All times are in Alaska local time (AKDT/UTC−08:00)
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 |