MQ-L.B.1
ATTENTION-BASED NEURAL NETWORK FOR ILL-EXPOSED IMAGE CORRECTION
Lucas Messias, Paulo Drews, Silvia Botelho, Federal University of Rio Grande, Brazil
Session:
Deep Methods for Restoration and Enhancement
Track:
Image and Video Processing
Location:
Room B
Presentation Time:
Mon, 17 Oct, 20:00 - 20:15 China Standard Time (UTC +8)
Mon, 17 Oct, 14:00 - 14:15 Central European Time (UTC +2)
Mon, 17 Oct, 12:00 - 12:15 UTC
Mon, 17 Oct, 08:00 - 08:15 Eastern Time (UTC -4)
Mon, 17 Oct, 14:00 - 14:15 Central European Time (UTC +2)
Mon, 17 Oct, 12:00 - 12:15 UTC
Mon, 17 Oct, 08:00 - 08:15 Eastern Time (UTC -4)
Session Chair:
Raja Giryes, Tel Aviv University
Presentation
Discussion
Resources
No resources available.
Session MQ-L.B
MQ-L.B.1: ATTENTION-BASED NEURAL NETWORK FOR ILL-EXPOSED IMAGE CORRECTION
Lucas Messias, Paulo Drews, Silvia Botelho, Federal University of Rio Grande, Brazil
MQ-L.B.2: DEEP IMAGE DEBANDING
Raymond Zhou, Shahrukh Athar, Zhongling Wang, Zhou Wang, University of Waterloo, Canada
MQ-L.B.3: SVBR-NET: A NON-BLIND SPATIALLY VARYING DEFOCUS BLUR REMOVAL NETWORK
Ali Karaali, Trinity College Dublin, Ireland; Claudio Jung, Federal University of Rio Grande do Sul, Brazil
MQ-L.B.4: Image Deblurring using Deep Multi-scale Distortion Prior
Irina Kim, Dongpan Lim, Youngil Seo, Jeongguk Lee, Wooseok Choi, Seongwook Song, Samsung Electronics, Korea, Republic of
MQ-L.B.5: A new regularization for retinex decomposition of low-light images
Arthur Lecert, Aline Roumy, Christine Guillemot, INRIA, France; Renaud Fraisse, Airbus Defense and Space, France