Technical Program

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TEC-1: Restoration and Enhancement 1

Interactive Q&A Time: Tuesday, September 21, 13:30 - 15:00
Session Chair: Denis Kouame, University of Toulouse III
 
 TEC-1.1: CONTEXTUAL COLORIZATION AND DENOISING FOR LOW-LIGHT ULTRA HIGH RESOLUTION SEQUENCES
         Nantheera Anantrasirichai; University of Bristol
         David Bull; University of Bristol
 
 TEC-1.2: IMAGE DENOISING INSPIRED BY QUANTUM MANY-BODY PHYSICS
         Sayantan Dutta; Institut de Recherche en Informatique de Toulouse, UMR CNRS 5505, Université de Toulouse
         Adrian Basarab; Institut de Recherche en Informatique de Toulouse, UMR CNRS 5505, Université de Toulouse
         Bertrand Georgeot; Laboratoire de Physique Théorique, Université de Toulouse, CNRS, UPS
         Denis Kouamé; Institut de Recherche en Informatique de Toulouse, UMR CNRS 5505, Université de Toulouse
 
 TEC-1.3: R3L: CONNECTING DEEP REINFORCEMENT LEARNING TO RECURRENT NEURAL NETWORKS FOR IMAGE DENOISING VIA RESIDUAL RECOVERY
         Rongkai Zhang; Nanyang Technological University
         Jiang Zhu; Nanyang Technological University
         Zhiyuan Zha; Nanyang Technological University
         Justin Dauwels; Delft University of Technology
         Bihan Wen; Nanyang Technological University
 
 TEC-1.4: DEEP GAUSSIAN DENOISER EPISTEMIC UNCERTAINTY AND DECOUPLED DUAL-ATTENTION FUSION
         Xiaoqi Ma; École Polytechnique Fédérale de Lausanne (EPFL)
         Xiaoyu Lin; École Polytechnique Fédérale de Lausanne (EPFL)
         Majed El Helou; École Polytechnique Fédérale de Lausanne (EPFL)
         Sabine Süsstrunk; École Polytechnique Fédérale de Lausanne (EPFL)
 
 TEC-1.5: HYPERSPECTRAL IMAGE DENOISING WITH LOG-BASED ROBUST PCA
         Yang Liu; Qingdao University
         Qian Zhang; Qingdao University
         Yongyong Chen; Harbin Institute of Technology
         Qiang Cheng; University of Kentucky
         Chong Peng; Qingdao University
 
 TEC-1.6: LOW-DOSE CT DENOISING USING A STRUCTURE-PRESERVING KERNEL PREDICTION NETWORK
         Lu Xu; The Chinese University of Hong Kong
         Yuwei Zhang; Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer
         Ying Liu; Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer
         Daoye Wang; ETH Zurich
         Mu Zhou; SenseBrain Technology Limited LLC
         Jimmy Ren; SenseTime Research; Qing Yuan Research Institute, Shanghai Jiao Tong University
         Jingwei Wei; Institute of Automation, Chinese Academy of Sciences
         Zhaoxiang Ye; Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer
 
 TEC-1.7: LOW-RANK REGULARIZED JOINT SPARSITY FOR IMAGE DENOISING
         Zhiyuan Zha; Nanyang Technological University
         Bihan Wen; Nanyang Technological University
         Xin Yuan; Nokia Bell Labs
         Jiantao Zhou; University of Macau
         Ce Zhu; University of Electronic Science and Technology of China
 
 TEC-1.8: AN INTERPRETATION OF REGULARIZATION BY DENOISING AND ITS APPLICATION WITH THE BACK-PROJECTED FIDELITY TERM
         Einav Yogev-Ofer; Tel-Aviv University
         Tom Tirer; Tel-Aviv University
         Raja Giryes; Tel-Aviv University
 
 TEC-1.9: COLOR CHANNEL FUSION NETWORK FOR LOW-LIGHT IMAGE ENHANCEMENT
         Lingchao Zhao; Tianjin University
         Xiaolin Gong; Tianjin University
         Kaihua Liu; Tianjin University
         Jian Wang; Tianjin University
         Bai Zhao; Tianjin University
         Yu Liu; Tianjin University
 
 TEC-1.10: A SINGLE BACKLIT IMAGE ENHANCEMENT METHOD FOR IMPROVEMENT OF VISIBILITY OF DARK PART
         Masato Akai; Yamaguchi University
         Yoshiaki Ueda; Fukuoka University
         Takanori Koga; Kindai University
         Noriaki Suetake; Yamaguchi University
 
 TEC-1.11: INTEGRATION-AND-DIFFUSION NETWORK FOR LOW-LIGHT IMAGE ENHANCEMENT
         Pengliang Tang; Beijing University of Posts and Telecommunications
         Xiaoqiang Guo; Academy of Broadcasting Science
         Guodong Ju; GuangDong TUS-TuWei Technology Co.,Ltd
         Liangheng Shen; GuangDong TUS-TuWei Technology Co.,Ltd
         Aidong Men; Beijing University of Posts and Telecommunications
 
 TEC-1.12: SUBBAND ADAPTIVE ENHANCEMENT OF LOW LIGHT IMAGES USING WAVELET-BASED CONVOLUTIONAL NEURAL NETWORKS
         Zhe Ji; Xidian University
         Cheolkon Jung; Xidian University