Field Robotics Center Seminar
Michael Furlong
PhD Candidate
Robotics Institute

Application of Optimal Foraging Theory to Science Autonomy

Event Location: GHC 2109Bio: Michael Furlong is a Ph.D. Student in the Field Robotics Center at Carnegie Mellon. He works on the Life in the Atacama Desert project.Abstract: Science Autonomy is an exciting application of Active Learning but it comes with constraints that only appear when the learning agent is embodied. In the case of [...]

RI Seminar
Hod Lipson
Associate Professor
Cornell

Distilling Natural Laws from Experimental Data, from cognitive robotics to computational biology

Event Location: NSH 1305Bio: Hod Lipson is an Associate Professor of Mechanical & Aerospace Engineering and Computing & Information Science at Cornell University in Ithaca, NY. He directs the Creative Machines Lab, which focuses on novel ways for automatic design, fabrication and adaptation of virtual and physical machines. He has led work in areas such [...]

VASC Seminar
Xinlei Chen
PhD Student, Language Technologies Institute
Carnegie Mellon University

NEIL: Extracting Visual Knowledge from Web Data

Event Location: NSH 1507Bio: Xinlei Chen is a PhD student in the Language Technologies Institute at Carnegie Mellon University, where he is supervised by Abhinav Gupta. He holds an Bachelor's degree in Computer Science from Zhejiang University, China. His research focuses on the intersection of computer vision and natural language processing and he is particularly [...]

VASC Seminar
Abhinav Shrivastava
PhD Student, RI
Carnegie Mellon University

Building Parts-based Object Detectors via 3D Geometry

Event Location: NSH 1507Bio: Abhinav Shrivastava is a PhD student in the Robotics Institute at Carnegie Mellon University, where he is supervised by Abhinav Gupta and Alexei A. Efros. He received his Master's degree from the same institute under the supervision of A. A. Efros and Martial Hebert. His research interests span computer vision esp. [...]

VASC Seminar
Carl Doersch
PhD Student, Machine Learning
Carnegie Mellon University

Mid-Level Visual Element Discovery as Discriminative Mode Seeking

Event Location: NSH 1507Bio: Carl Doersch is a PhD student in the Machine Learning Department at CMU, advised by Alyosha Efros and Abhinav Gupta. He holds a bachelor's in computer science/cognitive science and a masters in machine learning, both from CMU. His research focuses on machine learning and computer vision, particularly in the use of [...]

PhD Thesis Defense
Matthew Tesch
Carnegie Mellon University

Improving Robot Locomotion Through Learning Methods for Expensive Black-Box Systems

Event Location: NSH 3305Abstract: The modular snake robots in Carnegie Mellon’s Biorobotics lab provide an intriguing platform for research: they have already been shown to excel at a variety of locomotive tasks and have incredible potential for navigating complex terrains, but much of that potential remains untapped. Unfortunately, many techniques commonly used in robotics prove [...]

VASC Seminar
C. Lawrence Zitnick
Senior Researcher
Microsoft Research

Looking for the Right Line

Event Location: NSH 1507Bio: C. Lawrence Zitnick is a senior researcher in the Interactive Visual Media group at Microsoft Research, Redmond. He is interested in a broad range of topics related to visual object recognition. His current interests include object detection, semantically interpreting visual scenes, and the use of human debugging to identify promising areas [...]

PhD Thesis Proposal
Feng Zhou
Carnegie Mellon University

Spatial, Temporal and Spatio-temporal Correspondence for Computer Vision Problems

Event Location: NSH 1507Abstract: Many computer vision problems, such as object classification, motion estimation or shape registration rely on solving the correspondence problem. Existing algorithms to solve the correspondence problems are usually NP-hard, difficult to approximate and lack mechanism for feature selection. This proposal addresses the correspondence problem in computer vision, and proposes two new [...]

RI Seminar
Chieko Asakawa
IBM Fellow
IBM Research - Tokyo

Can we make our world accessible?

Event Location: NSH 1305Bio: Chieko Asakawa is an IBM Fellow and Chief Technology Officer for Accessibility Research and Technology at IBM Research. Her contributions to Web accessibility include IBM Home Page Reader, one of the first voice browsers for the visually impaired, the aDesigner tool for accessibility evaluation, ai-browser for multimedia content accessibility, and then [...]

VASC Seminar
Pinar Duygulu-Sahin
Assistant Professor
Bilkent University

Towards leveraging large data for video analysis

Event Location: NSH 1507Bio: Pinar Duygulu has received her BSc, MSc and PhD degrees from Department of Computer Engineering at Middle East Technical University, Ankara, Turkey in 1996, 1998 and 2003 respectively. During her PhD, she was a visiting scholar at University of California at Berkeley under the supervision of Prof. David Forsyth. After being [...]