Technical Program

SSP-O.5: Sparse Signal Processing and Deep Learning V

Symposium: Symposium on Sparse Signal Processing and Deep Learning
Session Type: Oral
Time: Thursday, November 16, 16:00 - 17:30
Location: Cote-st-Luc
Session Chair: Gongguo Tang, Colorado School of Mines
 
16:00 - 16:18
SSP-O.5.1: MODELING SPARSE SPATIO-TEMPORAL REPRESENTATIONS FOR NO-REFERENCE VIDEO QUALITY ASSESSMENT
         Muhammed Shabeer P; Indian Institute of Technology Hyderabad
         Saurabhchand Bhati; Indian Institute of Technology Hyderabad
         Sumohana Channappayya; Indian Institute of Technology Hyderabad
 
16:18 - 16:36
SSP-O.5.2: EFFICIENT SPARSITY-BASED INVERSION FOR PHOTON-SIEVE SPECTRAL IMAGERS WITH TRANSFORM LEARNING
         Ulas Kamaci; METU
         Fatih C. Akyon; METU
         Tunc Alkanat; METU
         Figen S. Oktem; METU
 
16:36 - 16:54
SSP-O.5.3: MERGING RECOVERY FEATURE NETWORK TO FASTER RCNN FOR LOW-RESOLUTION IMAGES DETECTION
         Ruyi Zhang; Tsinghua University, Shenzhen Key Laboratory of Broad-band Network & Multimedia
         Yujiu Yang; Tsinghua University, Shenzhen Key Laboratory of Broad-band Network & Multimedia
 
16:54 - 17:12
SSP-O.5.4: THE NONCONVEX GEOMETRY OF LOW-RANK MATRIX OPTIMIZATIONS WITH GENERAL OBJECTIVE FUNCTIONS
         Qiuwei Li; Colorado School of Mines
         Gongguo Tang; Colorado School of Mines
 
17:12 - 17:30
SSP-O.5.5: AUGMENTED ROBUST PCA FOR FOREGROUND-BACKGROUND SEPARATION ON NOISY, MOVING CAMERA VIDEO
         Chen Gao; University of Michigan
         Brian Moore; University of Michigan
         Raj Rao Nadakuditi; University of Michigan