(Higher-order) Graphical models & visual perception
Event details
| Date | 06.10.2016 |
| Hour | 11:15 › 12:30 |
| Speaker | Nikos Paragios, CentraleSupelec/University of Paris-Saclay/Inria |
| Location |
ELA 1
|
| Category | Conferences - Seminars |
Computational vision, visual computing and biomedical image analysis have made tremendous progress of the past decade. This is mostly due the development of efficient learning and inference algorithms which allow better and richer modeling of visual perception tasks. Hyper-Graph representations are among the most prominent tools to address such perception through the casting of perception as a graph optimization problem.
In this talk, we briefly introduce the interest of such representations, discuss their strength and limitations, provide appropriate strategies for their inference learning and present their application to address a variety of problems of visual computing.
Bio: Nikos Paragios is professor of Applied Mathematics and Computer Science, director of the Center for Visual Computing of CentraleSupelec/University of Paris-Saclay, affiliated scientific leader at Inria and senior fellow of mathematics at the Institut Universitaire de France. He is an IEEE Fellow (2011), has co-edited four books, published more than two hundred papers in the most prestigious journals and conferences of medical imaging and computer vision (DBLP server), and holds twenty five international patents. His work has approx 16,750 citations according to Google Scholar and his H-number (09/2016) is 61.
He is the Editor in Chief of the Computer Vision and Image Understanding Journal and serves as a member of the editorial board for the Medical Image Analysis Journal (MedIA) and the SIAM Journal in Imaging Sciences (SIIMS). He as served 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) and the Journal of Mathematical Imaging and Vision (JMIV) while he was one of the program chairs of the 11th European Conference in Computer Vision (ECCV'10, Heraklion, Crete), is the program chair of the upcoming IEEE International Conference in Computer Vision (ICCV) 2019 edition (Seoul) and serves regularly at the conference boards of the most prestigious events of his fields (ICCV, CVPR, ECCV, MICCAI). Professor Paragios is member of the scientific council of SAFRAN conglomerate and of the University of Paris-Descartes. His research interests are in the area of computer vision, biomedical image analysis and machine learning/optimization.
In this talk, we briefly introduce the interest of such representations, discuss their strength and limitations, provide appropriate strategies for their inference learning and present their application to address a variety of problems of visual computing.
Bio: Nikos Paragios is professor of Applied Mathematics and Computer Science, director of the Center for Visual Computing of CentraleSupelec/University of Paris-Saclay, affiliated scientific leader at Inria and senior fellow of mathematics at the Institut Universitaire de France. He is an IEEE Fellow (2011), has co-edited four books, published more than two hundred papers in the most prestigious journals and conferences of medical imaging and computer vision (DBLP server), and holds twenty five international patents. His work has approx 16,750 citations according to Google Scholar and his H-number (09/2016) is 61.
He is the Editor in Chief of the Computer Vision and Image Understanding Journal and serves as a member of the editorial board for the Medical Image Analysis Journal (MedIA) and the SIAM Journal in Imaging Sciences (SIIMS). He as served 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) and the Journal of Mathematical Imaging and Vision (JMIV) while he was one of the program chairs of the 11th European Conference in Computer Vision (ECCV'10, Heraklion, Crete), is the program chair of the upcoming IEEE International Conference in Computer Vision (ICCV) 2019 edition (Seoul) and serves regularly at the conference boards of the most prestigious events of his fields (ICCV, CVPR, ECCV, MICCAI). Professor Paragios is member of the scientific council of SAFRAN conglomerate and of the University of Paris-Descartes. His research interests are in the area of computer vision, biomedical image analysis and machine learning/optimization.
Practical information
- Informed public
- Free
- This event is internal
Organizer
- LTS4
Contact
- Prof. Pascal Frossard