(Higher-Order) Graphical Models & Visual Perception

Speaker:        Professor Nikos Paragios
                CentraleSupelec
                INRIA

Title:          "(Higher-Order) Graphical Models & Visual Perception"

Date:           Wednesday, 25 March 2015

Time:           11:00am - 12 noon

Venue:          Lecture Theatre F (near lifts 25/26), HKUST

Abstract:

Computational vision and biomedical image have made tremendous progress of
the past decade. This is mostly due the development of efficient learning
and inference algorithms which allow better, faster and richer modeling of
visual perception tasks. Graph-based representations are among the most
prominent tools to address such perception through the casting of
perception as a graph optimization problem. In this paper, we briefly
introduce the interest of such representations, discuss their strength and
limitations and present their application to address a variety of problems
in computer vision and biomedical image analysis.


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Biography:

Nikos Paragios (D.Sc. (05), PhD (00), M.Sc. (96), B.Sc. (94))  is
professor of Applied Mathematics / director of the Center for Visual
Computing at CentraleSupelec, while being scientific leader of GALEN group
of INRIA Saclay, Ile-de-France. He is an IEEE Fellow (2011), Senior Fellow
of the Insitut Universitaire de France (2014), has co-edited four books,
published more than two hundred papers in the most prestigious journals
and conferences of medical imaging and computer vision, and holds twenty
three US patents. Professor Paragios is the editor in chief of the
Computer Vision and Image Understanding  Journal (CVIU) and has
served/serves as an associate/area editor/member of the editorial board
for the IEEE Transactions on Pattern Analysis and Machine Intelligence
(PAMI), the Computer Vision and Image Understanding  Journal (CVIU), the
International Journal of Computer Vision (IJCV), the Medical Image
Analysis Journal (MedIA), the Journal of Mathematical Imaging and Vision
(JMIV), the Imaging and Vision Computing Journal (IVC), the Machine Vision
and Applications (MVA) Journal and the SIAM Journal in Imaging Sciences
(SIIMS) and serves regularly at the conference board of the most
prestigious events of his fields (ICCV, CVPR, ECCV, MICCAI).  He was one
of the program chairs of the 11th European Conference in Computer Vision
(ECCV'10, Heraklion, Crete) and his research interests include computer
vision, biomedical image analysis and machine learning.