W1.R3.4
ADAPTIVE AGGREGATION OF MULTIPLE DENOISERS WITH MISMATCHED CORRELATED NOISE MODELS
Andrea Corsini, Alessandro Foi, Tampere University, Finland
Session:
W1.R3: Recent Advances in Computational Imaging Lecture
Track:
Special Sessions
Location:
Isabela III
Presentation Time:
Wed, 17 Dec, 11:20 - 11:40 AST (UTC -4)
Session Co-Chairs:
Jean-Yves Tourneret, University of TOULOUSE, ENSEEIHT-IRIT-TéSA and Marcus Carlsson, Lund University
Session W1.R3
W1.R3.1: Scale Equivariance Regularization and Feature Lifting in High Dynamic Range Modulo Imaging
Brayan Monroy, Jorge Bacca, Universidad Industrial de Santander, Colombia
W1.R3.2: A NON-PARAMETRIC METHOD BASED ON NEURAL NETWORKS AND PARTICLE FILTERING FOR CAMERA LENS DISTORTION ESTIMATION
Younes Boutiyarzist, ISAE-SUPAERO/TéSA/Collins Aerospace, France; Sinan Yildirim, Sabancı University, Turkey; Jean-Yves Tourneret, IRIT-ENSEEIHT/TéSA, France; François Vincent, ISAE-SUPAERO, France; Cheng Cheng, Northwestern Polytechnical University, China; Philippe Salmon, Collins Aerospace, France
W1.R3.3: Cascade Computation of Second Order Information for Efficient Optimization of Multi-Argument Objective Functionals
Marcus Carlsson, Lund University, Sweden; Jorge Luis Bacca Acosta, Universidad Industrial de Santander, Colombia; Herwig Wendt, University of Toulouse, France; Viktor Nikitin, Argonne National Laboratory, United States
W1.R3.4: ADAPTIVE AGGREGATION OF MULTIPLE DENOISERS WITH MISMATCHED CORRELATED NOISE MODELS
Andrea Corsini, Alessandro Foi, Tampere University, Finland
Contacts