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TH3.I: Inverse Problems in Image/Video Processing III

Session Type: Poster

Time: Thursday, 7 May, 16:30 - 18:30

Location: On-Demand

Session Chair: Amit Roy-Chowdhury, University of California, Riverside

TH3.I.1: VIDEO FRAME INTERPOLATION VIA RESIDUE REFINEMENT

Haopeng Li; Northwestern Polytechnical University

Yuan Yuan; Northwestern Polytechnical University

Qi Wang; Northwestern Polytechnical University

TH3.I.2: ATTENTION-GUIDED DERAINING NETWORK VIA STAGE-WISE LEARNING

Kui Jiang; Wuhan University

Zhongyuan Wang; Wuhan University

Peng Yi; Wuhan University

Chen Chen; University of North Carolina - Charlotte

Yuhong Yang; Wuhan University

Xin Tian; Wuhan University

Junjun Jiang; Harbin Institute of Technology

TH3.I.3: ATTENTION-MASK DENSE MERGER (ATTENDENSE) DEEP HDR FOR GHOST REMOVAL

Kareem Metwaly; Pennsylvania State University

Vishal Monga; Pennsylvania State University

TH3.I.4: Y-NET: MULTI-SCALE FEATURE AGGREGATION NETWORK WITH WAVELET STRUCTURE SIMILARITY LOSS FUNCTION FOR SINGLE IMAGE DEHAZING

Hao-Hsiang Yang; ASUS Intelligent Cloud Services

Chao-Han Huck Yang; Georgia Institute of Technology

Yi-Chang James Tsai; Georgia Institute of Technology

TH3.I.5: IMAGE SUPER-RESOLUTION USING RESIDUAL GLOBAL CONTEXT NETWORK

Kuangye Liu; Wuhan University

Zhen Han; Wuhan University

Junkui Chen; Wuhan University

Chunlei Liu; Wuhan University

Jun Chen; Wuhan University

Zhongyuan Wang; Wuhan University

TH3.I.6: PRINCIPLE-INSPIRED MULTI-SCALE AGGREGATION NETWORK FOR EXTREMELY LOW-LIGHT IMAGE ENHANCEMENT

Jiaao Zhang; Dalian University of Technology

Risheng Liu; Dalian University of Technology

Long Ma; Dalian University of Technology

Wei Zhong; Dalian University of Technology

Xin Fan; Dalian University of Technology

Zhongxuan Luo; Dalian University of Technology

TH3.I.7: NON-LOCAL NESTED RESIDUAL ATTENTION NETWORK FOR STEREO IMAGE SUPER-RESOLUTION

Wangduo Xie; Shenzhen Graduate School of Peking University

Jian Zhang; Shenzhen Graduate School of Peking University

Zhisheng Lu; Shenzhen Graduate School of Peking University

Meng Cao; Shenzhen Graduate School of Peking University

Yong Zhao; Shenzhen Graduate School of Peking University

TH3.I.8: OPENDENOISING: AN EXTENSIBLE BENCHMARK FOR BUILDING COMPARATIVE STUDIES OF IMAGE DENOISERS

Florian Lemarchand; Institut d'Eléctronique et de Télécommunications de Rennes

Eduardo Fernandes Montesuma; Institut d'Eléctronique et de Télécommunications de Rennes

Maxime Pelcat; Institut d'Eléctronique et de Télécommunications de Rennes

Erwan Nogues; DGA-MI

TH3.I.9: SDTCN: SIMILARITY DRIVEN TRANSMISSION COMPUTING NETWORK FOR IMAGE DEHAZING

Libao Zhang; Beijing Normal University

Shan Wang; Beijing Normal University

Xiaohan Wang; Beijing Normal University

TH3.I.10: JOINT ENHANCEMENT AND DENOISING OF LOW LIGHT IMAGES VIA JND TRANSFORM

Long Yu; Xidian University

Haonan Su; Xidian University

Cheolkon Jung; Xidian University

TH3.I.11: ADVERSARIAL TEXT IMAGE SUPER-RESOLUTION USING SINKHORN DISTANCE

Cong Geng; Shanghai Jiao Tong University

Li Chen; Shanghai Jiao Tong University

Xiaoyun Zhang; Shanghai Jiao Tong University

Zhiyong Gao; Shanghai Jiao Tong University

TH3.I.12: ADRN: ATTENTION-BASED DEEP RESIDUAL NETWORK FOR HYPERSPECTRAL IMAGE DENOISING

Yongsen Zhao; Harbin Institute of Technology

Deming Zhai; Harbin Institute of Technology

Junjun Jiang; Harbin Institute of Technology

Xianming Liu; Harbin Institute of Technology