VASC Seminar
Computational Behavior Analysis for Use in Assessing, Understanding, and Treating Clinical Depression and Related Disorders
Event Location: NSH 1507Bio: Dr Roland Goecke is an Associate Professor in Information Technology & Engineering at the Faculty of Education, Science, Technology and Engineering, University of Canberra, Australia. He leads the Vision and Sensing Group and is Deputy Director of the Human-Centered Computing Research Laboratory. He received his Masters degree in Computer Science from [...]
Coherent Object Detection with 3D Geometric Reasoning
Event Location: NSH 1507Bio: Advised by Dr. Takeo Kanade, Jiyan Pan is currently a Ph.D. candidate in Robotics Institute at Carnegie Mellon University. His major research interest includes computer vision, machine learning, and artificial intelligence. His thesis research focuses on coherent scene understanding with 3D geometric reasoning. The goal is to develop a reasoning framework [...]
Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-rank Matrix Decomposition
Event Location: NSH 1507Bio: Ricardo S. Cabral is working on a joint PhD program between Carnegie Mellon and IST-Lisbon. He received his Master's degree in ECE at IST-Lisbon and a research grant from the Portuguese Science Foundation, in 2009, for work in correspondence methods for structure from motion. He received an outstanding academic achievement award [...]
Compensating for Motion During Direct Global Separation
Event Location: NSH 1507Bio: Supreeth Achar is a PhD student in the Robotics Institute at Carnegie Mellon University. He is advised by Dr Srinivasa Narasimhan. His research interests include physics based methods for computer vision and projector-camera systems. Abstract: Separating the direct and global components of radiance can aid shape recovery algorithms and can provide [...]
Data-Driven 3D Primitives for Single Image Understanding
Event Location: NSH 1507Bio: David Fouhey is a 3rd year Ph.D. student in the Robotics Institute, where he is supervised by Abhinav Gupta and Martial Hebert. He holds an A.B. in Computer Science from Middlebury College. His research focuses on computer vision and machine learning and he is particularly interested in single-view scene understanding problems [...]
Facial Action Unit Event Detection by Cascade of Tasks
Bio: Xiaoyu Ding is a visiting scholar in Robotics Institute, Carnegie Mellon University. He works with Fernando De la Torre and Jeffrey F. Cohn. His research interests include practical aspects of computer vision and machine learning. In particular, he is working on facial expression analysis in videos.Abstract: Automatic facial Action Unit (AU) detection from video [...]
Predicting Primary Gaze Behavior using Social Saliency Fields
Event Location: NSH 1507Bio: Hyun Soo Park is a Ph.D. student in Mechanical Engineering at Carnegie Mellon University under the supervision of Prof. Yaser Sheikh. The main focus of his research is developing a computational basis for social scene understanding. He received his bachelor’s degree from POSTECH, Korea in 2007, and master’s degree from Carnegie [...]
NEIL: Extracting Visual Knowledge from Web Data
Event Location: NSH 1507Bio: Xinlei Chen is a PhD student in the Language Technologies Institute at Carnegie Mellon University, where he is supervised by Abhinav Gupta. He holds an Bachelor's degree in Computer Science from Zhejiang University, China. His research focuses on the intersection of computer vision and natural language processing and he is particularly [...]
Building Parts-based Object Detectors via 3D Geometry
Event Location: NSH 1507Bio: Abhinav Shrivastava is a PhD student in the Robotics Institute at Carnegie Mellon University, where he is supervised by Abhinav Gupta and Alexei A. Efros. He received his Master's degree from the same institute under the supervision of A. A. Efros and Martial Hebert. His research interests span computer vision esp. [...]
Mid-Level Visual Element Discovery as Discriminative Mode Seeking
Event Location: NSH 1507Bio: Carl Doersch is a PhD student in the Machine Learning Department at CMU, advised by Alyosha Efros and Abhinav Gupta. He holds a bachelor's in computer science/cognitive science and a masters in machine learning, both from CMU. His research focuses on machine learning and computer vision, particularly in the use of [...]