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 [...]

VASC Seminar
Jianbo Shi
Professor
University of Pennsylvania

Inside-out: First Person Vision for Personalized Intelligence

Event Location: Gates 2109Bio: Jianbo Shi studied Computer Science and Mathematics as an undergraduate at Cornell University where he received his B.A. in 1994. He received his Ph.D. degree in Computer Science from University of California at Berkeley in 1998. He joined The Robotics Institute at Carnegie Mellon University in 1999 as a research faculty, [...]

VASC Seminar
Matthias Niessner
Visiting Assistant Professor
Stanford

Reconstruction and Understanding of Indoor Environments

Event Location: Gates 8102Bio: Matthias Niessner is a visiting assistant professor at Stanford University. Previous to his appointment at Stanford, he earned his PhD from the University of Erlangen-Nuremberg, Germany under the supervision of Günther Greiner. His research focuses on different fields of computer graphics and computer vision, including the reconstruction and semantic understanding of [...]

VASC Seminar
Sanja Fidler
Assistant Professor
University of Toronto

Towards Understanding Stories from Videos

Event Location: Newell Simon Hall 1507Bio: Sanja Fidler is an Assistant Professor at the Department of Computer Science, University of Toronto. Previously she was a Research Assistant Professor at TTI-Chicago, a philanthropically endowed academic institute located in the campus of the University of Chicago. She was a postdoctoral fellow at University of Toronto during 2011-2012. [...]