VASC Seminar
Toward BIGVISION
Event Location: NSH 1507Bio: Alex Berg's research concerns computational visual recognition. He has worked on general object recognition in images, action recognition in video, human pose identification in images, image parsing, face recognition, image search, and machine learning for computer and human vision. He co-organizes the ImageNet Large Scale Visual Recognition Challenge, and organized the [...]
Segmenting smoke, trees and waterfalls – Spatiotemporal filters and distance learning to segment dynamic textures in videos of natural scenes
Event Location: NSH 1507Bio: Damien Teney recently joined Carnegie Mellon University as a post-doctoral researcher with a fellowship of the Belgian-American Educational Foundation. His research interests are at the intersection of computer vision, machine learning, and robotics. He is currently working with Martial Hebert, focusing on visual scene understanding and semantic segmentation. He previously worked [...]
Language and Perceptual Categorization in Computer Vision
Event Location: NSH 1507Bio: Vicente Ordonez is a PhD student in the Department of Computer Science at the University of North Carolina at Chapel Hill. He holds an MS from Stony Brook University and an engineering degree from the Escuela Superior Politecnica del Litoral in Ecuador. His research interests are at the at the intersection [...]
Detection, segmentation and fine-grained localization
Event Location: NSH 1507Bio: I am a fifth year graduate student with Prof. Jitendra Malik in the Vision group at University of California Berkeley. I did my undergraduate at the Indian Institute of Technology, Delhi. My interests are in Computer Vision and Machine learning. I am funded by a Microsoft Research Fellowship.Abstract: Object recognition in [...]
Designing and Overcoming Challenges in Large-Scale Object Detection
Event Location: NSH 3305Bio: Olga Russakovsky (http://ai.stanford.edu/~olga) is a PhD student at Stanford University advised by Professor Fei-Fei Li. Her main research interests are in large-scale object detection and recognition. For the past two years she has been the lead organizer of the international ImageNet Large Scale Visual Recognition Challenge which has been featured in [...]
Words, Pictures, and Imagination
Event Location: NSH 1109Bio: Devi Parikh is an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech (VT) and an Allen Distinguished Investigator of Artificial Intelligence. She leads the Computer Vision Lab at VT, and is also a member of the Virginia Center for Autonomous Systems (VaCAS) and the VT [...]
Hedging Against Uncertainty via Multiple Diverse Predictions
Event Location: NSH 1109Bio: Dhruv Batra is an Assistant Professor at the Bradley Department of Electrical and Computer Engineering at Virginia Tech, where he leads the VT Machine Learning & Perception group. He is a member of the Virginia Center for Autonomous Systems (VaCAS) and the VT Discovery Analytic Center (DAC). Prior to joining VT, [...]
Towards Next Generation 3D Cameras
Event Location: NSH 1507Bio: Mohit Gupta will start as an assistant professor in the CS department at the University of Wisconsin-Madison in January ’16. He is currently a research scientist in the CAVE lab at Columbia University. He received a B.Tech. in computer science from Indian Institute of Technology Delhi in 2003, an M.S. from [...]
Inverting RANSAC: Global Model Detection via Inlier Rate Estimation
Event Location: NSH 1507Bio: Simon Korman is a Ph.D. student at the Department of Electrical Engineering at Tel-Aviv university, where he is advised by Professor Shai Avidan. Simon holds a B.Sc. in Mathematics and Computer Science from the Hebrew University of Jerusalem and an M.Sc. in Mathematics and Computer Science from the Weizmann Institute of [...]