TP-L.B: Machine Learning for Image Recovery
Tue, 18 Oct, 22:30 - 00:30 China Standard Time (UTC +8)
Tue, 18 Oct, 16:30 - 18:30 Central European Time (UTC +2)
Tue, 18 Oct, 14:30 - 16:30 UTC
Tue, 18 Oct, 10:30 - 12:30 Eastern Time (UTC -4)
Lecture
Location: Room B
Session Chair: Denis Kouamé, IRIT
Track: Applications of Machine Learning

TP-L.B.1: REPNP: PLUG-AND-PLAY WITH DEEP REINFORCEMENT LEARNING PRIOR FOR ROBUST IMAGE RESTORATION
Chong Wang, Rongkai Zhang, Bihan Wen, Nanyang Technological University, Singapore; Saiprasad Ravishankar, Michigan State University, United States of America

TP-L.B.2: REFERENCE-BASED BLIND SUPER-RESOLUTION KERNEL ESTIMATION
Mehmet Yamac, Aakif Nawaz, Baran Ataman, Huawei Technologies Finland, Finland

TP-L.B.3: REFERENCE GUIDED REFLECTION REMOVAL USING DEEP VISUAL ATTRIBUTE CUES
Bindigan Hariprasanna Pawan Prasad, Green Rosh K S, Lokesh R B, Samsung R&D Institute, India; Kaushik Mitra, IIT Madras, India

TP-L.B.4: DEEP UNFOLDING OF IMAGE DENOISING BY QUANTUM INTERACTIVE PATCHES
Sayantan Dutta, Denis Kouamé, Institut de Recherche en Informatique de Toulouse, UMR CNRS 5505, Université de Toulouse, France; Adrian Basarab, Université de Lyon, INSA-Lyon, UCBL, CNRS, Inserm, CREATIS UMR 5220, U1206, France; Bertrand Georgeot, Laboratoire de Physique Théorique, Université de Toulouse, CNRS, UPS, France

TP-L.B.5: ENHANCING UNDERWATER IMAGE USING DEGRADATION ADAPTIVE ADVERSARIAL NETWORK
Lujun Zhai, Yonghui Wang, Suxia Cui, Yu Zhou, Prairie View A&M University, United States of America