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, [...]
Organ-Mounted Robots for Minimally Invasive Beating-Heart Surgery
Event Location: NSH 1507Abstract: In the push to improve patient outcomes in cardiac interventions, minimally invasive beating-heart surgery is a major field of surgical research. However, interventions on a soft tissue organ under continuous motion through remote incisions pose a significant challenge. Endoscopic approaches eliminate the associated morbidity of median sternotomy, but they require either [...]
Planning for a Small Team of Heterogeneous Robots: from Collaborative Exploration to Collaborative Localization
Event Location: GHC 8102Abstract: Robots have become increasingly adept at performing a wide variety of tasks in the world. However, many of these tasks can benefit tremendously from having more than a single robot simultaneously working on the problem. Multiple robots can aid in a search and rescue mission each scouting a subsection of the [...]
The theory and implementation of spring mass running on ATRIAS, a bipedal robot
Event Location: GHC 8102Abstract: We expect legged robots to be highly mobile. Human walking and running can execute quick changes in speed and direction, even on non-flat ground. Indeed, analysis of simplified models shows that these quantities can be tightly controlled by adjusting the leg placement between steps and that the leg placement can also [...]
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 [...]