VASC Seminar
Matthew Trager
PhD Student
Inria/ENS Paris

The joint image variety

Event Location: NSH 1507Bio: Matthew Trager is a second year PhD student at Inria/ENS Paris. In 2014 he received a master's in applied mathematics (Degree in Mathematics, Machine Learning and Computer Vision "MVA") from École Normale Supérieure de Cachan. Previously, he received a master's in pure mathematics from Scuola Normale Superiore in Pisa. His research [...]

VASC Seminar
Aleix Martinez
Professor
The Ohio State University

My Adventured with Bayes: In search of optimal solutions in machine learning, computer vision and beyond

Event Location: NSH 1507Bio: Aleix M. Martinez is a Professor in the Department of Electrical and Computer Engineering at The Ohio State University (OSU), where he is the founder and director of the Computational Biology and Cognitive Science Lab. He is also affiliated with the Department of Biomedical Engineering and to the Center for Cognitive [...]

RI Seminar
Matei Ciocarlie
Assistant Professor
Columbia University

Versatility in Robotic Manipulation: the Long Road to Everywhere

Event Location: NSH 1305Bio: Matei Ciocarlie is an assistant professor of Mechanical Engineering and affiliate assistant professor of Computer Science at Columbia University. His main interest is in reliable robotic manipulation in unstructured, human environments, focusing on areas such as novel hand designs and control, autonomous and Human-in-the-Loop mobile manipulation, shared autonomy, teleoperation, and assistive [...]

VASC Seminar
Matthew Loper
Research Engineer
Industrial Light and Magic

OpenDR: An Approximate Differentiable Renderer

Event Location: NSH 1507Bio: Matthew Loper is a research engineer at Industrial Light and Magic, and a PhD candidate at the University of Tuebingen. He received his ScM from Brown University in 2008. His current research interests include differentiable rendering and statistical body shape modeling.Abstract: Inverse graphics attempts to take sensor data and infer 3D [...]

VASC Seminar
Ognjen Rudovic
Research Fellow
Imperial College London, UK

Context-sensitive Dynamic Ordinal Regression for Human Facial Behaviour Analysis

Event Location: NSH 1507Bio: Ognjen Rudovic received a PhD from Department of Computing, Imperial College London, UK, in 2014, an MSc degree in Computer Vision and Artificial Intelligence from Computer Vision Centre (CVC), Barcelona, Spain, in 2008, and BSc in Automatic Control Theory from Electrical Engineering Dept., University Of Belgrade, Serbia, in 2007. He is [...]

RI Seminar
Louis-Philippe Morency
Assistant Professor
LTI

Multimodal Machine Learning: Modeling Human Communication Dynamics

Event Location: NSH 1305Bio: Louis-Philippe Morency is Assistant Professor in the Language Technology Institute at the Carnegie Mellon University where he leads the Multimodal Communication and Machine Learning Laboratory (MultiComp Lab). He received his Ph.D. and Master degrees from MIT Computer Science and Artificial Intelligence Laboratory. In 2008, Dr. Morency was selected as one of [...]

VASC Seminar
Chen Sun
PhD Candidate
University of Southern California

Towards Large-scale Video Understanding

Event Location: NSH 1507Bio: Chen Sun is a Ph.D. candidate in the Computer Vision group at University of Southern California, advised by Prof. Ram Nevatia. His research interest includes Computer Vision and Machine Learning, with a focus on large-scale video understanding. Chen got his bachelor degree in Computer Science at Tsinghua University, Beijing. He has [...]

VASC Seminar
Vijay Mahadevan
Research Scientist
Yahoo! Labs, Sunnyvale, CA

Learning optimal seeds for diffusion based salient object detection

Event Location: NSH 1507Bio: Vijay Mahadevan is Research Scientist at Yahoo Labs in Sunnyvale, CA. He received the Ph.D degree in Electrical Engineering from UC San Diego. He also has an M.S. from Rensselaer, and a B.Tech from Indian Institute of Technology, Madras. His interests are in the areas of computer vision, machine learning and [...]

RI Seminar
Sonia Chernova
Assistant Professor
Georgia Institute of Technology

Crowds and Robots: Leveraging the Web to Advance Robot Autonomy

Event Location: NSH 1305Bio: Sonia Chernova is the Catherine M. and James E. Allchin Early-Career Assistant Professor in the School of Interactive Computing, and the director of the Robot Autonomy and Interactive Learning (RAIL) lab. Her research interests span robotics, interactive machine learning, adjustable autonomy, human computation and human-robot interaction. Dr. Chernova received her Ph.D. [...]