SS_6: Advanced Optimization Methods for Learning in Image Processing |
Session Type: Lecture |
Time: Thursday, September 1, 11:00 - 12:40 |
Location: Adriatic |
Session Chair: Audrey Repetti, Heriot-Watt University
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SS_6.1: THE FASTER PROXIMAL ALGORITHM, THE BETTER UNFOLDED DEEP LEARNING ARCHITECTURE ? THE STUDY CASE OF IMAGE DENOISING. |
Hoang Trieu Vy LE, Nelly Pustelnik, Univ Lyon, ENS de Lyon, CNRS, Laboratoire de Physique, France; Marion Foare, Univ Lyon, Ens de Lyon, Univ Lyon 1, CNRS, INRIA, LIP, France |
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SS_6.2: LEARNING THE IMAGE PRIOR BY UNROLLING AN OPTIMIZATION METHOD |
Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato, Unimore, Italy |
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SS_6.3: DUAL FORWARD-BACKWARD UNFOLDED NETWORK FOR FLEXIBLE PLUG-AND-PLAY |
Audrey Repetti, Matthieu Terris, Yves Wiaux, Heriot-Watt University, United Kingdom; Jean-Christophe Pesquet, CentraleSupelec, France |
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SS_6.4: CONSTRAINED DEEP NETWORKS: LAGRANGIAN OPTIMIZATION VIA LOG-BARRIER EXTENSIONS |
Hoel Kervadec, Erasmus MC, Netherlands; Jose Dolz, Christian Desrosiers, Eric Granger, Ismail Ben Ayed, ÉTS Montréal, Canada; Jing Yuan, Xidian University, China |
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