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My ICASSP 2020 Schedule

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WE1.I: Learning Based Inversion

Session Type: Lecture
Time: Wednesday, 6 May, 09:00 - 11:00
Location: On-Demand
Session Chairs: Emilie Chouzenoux, Inria saclay and Angshul Majumdar, Institute of Information Technology Delhi
 
   WE1.I.1: OPTIMAL TRANSPORT STRUCTURE OF CYCLEGAN FOR UNSUPERVISED LEARNING FOR INVERSE PROBLEMS
         Byeongsu Sim; Korea Advanced Institute of Science and Technology (KAIST)
         Gyutaek Oh; Korea Advanced Institute of Science and Technology (KAIST)
         Jong Chul Ye; Korea Advanced Institute of Science and Technology (KAIST)
 
   WE1.I.2: LIGHT-FIELD RECONSTRUCTION AND DEPTH ESTIMATION FROM FOCAL STACK IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
         Zhengyu Huang; University of Michigan
         Jeffrey Fessler; University of Michigan
         Theodore Norris; University of Michigan
         Il Yong Chun; University of Hawai'i at Mānoa
 
   WE1.I.3: JOINT LEARNING OF CARTESIAN UNDERSAMPLING AND RECONSTRUCTION FOR ACCELERATED MRI
         Tomer Weiss; Technion - Israel Institute of Technology
         Sanketh Vedula; Technion - Israel Institute of Technology
         Ortal Senouf; Technion - Israel Institute of Technology
         Oleg Michailovich; University of Waterloo
         Michael Zibulevsky; Technion - Israel Institute of Technology
         Alex Bronstein; Technion - Israel Institute of Technology
 
   WE1.I.4: BUILDING FIRMLY NONEXPANSIVE CONVOLUTIONAL NEURAL NETWORKS
         Matthieu Terris; Heriot-Watt University
         Audrey Repetti; Heriot-Watt University
         Jean-Christophe Pesquet; Université Paris-Saclay, CentraleSupélec, Inria
         Yves Wiaux; Heriot-Watt University
 
   WE1.I.5: CONFIRMNET: CONVOLUTIONAL FIRMNET AND APPLICATION TO IMAGE DENOISING AND INPAINTING
         Praveen Kumar Pokala; Indian Institute of Science
         Prakash Kumar Uttam; Indian Institute of Science
         Chandra Sekhar Seelamantula; Indian Institute of Science
 
   WE1.I.6: LEARNING DIFFERENTIABLE SPARSE AND LOW RANK NETWORKS FOR AUDIO-VISUAL OBJECT LOCALIZATION
         Jie Pu; Imperial College London
         Yannis Panagakis; University of Athens
         Maja Pantic; Imperial College London