Technical Program

SSP-O.3: Sparse Signal Processing and Deep Learning III

Symposium: Symposium on Sparse Signal Processing and Deep Learning
Session Type: Oral
Time: Wednesday, November 15, 16:00 - 17:30
Location: Hampstead
Session Chair: Santosh Nannuru, Scripps Institution of Oceanography, UC San Diego
 
16:00 - 16:18
SSP-O.3.1: INFERENCE WITH MODEL UNCERTAINTY ON INDOOR SCENE FOR SEMANTIC SEGMENTATION
         Shuya Isobe; Tokyo City University Graduate School of Engineering
         Shuichi Arai; Tokyo City University Graduate School of Engineering
 
16:18 - 16:36
SSP-O.3.2: MULTIPLE-IMAGE SUPER RESOLUTION USING BOTH RECONSTRUCTION OPTIMIZATION AND DEEP NEURAL NETWORK
         Jie Wu; NanJing University
         Tao Yue; Nanjing University
         Qiu Shen; Nanjing University
         Xun Cao; Nanjing University
         Zhan Ma; Nanjing University
 
16:36 - 16:54
SSP-O.3.3: ONLINE DYNAMIC MRI RECONSTRUCTION VIA ROBUST SUBSPACE TRACKING
         Greg Ongie; University of Michigan
         Saket Dewangan; University of Michigan
         Jeffrey Fessler; University of Michigan
         Laura Balzano; University of Michigan
 
16:54 - 17:12
SSP-O.3.4: DOMAIN SPECIFIC INPAINTING WITH CONCURRENTLY PRETRAINED GENERATIVE ADVERSARIAL NETWORKS
         Xiao Zhou; Boston University
         Chengchen Wang; Boston University
         Yiteng Xu; Boston University
         Xiao Wang; Boston University
         Peter Chin; Boston University
 
17:12 - 17:30
SSP-O.3.5: SPARSE BAYESIAN LEARNING WITH MULTIPLE DICTIONARIES
         Santosh Nannuru; University of California, San Diego
         Kay Gemba; University of California, San Diego
         Peter Gerstoft; University of California, San Diego