Seminar
Recovery of Function in Major Spinal Cord Injury Using Epidural Stimulation
Event Location: NSH 1305Bio: Joel Burdick received his undergraduate degrees in mechanical engineering and chemistry from Duke University and M.S. and Ph.D. degrees in mechanical engineering from Stanford University. He has been with the department of Mechanical Engineering at the California Institute of Technology since May 1988, where he has been the recipient of the [...]
CANCELEDThe Depth of Our Understanding: Vision, Language, and Humor
Event Location: NSH 1507Bio: C. Lawrence Zitnick is a principal researcher in the Interactive Visual Media group at Microsoft Research, and is an affiliate associate professor at the University of Washington. He is interested in a broad range of topics related to visual object recognition. His current interests include object detection, semantically interpreting visual scenes, [...]
Rich Representations for Parsing Visual Scenes
Event Location: NSH 1507Bio: Greg is an Assistant Professor at TTI-Chicago, a philanthropically endowed academic computer science institute located on the University of Chicago campus, where he works on computer vision and machine learning. He also holds a part-time faculty appointment at the University of Chicago Department of Computer Science. Prior to coming to TTI-Chicago, [...]
Computational Design, Fabrication and Control for Personalized Robotic Devices
Event Location: NSH 1305Bio: I am an Assistant Professor in the Robotics Institute at Carnegie Mellon University. Prior to joining CMU, I was a Research Scientist working for Disney Research Zurich. I obtained my PhD in Computer Science from the University of British Columbia. My doctoral dissertation, which won the Alain Fournier Ph.D. Dissertation Annual [...]
Semantic Component Analysis
Event Location: NSH 1507Abstract: We propose a novel formulation for component analysis that allows for rich instance-level constraints that encourage semantic interpretability of the learned components. Even with simple features and intuitive spatial consistency priors, our method produces accurate, semantically-meaningful image segmentations both with and without supervision.
Webly supervised learning of convolutional networks
Event Location: NSH 1507Bio: I am a PhD student at Language Technology Institute, Carnegie Mellon University, from fall 2012. I am working with Prof. Abhinav Gupta on joint learning with language and vision and life-long learning. I am also working with Prof. Tom Mitchell in CMU. Recently, I just finished my internship in MSR with [...]
Unsupervised Visual Representation Learning by Context Prediction
Event Location: NSH 1507Bio: I'm a sixth year PhD Student in the Machine Learning Department at CMU, working with Alyosha Efros and Abhinav Gupta. I graduated from CMU in 2010 with a B.S. in computer science and cognitive science, with a minor in neural computation, completing an undergraduate thesis with Tai Sing Lee. I'm interested [...]
Panoptic Studio: A Massively Multiview System for Social Motion Capture
Event Location: NSH 1507Bio: I am a Ph.D. student in the Robotics Institute at Carnegie Mellon University, under the supervision of Yaser Sheikh. During summer 2015, I interned at Disney Research Zurich where I worked with Thabo Beeler and Derek Bradley. Before joining CMU, I spent three years as a researcher at ETRI, a government-funded [...]
Agricultural Robotics and the Chilean Challenges
Event Location: GHC 2109Bio: Fernando Auat Cheein received the Doctorate degree in 2009 and the Master of Science degree in 2005, both in San Juan, Argentina. Since 2013 he is a Professor with Federico Santa María Technical University (UTFSM), in Valparaíso, Chile, after doing his post doc research stay in agricultural robotics also in Argentina [...]