VASC Seminar
Jia Deng
Assistant Professor
University of Michigan

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 [...]

RI Seminar
Vincent Hayward
Professor
University of Pierre and Marie Curie, Paris, France

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). [...]

RI Seminar
Julie A. Shah
Assistant Professor
MIT

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 [...]

VASC Seminar
Natasha Kholgade
PhD Student RI
Carnegie Mellon

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. [...]

RI Seminar
Hadas Kress-Gazit
Assistant Professor
Cornell University

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 [...]

VASC Seminar
Hyun Oh Song
PhD Candidate
UC Berkeley

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 [...]

RI Seminar
Zexiang Li
Professor
Hong Kong University of Science & Technology

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 [...]

VASC Seminar
Ishan Misra
Masters Student, RI
Carnegie Mellon

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, [...]

VASC Seminar
Yuxiong Wang
PhD Student RI
Carnegie Mellon

Model Recommendation for Object Detection

Event Location: NSH 3305Bio: Yuxiong Wang is a PhD student in the Robotics Institute at Carnegie Mellon University, where he is supervised by Prof. Martial Hebert. His research focuses on computer vision and machine learning and he is particularly interested in object recognition problems. Abstract: In this work, we explore an approach to generating detectors [...]