Loading Events

« All Events

  • This event has passed.

Spring 2010 GRASP Seminar – Dimitris Metaxas, Rutgers University, “Statistical and Physics-Based Modeling Methods for Data Analysis and Synthesis”

April 16, 2010 @ 11:00 am - 12:00 pm

Abstract: We will first
present a new class of model-based learning methods which include hypergraph
and structured sparse learning for vision understanding. In our hypergraph framework,
a hyperedge is defined by a set of vertices with similar attributes. The
complex relationship between the mages can be easily represented by different
hyperedges according to different visual cues. We applied unsupervised and
semi-supervided hypergraph learning to video object segmentation and image
retrieval. Extensive experiments demonstrate its advantages over traditional
graph models. Our structured sparsity framework is a natural extension of the
standard sparsity concept in statistical learning and compressive sensing. By
allowing arbitrary structures on the feature set, this concept generalizes the
group sparsity idea. A general theory is developed for learning with structured
sparsity, based on the notion of coding complexity associated with the
structure. We will show applications in sparse learning, compressive sensing,
computer vision and medical imaging. Time permitting we will show applications
of stochastic deformable models to facial tracking, body tracking, ASL
recognition and cardiac motion analysis/simulation.


- Learn More

Dimitris Metaxas is a Professor II (Distinguished) in the Computer Science
Department at Rutgers. He got his PhD in 1992 from the University of Toronto
and was on the faculty at UPENN from 1992 to 2002. He is currently directing
the Center for Computational Biomedicine, Imaging and Modeling (CBIM). Dr.
Metaxas has been conducting research towards the development of formal methods
upon which both computer vision, computer graphics and medical imaging can advance
synergistically, as well as on massive data analytics problems.In computer vision, he works on the
simultaneous segmentation and fitting of complex objects, shape representation,
deterministic and statistical object tracking, learning, ASL and human activity
recognition. In medical image analysis, he works on segmentation, registration
and classification methods for cardiac and cancer applications. In computer
graphics he is working on physics-based special effects methods for animation.
He has pioneered the use of Navier-Stokes methods for fluid animations that
were used in the Movie “Antz” in 1998 by his student Nick Foster. Dr. Metaxas
has published over 350 research articles in these areas and has graduated 27
PhD students. His research has been funded by NSF, NIH, ONR, DARPA, AFOSR and
the ARO. He is on the Editorial Board of Medical Imaging, an Associate Editor
of GMOD, and CAD. Dr. Metaxas received several best paper awards for his work
on in the above areas. He is an ONR YIP and a Fellow of the American Institute
of Medical and Biological Engineers. He has been a Program Chair of ICCV 2007,
a General Chair of MICCAI 2008 and will be a General Chair of ICCV 2011.


April 16, 2010
11:00 am - 12:00 pm
Event Category: