VASC Seminar
Michael Ryoo
Assistant Professor
Indiana University Bloomington

Human Activity Recognition from a Robot’s Viewpoint

Event Location: NSH 1507Bio: Michael S. Ryoo is an Assistant Professor of the School of Informatics and Computing at Indiana University. His research interest is within the areas of Computer Vision and Human-Robot Interaction, with a particular emphasis on human activity recognition, first-person vision, and wearable/ubiquitous cameras. Before joining IU, Dr. Ryoo was a staff [...]

VASC Seminar
Olga Russakovsky
Postdoctoral Fellow, RI
Carnegie Mellon

The human side of computer vision

Event Location: NSH 1507Bio: Olga Russakovsky (http://cs.cmu.edu/~orussako) is a postdoctoral research fellow at Carnegie Mellon University. She recently completed a PhD in computer science at Stanford advised by Prof. Fei-Fei Li. Her research is in computer vision, closely integrated with machine learning and human-computer interaction. She led the ImageNet Large Scale Visual Recognition Challenge effort [...]

VASC Seminar
Robert Pless
Professor
Washington University

Brighter, Faster, Cheaper: Finding or Creating Light Fields for Visual Computing

Event Location: NSH 1507Bio: Robert Pless is a Professor of Computer Science and Engineering at Washington University in St. Louis, where he founded and directs the Media and Machines Lab. His research focus are big-data and geometric approaches to Visual Computing, with applications to social justice and environmental measurement. Dr. Pless has a Bachelors Degree [...]

VASC Seminar
Genevieve Patterson
Computer Vision PhD Student
Brown University

Collective Insight: Crowd-driven Image Understanding

Event Location: NSH 1507Bio: Genevieve is a PhD Candidate in Computer Vision at Brown University. Her work on crowd-driven visual classification was recently awarded runner-up for Best Paper at the AAAI Conference on Human Computation (HCOMP). She built and maintains the SUN Attribute dataset, a widely used resource for scene understanding. Genevieve received her master's [...]

VASC Seminar
David Fouhey
Ph.D. Student at the Robotics Institute
Carnegie Mellon University

Towards A Physical and Human-Centric Understanding of Images

Event Location: Newell Simon Hall 1507Bio: David Fouhey is a Ph.D. student at the Robotics Institute of Carnegie Mellon University, where he is advised by Abhinav Gupta and Martial Hebert. His research interests include computer vision and machine learning with a particular focus on scene understanding. David's work has been supported by both NSF and [...]

VASC Seminar
Yu Xiang
Postdoctral Researcher
Stanford University

3D Object Representations for Recognition

Event Location: NSH 1507Bio: Yu Xiang is a Postdoctoral Researcher in the Computer Science Department at Stanford University. His research focuses on understanding objects and scenes from images and videos, with emphasis on recognizing both semantic and 3D geometric properties of objects and scenes. His current work attempts to develop 3D object representation and recognition [...]

VASC Seminar
Changxi Zheng
Assistant Professor
Columbia University

Computational Acoustic Design: From the Virtual to the Real

Event Location: Newell Simon Hall 1507Bio: Changxi Zheng is an Assistant Professor of Computer Science at Columbia University. Prior to joining Columbia, he received his M.S. and Ph.D. from Cornell University, and his B.S. from Shanghai Jiaotong University. His research spans computer graphics, physically-based simulation, computational design, computational acoustics, scientific computing and robotics, with a [...]

VASC Seminar
Saurabh Gupta
Graduate Student
University of California, Berkeley

Scene Understanding from RGB-D Images

Event Location: 1507 Newell Simon HallBio: Saurabh Gupta is a Ph.D. student at UC Berkeley, where he is advised by Jitendra Malik. His research interests include computer vision and machine learning. During his PhD he has studied the problem of scene understanding from RGB-D images. His work has been supported by the Berkeley Fellowship and [...]