering from the National Technical University [...]
Visual Recognition with Humans in the Loop
Event Location: NSH 1305Bio: Serge Belongie received the B.S. degree (with honor) in Electrical Engineering from the California Institute of Technology in 1995 and the M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences (EECS) at U.C. Berkeley in 1997 and 2000, respectively. While at Berkeley, his research was supported by a National Science [...]
Visual Filters for Scene Classification
Event Location: NSH 1305Bio: Douglas Summers-Stay is a robot vision researcher for the Army Research Laboratory. He is finishing up his PhD in Computer Science at the University of Maryland, working with Yiannis Aloimonos. He recently published Machinamenta, an examination of creative machines before the invention of computers.Abstract: "Visual filters" is an approach to the [...]
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 [...]