VASC Seminar
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 [...]
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 [...]
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 [...]
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 [...]
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 [...]
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, [...]
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 [...]
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. [...]