2021 IEEE International Conference on Acoustics, Speech and Signal Processing
6-11 June 2021 • Toronto, Ontario, Canada
Extracting Knowledge from Information
SS-2: Deep Learning Methods for Solving Linear Inverse Problems |
| Session Type: Poster |
| Time: Tuesday, 8 June, 14:00 - 14:45 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chairs: Wei Chen, Beijing Jiaotong University, David Wipf, Amazon AI Research Lab and Miguel Rodrigues, University College London |
| SS-2.1: MODEL-INSPIRED DEEP LEARNING FOR LIGHT-FIELD MICROSCOPY WITH APPLICATION TO NEURON LOCALIZATION |
| Pingfan Song; Imperial College London |
| Herman Verinaz Jadan; Imperial College London |
| Carmel Howe; Imperial College London |
| Peter Quicke; Imperial College London |
| Amanda Foust; Imperial College London |
| Pier Luigi Dragotti; Imperial College London |
| SS-2.2: TIME-VARYING GRAPH SIGNAL INPAINTING VIA UNROLLING NETWORKS |
| Siheng Chen; Mitsubishi Electric Research Laboratories (MERL) |
| Yonina C. Eldar; Weizmann Institute of Science |
| SS-2.3: DEEP LEARNING FOR LINEAR INVERSE PROBLEMS USING THE PLUG-AND-PLAY PRIORS FRAMEWORK |
| Wei Chen; Beijing Jiaotong University |
| David Wipf; Amazon AI Research Lab |
| Miguel R.D. Rodrigues; University College London |
| SS-2.4: A PLUG-AND-PLAY DEEP IMAGE PRIOR |
| Zhaodong Sun; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| Fabian Latorre; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| Thomas Sanchez; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| Volkan Cevher; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| SS-2.5: MRI IMAGE RECOVERY USING DAMPED DENOISING VECTOR AMP |
| Subrata Sarkar; Ohio State |
| Rizwan Ahmad; Ohio State |
| Philip Schniter; Ohio State |
| SS-2.6: OVERCOMING MEASUREMENT INCONSISTENCY IN DEEP LEARNING FOR LINEAR INVERSE PROBLEMS: APPLICATIONS IN MEDICAL IMAGING |
| Marija Vella; Heriot-Watt University |
| João F. C. Mota; Heriot-Watt University |