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 [...]

PhD Thesis Defense
Xuehan Xiong
Carnegie Mellon University

Supervised Descent Method

Event Location: GHC 8102Abstract: In this dissertation, we focus on solving NLS problems using a supervised approach. In particular, we developed a Supervised Descent Method (SDM), performed thorough theoretical analysis, and demonstrated its effectiveness on optimizing analytic functions, and four other real-world applications: Inverse Kinematics, Rigid Tracking, Face Alignment (frontal and multi-view), and 3D Object [...]

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 [...]

PhD Thesis Defense
Mark Desnoyer
Carnegie Mellon University

Visual Utility – A Framework for Focusing Computer Vision Algorithms

Event Location: NSH 3305Abstract: The real world is a rich environment, fraught with complexity. To be robust in this complex environment, computer Vision algorithms that operate in Unstructured Environments (VUE) tend to use large amounts of data or complex modeling. Unfortunately, these algorithms also require significant computational resources. In this thesis, we examine a visual [...]

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 [...]