RI Seminar
Gregory S. Chirikjian
Professor, Mechanical Engineering
Johns Hopkins University

Stochastic Models in Robotics

Event Location: NSH 1305Bio: Gregory S. Chirikjian received undergraduate degrees from Johns Hopkins University in 1988, and the Ph.D. degree from the California Institute of Technology, Pasadena, in 1992. Since 1992, he has been on the faculty of the Department of Mechanical Engineering, Johns Hopkins University, where he has been a full professor since 2001. [...]

Field Robotics Center Seminar
Sebastian Dingler
Karlsruhe Institute of Technology

Using Lidar and Monoscopic Camera for Bridge Reconstruction

Event Location: GHC 2109Bio: Sebastian Dingler is a visiting master's student form the Karlsruhe Institute of Technology (KIT), Germany. He is currently working with the Aerial Robotic Infrastructure Analyst (ARIA) and is advised by Sebastian Scherer. He received his Bachelor of Engineering (B.Eng.) in Computer Engineering from the University of Applied Science Esslingen, Germany in [...]

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 [...]

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 [...]