VASC Seminar
Wongun Choi
Ph.D candidate
University of Michigan

Understanding Complex Human Behaviors in Videos

Event Location: NSH 1507Bio: Wongun Choi received his BS degree in Electrical Engieering in the Seoul National University in 2008 and MS degree in Electrical and Computer Engineering in the University of Michigan, Ann Arbor in 2011. Currently, he is working toward his Ph.D degree at the Computer Vision Lab in the University of Michigan, [...]

VASC Seminar
Aswin Sankaranarayanan
Assistant Professor, ECE, CMU

Breaking the resolution limits of sensors: Compressive sensing of high-dimensional visual signals

Event Location: TBABio: Aswin Sankaranarayanan is an Assistant Professor in the ECE Department at Carnegie Mellon University, Pittsburgh, PA. His research interests lie in the areas of computer vision, signal processing, and image and video acquisition. Prof. Sankaranarayanan received his B.Tech in Electrical Engineering from the Indian Institute of Technology, Madras in 2003 and MSc [...]

VASC Seminar
David Crandall
Assistant Professor
Indiana University

Studying the world by mining photo-sharing websites

Event Location: NSH 1507Bio: David Crandall is an Assistant Professor in the School of Informatics and Computing at Indiana University. He received the Ph.D. in computer science from Cornell University (2008) and the M.S. and B.S. degrees in computer science and engineering from the Pennsylvania State University (2001). He was a Postdoctoral Research Associate at [...]

VASC Seminar
Noah Snavely
Assistant Professor
Cornell University

Calibrating the World’s Photos with a Massive 3D Database

Event Location: NSH 1305Bio: Noah Snavely is an assistant professor of Computer Science at Cornell University, where he has been on the faculty since 2009. He received a B.S. in Computer Science and Mathematics from the University of Arizona in 2003, and a Ph.D. in Computer Science and Engineering from the University of Washington in [...]

VASC Seminar
Larry Davis
Professor
University of Maryland

A tasting menu of research on visual recognition at UMD

Event Location: NSH 1507Bio: Larry S. Davis received his B.A. from Colgate University in 1970 and his M. S. and Ph. D. in Computer Science from the University of Maryland in 1974 and 1976 respectively. From 1977-1981 he was an Assistant Professor in the Department of Computer Science at the University of Texas, Austin. He [...]

VASC Seminar
Rob Fergus
Assistant Professor
New York University

Visualizing Convolutional Neural Networks

Event Location: NSH 1507Bio: Rob Fergus is an Assistant Professor of Computer Science at the Courant Institute of Mathematical Sciences, New York University. He received a Masters in Electrical Engineering with Prof. Pietro Perona at Caltech, before completing a PhD with Prof. Andrew Zisserman at the University of Oxford in 2005. Before coming to NYU, [...]

VASC Seminar
Christoph Lampert
Assistant Professor
IST Austria

Attribute-based classification and the dream of life-long learning for scene understanding

Event Location: NSH 1507Bio: Christoph Lampert received the PhD degree in mathematics from the University of Bonn in 2003. Since 2010 he is an assistant professor at the Institute of Science and Technology Austria (IST Austria), where he heads a research group for computer vision and machine learning. Dr Lampert's research won several international and [...]

VASC Seminar
Katerina Fragkiadaki
PhD Candidate
University of Pennsylvania

Multi-Granularity Steering for Human Actions: Motion, Pose and Intention

Event Location: NSH 1507Bio: Katerina Fragkiadaki is a Ph.D. student in Computer and Information Science in the University of Pennsylvania. She received her diplomat in Computer Engineering from the National Technical University of Athens. She works on tracking, segmentation and pose estimation of people under close interactions, for understanding their actions and intentions. She also [...]

VASC Seminar
Ravi Garv

Dense non-rigid motion capture from monocular video

Event Location: NSH 1507Bio: Ravi Garv is a final year PhD student at the School of Electronic Engineering and Computer Science, at Queen Mary University of London, working under the supervision of Dr. Lourdes Agapito, who holds an ERC Starting Grant. His work focuses on dense reconstruction of non-rigid surfaces and dynamic scenes. Mr. Garv [...]

VASC Seminar
Gunhee Kim
PhD Candidate
CMU

Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines

Event Location: NSH 1507Bio: Gunhee Kim is a PhD candidate advised by Eric P. Xing at Computer Science Department of Carnegie Mellon University. Prior to starting PhD study in 2009, he earned a master’s degree under supervision of Martial Hebert in Robotics Institute, CMU. He also worked as a visiting student in Antonio Torralba's group [...]