VASC Seminar
Building models of cell organization, differentiation and perturbation directly from microscope images
Event Location: NSH 1507Bio: Dr. Robert F. Murphy is the Ray and Stephanie Lane Professor of Computational Biology and Head of the Computational Biology Department in the School of Computer Science at Carnegie Mellon University. He is also Professor of Biological Sciences, Biomedical Engineering, and Machine Learning at Carnegie Mellon, Honorary Professor of Biology at [...]
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 [...]
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 [...]
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 [...]
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 [...]