2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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MLR-APPL-IP-1: Machine learning for image processing 1

Session Type: Poster

Time: Monday, September 20, 13:30 - 15:00

Location: Area E

Session Chair: Shan Du,

MLR-APPL-IP-1.1: MULTI-SCALE FEATURE GUIDED LOW-LIGHT IMAGE ENHANCEMENT

Lanqing Guo; Nanyang Technological University

Renjie Wan; Nanyang Technological University

Guan-Ming Su; Dolby Laboratories

Alex C. Kot; Nanyang Technological University

Bihan Wen; Nanyang Technological University

MLR-APPL-IP-1.2: CASCADE ATTENTION BLEND RESIDUAL NETWORK FOR SINGLE IMAGE SUPER-RESOLUTION

Tianyu Chen; Southwest University

Guoqiang Xiao; Southwest University

Xiaoqin Tang; Southwest University

Xianfeng Han; Southwest University

Wenzhuo Ma; Chongqing Productivity Council

Xinye Gou; Chongqing Productivity Council

MLR-APPL-IP-1.3: SCALE-INVARIANT SALIENT EDGE DETECTION

Gang Hu; State University of New York @ Buffalo State

Conner Saeli; State University of New York @ Buffalo State

MLR-APPL-IP-1.4: TWO-STAGE DOMAIN ADAPTED TRAINING FOR BETTER GENERALIZATION IN REAL-WORLD IMAGE RESTORATION AND SUPER-RESOLUTION

Cansu Korkmaz; Koç University

Ahmet Murat Tekalp; Koç University

Zafer Dogan; Koç University

MLR-APPL-IP-1.5: LEARNING TO DISENTANGLE REPRESENTATIONS FOR RAIN STREAK REMOVAL

Younkwan Lee; Gwangju Institute of Science and Technology

Hyeongjun Yoo; Gwangju Institute of Science and Technology

Moongu Jeon; Gwangju Institute of Science and Technology

MLR-APPL-IP-1.6: QUALITY ASSESSMENT OF SCREEN CONTENT IMAGES BASED ON CONVOLUTIONAL NEURAL NETWORK WITH DUAL PATHWAYS

Yongli Chang; Tianjin University

Sumei Li; Tianjin University

Anqi Liu; Tianjin University

MLR-APPL-IP-1.7: IMPROVING THE QUALITY OF ILLUSTRATIONS: TRANSFORMING AMATEUR ILLUSTRATIONS TO A PROFESSIONAL STANDARD

Keita Awane; University of Tokyo

Koki Tsubota; University of Tokyo

Hikaru Ikuta; University of Tokyo

Yusuke Matsui; University of Tokyo

Kiyoharu Aizawa; University of Tokyo

Naohiro Yanase; BOOK WALKER Co.,Ltd.

MLR-APPL-IP-1.8: SELF-ORGANIZED RESIDUAL BLOCKS FOR IMAGE SUPER-RESOLUTION

Onur Keles; Koç University

Ahmet Murat Tekalp; Koç University

Junaid Malik; Tampere University

Serkan Kiranyaz; Qatar University

MLR-APPL-IP-1.9: A UNIFIED DENSITY-DRIVEN FRAMEWORK FOR EFFECTIVE DATA DENOISING AND ROBUST ABSTENTION

Krishanu Sarker; Georgia State University

Xiulong Yang; Georgia State University

Yang Li; Georgia State University

Saeid Belkasim; Georgia State University

Shihao Ji; Georgia State University

MLR-APPL-IP-1.10: QUALITY AND COMPLEXITY ASSESSMENT OF LEARNING-BASED IMAGE COMPRESSION SOLUTIONS

João Dick; Federal University of Rio Grande do Sul

Brunno Abreu; Federal University of Rio Grande do Sul

Mateus Grellert; Federal University of Santa Catarina

Sergio Bampi; Federal University of Rio Grande do Sul

MLR-APPL-IP-1.11: ACCURATE COMPENSATION MAKES THE WORLD MORE CLEAR FOR THE VISUALLY IMPAIRED

Sijing Wu; Shanghai Jiao Tong University

Huiyu Duan; Shanghai Jiao Tong University

Xiongkuo Min; Shanghai Jiao Tong University

Danyang Tu; Shanghai Jiao Tong University

Guangtao Zhai; Shanghai Jiao Tong University