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 |