WP-P.PZ5.1

Multifractal anomaly detection in images via space-scale surrogates

Herwig Wendt, Université de Toulouse, CNRS, France; Lorena Leon, Université de Toulouse, France; Jean-Yves Tourneret, Université de Toulouse, INP Toulouse, France; Patrice Abry, ENS de Lyon, France
Session:
Computational Imaging Methods and Models
Poster
Track:
Computational Imaging Methods and Models
Location:
Poster Zone 5
Presentation Time:
Wed, 19 Oct, 22:00 - 00:30 China Standard Time (UTC +8)
Wed, 19 Oct, 16:00 - 18:30 Central European Time (UTC +1)
Wed, 19 Oct, 14:00 - 16:30 UTC
Wed, 19 Oct, 10:00 - 12:30 Eastern Time (UTC -5)
Session Co-Chairs:
Jean-Christophe Pesquet, CentraleSupélec and Andrea Cavallaro, Queen Mary University of London and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session WP-P.PZ5
WP-P.PZ5.1: Multifractal anomaly detection in images via space-scale surrogates
Herwig Wendt, Université de Toulouse, CNRS, France; Lorena Leon, Université de Toulouse, France; Jean-Yves Tourneret, Université de Toulouse, INP Toulouse, France; Patrice Abry, ENS de Lyon, France
WP-P.PZ5.2: FAST FUSION OF HYPERSPECTRAL AND MULTISPECTRAL IMAGES : A TUCKER APPROXIMATION APPROACH
Clémence Prévost, Pierre Chainais, Rémy Boyer, University of Lille, France
WP-P.PZ5.3: Informed spatial regularizations for fast fusion of astronomical images
Claire Guilloteau, Nicolas Dobigeon, IRIT/ENSEEIHT, France; Thomas Oberlin, ISAE-SUPAERO, France; Olivier Berné, IRAP, France
WP-P.PZ5.4: ON THE RELEVANCE OF MULTI-GRAPH MATCHING FOR SULCAL GRAPHS
Rohit Yadav, Sylvain Takerkart, Guillaume Auzias, Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université, CNRS, France; François-Xavier Dupé, Laboratoire d’Informatique et Systèmes UMR 7020, Aix-Marseille Université, CNRS, France
WP-P.PZ5.5: ONE-CYCLE PRUNING: PRUNING CONVNETS WITH TIGHT TRAINING BUDGET
Nathan Hubens, Matei Mancas, Bernard Gosselin, University of Mons, Belgium; Marius Preda, Titus Zaharia, Télécom SudParis, France
WP-P.PZ5.6: Deep coded aperture design: An end-to-end approach for computational imaging tasks
Jorge Bacca, Tatiana Gelvez, Henry Arguello, Universidad Industrial de Santander, Colombia
WP-P.PZ5.7: A FAST AND SCALABLE POLYATOMIC FRANK-WOLFE ALGORITHM FOR THE LASSO
Adrian Jarret, Julien Fageot, Matthieu Simeoni, EPFL, Switzerland
WP-P.PZ5.8: Adaptive Compressive Sampling for Mid-infrared Spectroscopic Imaging
Mahsa Lotfollahi, Nguyen Tran, Chalapathi Gajjela, Sebastian Berisha, Zhu Han, David Mayerich, Rohith Reddy, University of Houston, United States of America
WP-P.PZ5.9: MEMORY-EFFICIENT LEARNED IMAGE COMPRESSION WITH PRUNED HYPERPRIOR MODULE
Ao Luo, Jinming Liu, Waseda University, Tokyo, Japan, China; Heming Sun, Waseda Research Institute for Science and Engineering, Tokyo, Japan; JST, PRESTO, 4-1-8 Honcho, Kawaguchi, Saitama, Japan, China; Jiro Katto, Waseda University, Tokyo, Japan; Waseda Research Institute for Science and Engineering, Tokyo, Japan, Japan