Technical Program

CSDL-5: Compressed Sensing, Deep Learning V

Symposium: Symposium on Compressed Sensing, Deep Learning
Session Type: Lecture
Time: Thursday, December 8, 16:10 - 17:30
Location: Salon B
Session Chair: Seung-Jun Kim, University of Maryland, Baltimore County
 
16:10 - 16:30
CSDL-5.1: ONSAGER-CORRECTED DEEP LEARNING FOR SPARSE LINEAR INVERSE PROBLEMS
         Mark Borgerding; The Ohio State University
         Philip Schniter; The Ohio State University
 
16:30 - 16:50
CSDL-5.2: IMAGE AESTHETIC ASSESSMENT VIA DEEP SEMANTIC AGGREGATION
         Kung-Hung Lu; Institute of Information Science, Academia Sinica
         Kuang-Yu Chang; Institute of Information Science, Academia Sinica
         Chu-Song Chen; Institute of Information Science, Academia Sinica
 
16:50 - 17:10
CSDL-5.3: DEEP LEARNING BASED IMAGE SUPER-RESOLUTION WITH COUPLED BACKPROPAGATION
         Tiantong Guo; The Pennsylvania State University
         Hojjat Seyed Mousavi; The Pennsylvania State University
         Vishal Monga; The Pennsylvania State University
 
17:10 - 17:30
CSDL-5.4: RECURRENT NEURAL NETWORK FOR SPECTRAL MAPPING IN SPEECH BANDWIDTH EXTENSION
         Yingxue Wang; Beijing Institute of Technology
         Shenghui Zhao; Beijing Institute of Technology
         Jianxin Li; Beihang University
         Jingming Kuang; Beijing Institute of Technology
         Qiang Zhu; University of Maryland
 

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