Technical Program

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TA.PF: Compressive Sensing & Imaging

Session Type: Poster
Time: Tuesday, September 24, 10:30 - 12:18
Location: Room 101 (1F) - Poster Area F
Session Chair: Salman Asif, University of California, Riverside
 
 TA.PF.1: AN END-TO-END MULTI-SCALE RESIDUAL RECONSTRUCTION NETWORK FOR IMAGE COMPRESSIVE SENSING
         Renhe Liu; Tianjin University
         Sumei Li; Tianjin University
         Chunping Hou; Tianjin University
 
 TA.PF.2: A SIMPLE ALGORITHM FOR NON-NEGATIVE SPARSE PRINCIPAL COMPONENT ANALYSIS
         Ioannis Tsingalis; Aristotle University of Thessaloniki
         Constantine Kotropoulos; Aristotle University of Thessaloniki
 
 TA.PF.3: COMPRESSED SENSING MRI WITH JOINT IMAGE-LEVEL AND PATCH-LEVEL PRIORS
         Peixian Zhuang; Nanjing University of Information Science and Technology
         Xinghao Ding; Xiamen University
 
 TA.PF.4: HARDWARE-FRIENDLY COMPRESSIVE IMAGING BASED ON RANDOM MODULATIONS & PERMUTATIONS FOR IMAGE ACQUISITION AND CLASSIFICATION
         Wissam Benjilali; Univ. Grenoble Alpes, CEA, LETI, F-38000
         William Guicquero; Univ. Grenoble Alpes, CEA, LETI, F-38000
         Laurent Jacques; ISPGroup, ICTEAM/ELEN, UCLouvain
         Gilles Sicard; Univ. Grenoble Alpes, CEA, LETI, F-38000
 
 TA.PF.5: LEARNING ITERATION-DEPENDENT DENOISERS FOR MODEL-CONSISTENT COMPRESSIVE SENSING
         Pavan Reddy; Tata Consultancy Services
         Kunal Chaudhury; Indian Institute of Science
 
 TA.PF.6: COMPRESSIVE SENSING RECONSTRUCTION BASED ON STANDARDIZED GROUP SPARSE REPRESENTATION
         Zhirong Gao; Wuhan University
         Lixin Ding; Wuhan University
         Chengyi Xiong; South-Central University for Nationalities
         Zhongyi Gong; South-Central University for Nationalities
         Qiming Xiong; Wuhan Textile University
 
 TA.PF.7: MULTILINEAR COMPRESSIVE SENSING WITH TENSOR RING FACTORIZATION
         M. Salman Asif; University of California, Riverside
         Ashley Prater-Bennette; Air Force Research Laboratory
 
 TA.PF.8: DIFFERENCE OF CONVOLUTION FOR DEEP COMPRESSIVE SENSING
         Thuong Nguyen Canh; Sungkyunkwan University
         Byeungwoo Jeon; Sungkyunkwan University