VASC Seminar
Learning Local Image Descriptors for Recognition, Scene Labeling and Grouping
Event Location: NSH 1305Bio: Xiaofeng Ren is a research scientist at Intel Labs and an affiliate assistant professor at the University of Washington. His research interests are broadly in the areas of computer vision and its applications, including image features, grouping and segmentation, object recognition, and video analysis. His current focus is on understanding and [...]
An Egocentric Paradigm for Understanding Daily Activities
Event Location: NSH 1507Bio: Alireza Fathi is a PhD candidate at the College of Computing at Georgia Tech, graduating in Spring 2013. He has received his bachelors degree from Sharif University of Technology in Iran in 2006, and his MSc degree from Simon Fraser University in Canada in 2008. His main research areas are computer [...]
Understanding the 3D World from Images
Event Location: NSH 1305Bio: Silvio Savarese is an Assistant Professor of Electrical and Computer Engineering at the University of Michigan, Ann Arbor. After earning his Ph.D. in Electrical Engineering from the California Institute of Technology in 2005, he joined the University of Illinois at Urbana-Champaign from 2005 - 2008 as a Beckman Institute Fellow. He [...]
Visual Topometric Localization
Event Location: NSH 1305Bio: Hernan Badino received his PhD degree from the J. W. Goethe Frankfurt University, in 2008. Dr. Badino has worked on vision based environment perception for driver assistance systems during his PhD at Daimler AG, in Stuttgart, Germany. He joined the Robotics Institute in 2009 as a post doctoral researcher where he [...]
(Talk 1) Web Image Prediction Using Multivariate Point Processes (Talk 2) Towards Massive Multi-Way Classification: Structured Sparse Output Coding
Event Location: NSH 1305Bio: (Talk 1) Gunhee Kim is a PhD student advised by Prof. 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 Prof. Martial Hebert in Robotics Institute, CMU, and worked as a visiting researcher at [...]
(Talk 1) Activity Forecasting (Talk 2) Constrained Semi-Supervised Learning using Attributes and Comparative Attributes (Talk 3) People Watching: Human Actions as a Cue for Single View Geometry
Event Location: NSH 1305Bio: (Talk 1) Kris Kitani is a postdoctoral research fellow at the Robotics Institute. He specializes in the area of vision-based human activity analysis. (Talk 2) Abhinav Shrivastava is a PhD student in Robotics Institute (CMU) working with Alyosha Efros, Abhinav Gupta and Martial Hebert. Before joining PhD, he finished his Masters [...]
(Special VASC Seminar) ConSeqOpt: A Data Driven Approach to Control Library Optimization
Event Location: NSH 3305Bio: Debadeepta Dey is a 3rd year Phd student in The Robotics Institute, Carnegie Mellon University advised by Prof J. Andrew Bagnell. From 2007-2010 he was research staff in Prof. Sanjiv Singh's group at the Field Robotics Center. He has worked on vision-based sense-and-avoid for UAVs, automated drilling for mining, robotics in [...]
Particle Filter Framework for Localization of Dynamic EEG Sources (Joint VASC-CBI Seminar)
Event Location: NSH 1305Bio: Petia Georgieva is an Assistant Professor at the Department of Electronics Telecommunications and Informatics, University of Aveiro, Portugal and the Head of Signal Processing Lab of the Institute of Electrical Engineering and Telematics of Aveiro (IEETA). She is a visiting faculty in the framework of the program CMU-Portugal faculty exchange. Her [...]
Facial Expression Analysis based on 3D Deformable Models
Event Location: NSH 1305Bio: Laszlo Attila Jeni is a research scientist at the Carnegie Mellon University and the University of Pittsburgh. The main body of his work concentrates on machine learning for affective behavior analysis and its applications, including 3D deformable face registration, facial expression analysis and human-machine interaction. At present most of his research [...]