Seminar
Correlation Filters : Theory and Applications
Event Location: NSH 1507Bio: Vishnu Naresh Boddeti received a PhD in Electrical and Computer Engineering from Carnegie Mellon University in 2012. He is currently a Postdoctoral Fellow in the Robotics Institute at Carnegie Mellon University. His research interests are in Computer Vision, Machine Learning and Pattern Recognition. He received the best paper award at BTAS [...]
Biomedical Image Guidance: BIG Ideas for Improving the Tools of Medicine
Event Location: NSH 1305Bio: John Galeotti received BS and MS degrees in Computer Engineering from North Carolina State University (2001, 2002), and MS and PhD degrees in Robotics from Carnegie Mellon University (2005, 2007). He is currently a senior project scientist at Carnegie Mellon University’s Robotics Institute, as well as an adjunct assistant professor with [...]
Advancing visual recognition with big data
Event Location: NSH 1507Bio: Jia Deng is a Visiting Assistant Professor in the EECS department of the University of Michigan, where he will start as an Assistant Professor in Fall 2014. He received his Ph.D. from Princeton University in 2012 and his B.Eng. from Tsinghua University, both in computer science. He has been co-organizing the [...]
How the mechanics of the fingertip impact the tactile and gripping function of the hand
Event Location: NSH 1305Bio: Vincent Hayward (Dr.-Ing., 1981 Univ. de Paris XI) was Postoctoral Fellow then Visiting Assistant Professor (1982) at Purdue University, and joined CNRS, France, as Chargé de Recherches in 1983. In 1987, he joined the Department of Electrical and Computer Engineering at McGill University as assistant, associate and then full professor (2006). [...]
Integrating Robots into Team-Oriented Environments
Event Location: NSH 1305Bio: Julie Shah is an Assistant Professor in the Department of Aeronautics & Astronautics and leads the Interactive Robotics Group of the Computer Science & Artificial Intelligence Laboratory. Shah received her SB (2004) and SM (2006)from the Department of Aeronautics and Astronautics at MIT, and her PhD (2010) in Autonomous Systems from [...]
Automatic Viewpoint Alignment and Deformation of 3D Models to Match Photographs Exactly
Event Location: NSH 1507Bio: Natasha Kholgade is a fifth year Ph.D. student at the Robotics Institute at Carnegie Mellon University. Her research lies at the intersection of computer graphics and computer vision. She is especially interested in extraction, manipulation, and editing of three-dimensional information in images. Prior to attending Carnegie Mellon, she received her B.S. [...]
High-level verifiable robotics
Event Location: NSH 1305Bio: Hadas Kress-Gazit is an Assistant Professor at the Sibley School of Mechanical and Aerospace Engineering at Cornell University. She received her Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania in 2008 and has been at Cornell since 2009. Her research focuses on formal methods for robotics and automation [...]
Object detection with parsimony
Event Location: NSH 1507Bio: Hyun Oh Song is a Ph.D. candidate in Computer Science at UC Berkeley. He is a recipient of five year Ph.D. fellowship from Samsung Lee Kun Hee Scholarship Foundation. His research interest lies at the intersection between computer vision, machine learning and optimization with an application focus in large scale object [...]
From Geometry to Startups—The Rise of a New Robotics Industry in China
Event Location: NSH 1305Bio: Zexiang Li attended the South-Central University in 1978, received his BS (with honor) degrees in Electrical Engineering and Economics from Carnegie-Mellon University in 1983, his MS degree in EECS in 1985, MA in mathematics and PhD in EECS in 1989, all from the University of California at Berkeley. He worked at [...]
Data-driven Exemplar Model Selection
Event Location: NSH 1507Bio: Ishan Misra is a Masters student at the Robotics Institute and is advised by Prof. Martial Hebert. He works in computer vision, specifically on object recognition and semi-supervised learning.Abstract: We consider the problem of discovering discriminative exemplars suitable for object detection. Due to the diversity in appearance in real world objects, [...]