Seminar
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, [...]
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 [...]
Interactive Image Search with Attributes
Event Location: NSH 3305Bio: Adriana Kovashka is a PhD candidate in the Department of Computer Science at The University of Texas at Austin. Her advisor is Professor Kristen Grauman. Adriana received her B.A. in Computer Science and Media Studies from Pomona College, CA, in May 2008. Her research interests primarily lie in computer vision, with [...]
Human-Centered Methods for Designing Robotic Products
Event Location: NSH 1305Bio: Bilge Mutlu is an assistant professor of computer science, psychology, and industrial engineering at the University of Wisconsin–Madison. He received his Ph.D. degree from Carnegie Mellon University's Human-Computer Interaction Institute in 2009. His background combines training in interaction design, human-computer interaction, and robotics with industry experience in product design and development. [...]
PoseMachines: Articulated Human Pose Estimation via Inference Machines
Event Location: NSH 1507Bio: Varun Ramakrishna is a PhD student in the Robotics Institute, advised by Prof. Yaser Sheikh and Prof. Takeo Kanade. His research interests include structured prediction problems in computer vision with a focus on understanding human posture and motion from monocular images and image sequences. Varun was previously a master's student in [...]
Object Recognition from Active Detection to Accurate Pose Estimation
Event Location: 200 Smith HallBio: Menglong Zhu is a Ph.D. candidate in the Department of Computer and Information Science at the University of Pennsylvania. His current research focus is 2D and 3D object recognition and pose estimation. He is also interested in semantic localization, text recognition, and action recognition. He obtained his Master’s degree in [...]
Walk, Bound, Gallop, Climb
Event Location: Rashid Auditorium, 4401 Gates Hillman CenterBio: Marc Raibert is CTO and founder of Boston Dynamics, a company that develops some of the world’s most advanced dynamic robots, such as BigDog, Atlas, Cheetah, SandFlea and the AlphaDog. These robots are inspired by the remarkable ability of animals to move with agility, mobility, speed and [...]