SS-L5.3
Uncertainty-Guided Physics-Driven Deep Learning Reconstruction via Cyclic Measurement Consistency
Chi Zhang, Mehmet Akçakaya, University of Minnesota, United States of America
Session:
SS-L5: Robust Reconstruction Methods in Computational Imaging Lecture
Track:
Special Sessions
Location:
Room 209A
Presentation Time:
Wed, 17 Apr, 13:50 - 14:10 (UTC +9)
Session Co-Chairs:
Bihan Wen, Nanyang Technological University and Ismail Alkhouri, Michigan State University
Session SS-L5
SS-L5.1: DATA-DRIVEN CONVEX REGULARIZERS FOR INVERSE PROBLEMS
Subhadip Mukherjee, Indian Institute of Technology, Kharagpur, India; Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, University of Cambridge, United Kingdom of Great Britain and Northern Ireland; Ozan Öktem, KTH - Royal Institute of Technology, Sweden; Carola-Bibiane Schönlieb, University of Cambridge, United Kingdom of Great Britain and Northern Ireland
SS-L5.2: DIFFUSION-BASED ADVERSARIAL PURIFICATION FOR ROBUST DEEP MRI RECONSTRUCTION
Ismail Alkhouri, Michigan State University; University of Michigan, Ann Arbor, United States of America; Shijun Liang, Rongrong Wang, Michigan State University, United States of America; Qing Qu, University of Michigan, United States of America; Saiprasad Ravishankar, Michigan State University, United States of America
SS-L5.3: Uncertainty-Guided Physics-Driven Deep Learning Reconstruction via Cyclic Measurement Consistency
Chi Zhang, Mehmet Akçakaya, University of Minnesota, United States of America
SS-L5.4: PARAMETER-EFFICIENT ADAPTATION FOR COMPUTATIONAL IMAGING
Nebiyou Yismaw, University of California Riverside, United States of America; Ulugbek Kamilov, Washington University in St. Louis, United States of America; M. Salman Asif, University of California Riverside, United States of America
SS-L5.5: NOISE2ONE: ONE-SHOT IMAGE DENOISING WITH LOCAL IMPLICIT LEARNING
Kwanyoung Kim, Jong Chul Ye, Korea Advanced Institute of Science and Technology, Korea, Republic of
SS-L5.6: BENCHMARKING ADVERSARIAL ROBUSTNESS OF IMAGE SHADOW REMOVAL WITH SHADOW-ADAPTIVE ATTACKS
Chong Wang, Yi Yu, Lanqing Guo, Bihan Wen, Nanyang Technological University, Singapore
Contacts