Final Program
Time | Title | Speaker |
10:15-10:45 |
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10:45-10:50 | Introduction and welcome | Workshop organizers |
10:50-11:20 | A Critical Review of Action Recognition Benchmarks | T. Hassner |
11:20-11:40 | Formulating Action Recognition as a Ranking Problem | E. F. Can and R. Manmatha |
11:40-12:00 | Spatio-Temporal Saliency for Action Similarity | G. Burghouts, B. van den Broek, and J.-M. ten Hove |
12:00-13:30 |
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|
13:30-14:00 | Invited Speaker | Alvaro Soto, Pontificia Universidad Católica de Chile |
14:00-14:20 | Evaluating new variants of Motion Interchange Patterns | Y. Hanani, N. Levy, and L. Wolf |
14:20-14:40 | Invited Speaker | Ivan Laptev, INRIA Paris - Rocquencourt |
14:40-15:10 | Invited Speaker | Abhinav Gupta, Carnegie Mellon University |
15:10-15:30 | Panel discussion | |
15:30-15:55 |
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|
15:55:16:25 | Invited Speaker | Greg Mori, Simon Fraser University |
16:25-16:40 | Closing remarks | Workshop organizers |
Invited Speakers
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Alvaro Soto
Alvaro Soto received his Ph.D. in Computer Science from Carnegie Mellon University in 2002; and a M.Sc. degree in Electrical and Computer Engineering from Louisiana State University in 1997. In 2001, he joined the Computer Science Department at Pontificia Universidad Católica de Chile, where he became associate professor in 2007. His main research interests are in statistical machine learning, cognitive robotics, and computer vision. Further Info: http://asoto.ing.puc.cl/.
Ivan Laptev
Ivan Laptev is a full-time researcher at INRIA WILLOW. He received his PhD in Computer Science from the Royal Institute of Technology (KTH) in 2004 and his Master of Science degree from the same institute in 1997. He worked as a research assistant at the Technical University of Munich (TUM). He has joined INRIA as a researcher in 2005. Ivan's research interests include visual recognition of human actions, objects and interactions. He has published over 50 papers at international conferences and journals of computer vision and machine learning. He was awarded the ERC grant in 2012.
Abhinav Gupta
Abhinav Gupta is an Assistant Research Professor at the Robotics Institute, Carnegie Mellon University. Prior to this, he was a postdoctoral fellow at CMU working with Alexei Efros and Martial Hebert. His research is in the area of computer vision, and its applications to robotics and computer graphics. He is particularly interested in building vision systems that develop a deep understanding of the visual world from images and videos. His research has focused on exploiting big visual data for developing visual representation and reasoning-based approaches. His other research interests include exploiting relationship between language and vision, semantic image parsing, and exemplar-based models for recognition. Abhinav received his PhD in 2009 from the University of Maryland under Prof. Larry Davis. His dissertation was nominated for the ACM Doctoral Dissertation Award by the University of Maryland. Abhinav is a recipient of the ECCV Best Paper Runner-up Award (2010) and the University of Maryland Dean's Fellowship Award (2004).