MP1.L2.5
A SPATIO-TEMPORAL ALIGNED SUNET MODEL FOR LOW-LIGHT VIDEO ENHANCEMENT
Ruirui Lin, Nantheera Anantrasirichai, Alexandra Malyugina, David Bull, University of Bristol, United Kingdom of Great Britain and Northern Ireland
Session:
MP1.L2: Image and Video Enhancement Lecture
Track:
Image and Video Processing
Location:
Capital Suite - 14
Presentation Time:
Mon, 28 Oct, 15:42 - 16:00 Gulf Standard Time (UTC +4)
Session Chair:
Aggelos Katsaggelos, Northwestern University
Session MP1.L2
MP1.L2.1: Dual-Path Coupled Image Deraining Network via Spatial-Frequency Interaction
Yuhong He, School of Computer Science and Engineering, Northeastern University, China, China; Aiwen Jiang, Lingfang Jiang, School of Computer and Information Engineering, Jiangxi Normal University, China, China; Long Peng, University of Science and Technology of China, China, China; Zhifeng Wang, National University of Defense Technology, China, China; Lu Wang, School of Computer Science and Engineering, Northeastern University, China, China
MP1.L2.2: DECLOUDING OF SATELLITE IMAGES FOR CROP GROWTH MONITORING VIA UNROLLING OF GRADIENT GRAPH LAPLACIAN REGULARIZER
Parham Eftekhar, Gene Cheung, York University, Canada; Tim Eadie, Growers Edge, Canada
MP1.L2.3: REAL-WORLD ATMOSPHERIC TURBULENCE CORRECTION VIA DOMAIN ADAPTATION
Xijun Wang, Santiago López-Tapia, Aggelos Katsaggelos, Northwestern University, United States of America
MP1.L2.4: UTrCGAN:Uncertainty-Driven Cycle-Consistent Generative Adversarial Network for Low-Light Image Enhancement
JingShuo Guan, Na Qi, Qing Zhu, Beijing University of Technology, Beijing, China, China; Liang Chen, Fujian Normal University, FuZhou, China, China
MP1.L2.5: A SPATIO-TEMPORAL ALIGNED SUNET MODEL FOR LOW-LIGHT VIDEO ENHANCEMENT
Ruirui Lin, Nantheera Anantrasirichai, Alexandra Malyugina, David Bull, University of Bristol, United Kingdom of Great Britain and Northern Ireland
Contacts