TQ-L.B: Computational Imaging Methods and Models
Tue, 18 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Tue, 18 Oct, 14:00 - 16:00 Central European Time (UTC +2)
Tue, 18 Oct, 12:00 - 14:00 UTC
Tue, 18 Oct, 08:00 - 10:00 Eastern Time (UTC -4)
Lecture
Location: Room B
Session Chair: Jean-François Aujol, U Bordeaux
Track: Computational Imaging Methods and Models

TQ-L.B.1: BINARY MORPHOLOGICAL NEURAL NETWORK
Theodore Aouad, Hugues Talbot, CentraleSupelec, Université Paris-Saclay, Inria, France

TQ-L.B.2: INFRARED AND VISIBLE IMAGE FUSION USING BIMODAL TRANSFORMERS
Seonghyun Park, An Gia Vien, Chul Lee, Dongguk University, Korea, Republic of

TQ-L.B.3: LOW SNR MULTIFRAME REGISTRATION FOR CUBESATS
Evan Widloski, Farzad Kamalabadi, University of Illinois Urbana-Champaign, United States of America

TQ-L.B.4: UNDERSAMPLED DYNAMIC FOURIER PTYCHOGRAPHY VIA PHASELESS PCA
Zhengyu Chen, Seyedehsara Nayer, Namrata Vaswani, Iowa State University, United States of America

TQ-L.B.5: DISTRIBUTED RADAR AUTOFOCUS IMAGING USING DEEP PRIORS
Hassan Mansour, Suhas Lohit, Petros Boufounos, Mitsubishi Electric Research Laboratories, United States of America