2021 IEEE International Conference on Acoustics, Speech and Signal Processing
6-11 June 2021 • Toronto, Ontario, Canada
Extracting Knowledge from Information
CI-2: Computational Imaging for Inverse Problems |
| Session Type: Poster |
| Time: Wednesday, 9 June, 15:30 - 16:15 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chair: Saiprasad Ravishankar, Michigan State University |
| CI-2.1: STOCHASTIC DEEP UNFOLDING FOR IMAGING INVERSE PROBLEMS |
| Jiaming Liu; Washington University in St. Louis |
| Yu Sun; Washington University in St. Louis |
| Weijie Gan; Washington University in St. Louis |
| Xiaojian Xu; Washington University in St. Louis |
| Brendt Wohlberg; Los Alamos National Laboratory |
| Ulugbek Kamilov; Washington University in St. Louis |
| CI-2.2: FUSION-BASED DIGITAL IMAGE CORRELATION FRAMEWORK FOR STRAIN MEASUREMENT |
| Laixi Shi; Carnegie Mellon University |
| Dehong Liu; Mitsubishi Electric Research Laboratories (MERL) |
| Masaki Umeda; Mitsubishi Electric |
| Norihiko Hana; Mitsubishi Electric |
| CI-2.3: LEARNING SPARSIFYING TRANSFORMS FOR IMAGE RECONSTRUCTION IN ELECTRICAL IMPEDANCE TOMOGRAPHY |
| Kaiyi Yang; Nanyang Technological University |
| Narong Borijindargoon; Nanyang Technological University |
| Boon Poh Ng; Nanyang Technological University |
| Saiprasad Ravishankar; Michigan State University |
| Bihan Wen; Nanyang Technological University |
| CI-2.4: D-VDAMP: DENOISING-BASED APPROXIMATE MESSAGE PASSING FOR COMPRESSIVE MRI |
| Christopher Metzler; Stanford University |
| Gordon Wetzstein; Stanford University |
| CI-2.5: EMPIRICALLY ACCELERATING SCALED GRADIENT PROJECTION USING DEEP NEURAL NETWORK FOR INVERSE PROBLEMS IN IMAGE PROCESSING |
| Byung Hyun Lee; UNIST |
| Se Young Chun; Seoul National University |
| CI-2.6: SYNTHETIC APERTURE ACOUSTIC IMAGING WITH DEEP GENERATIVE MODEL BASED SOURCE DISTRIBUTION PRIOR |
| Boqiang Fan; Rice University |
| Samarjit Das; Bosch Research Pittsburgh |