Seminar
Towards Large-scale Video Understanding
Event Location: NSH 1507Bio: Chen Sun is a Ph.D. candidate in the Computer Vision group at University of Southern California, advised by Prof. Ram Nevatia. His research interest includes Computer Vision and Machine Learning, with a focus on large-scale video understanding. Chen got his bachelor degree in Computer Science at Tsinghua University, Beijing. He has [...]
Learning optimal seeds for diffusion based salient object detection
Event Location: NSH 1507Bio: Vijay Mahadevan is Research Scientist at Yahoo Labs in Sunnyvale, CA. He received the Ph.D degree in Electrical Engineering from UC San Diego. He also has an M.S. from Rensselaer, and a B.Tech from Indian Institute of Technology, Madras. His interests are in the areas of computer vision, machine learning and [...]
Crowds and Robots: Leveraging the Web to Advance Robot Autonomy
Event Location: NSH 1305Bio: Sonia Chernova is the Catherine M. and James E. Allchin Early-Career Assistant Professor in the School of Interactive Computing, and the director of the Robot Autonomy and Interactive Learning (RAIL) lab. Her research interests span robotics, interactive machine learning, adjustable autonomy, human computation and human-robot interaction. Dr. Chernova received her Ph.D. [...]
Using Motion to Understand Objects in the Real World
Event Location: NSH 1507Bio: David Held is a Computer Science Ph.D. student at Stanford doing research at the intersection of robotics, computer vision, and machine learning. He is co-advised by Sebastian Thrun and Silvio Savarese. David has also interned at Google, working on the self-driving car project. Before Stanford, he worked as a software developer [...]
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
Event Location: NSH 1507Bio: Philipp is a postdoctoral researcher at UC Berkeley. He received his PhD from Stanford University in 2014 under the supervision of Vladlen Koltun. His main research interests lie in Computer vision, Machine learning and Computer Graphics. He is particularly interested in image segmentation and deep learning. Abstract: In this talk, I'll [...]
Learning deconvolution network for semantic segmentation: DeconvNet and DecoupledNet
Event Location: NSH 1507Bio: Bohyung Han Associate Professor Dept. of Computer Science and Engineering POSTECH, Korea Bohyung Han received the B.S. and M.S. degrees from the Department of Computer Engineering at Seoul National University, Korea, in 1997 and 2000, respectively, and the Ph.D. degree from the Department of Computer Science at the University of Maryland, [...]
Automatic Analysis of Facial Behaviour
Event Location: DH 2210Bio: Maja Pantic obtained her PhD degree in computer science in 2001 from Delft University of Technology, the Netherlands. Until 2005, she was an Assistant/ Associate Professor at Delft University of Technology. In 2006, she joined the Imperial College London, Department of Computing, UK, where she is Professor of Affective & Behavioural [...]
Novel Cues for Geocalibration: Cloudy Days, Rainbows, and More
Event Location: NSH 1507Bio: Nathan Jacobs earned a PhD in Computer Science at Washington University in St. Louis (2010). Since then, he has been an Assistant Professor of Computer Science at the University of Kentucky. Dr. Jacobs' research area is computer vision; his speciality is developing learning-based algorithms and systems for processing large-scale image collections. [...]
University of Michigan’s Work Toward Autonomous Cars
Event Location: GHC 6115Bio: Ryan M. Eustice is an Associate Professor in the Department of Naval Architecture and Marine Engineering at the University of Michigan where he additionally holds joint appointments in the Department of Electrical Engineering and Computer Science, and the Department of Mechanical Engineering. He is the Director of the Perceptual Robotics Laboratory [...]
Unsupervised Deep Feature Learning from Video
Event Location: NSH 1507Bio: Ross Goroshin has recently obtained his PhD under Yann LeCun from the Department of Computer Science at New York University's Courant Institute. He received a masters in Electrical & Computer Engineering from Georgia Tech and his bachelors in Electrical Engineering from Concordia University in Montreal, Canada. Abstract: Many recent empirical successes [...]