Technical Program

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WP.L2: Single-Image Super-Resolution

Session Type: Lecture
Time: Wednesday, September 28, 14:00 - 17:10
Location: Room 106 C
Session Chair: Aggelos Katsaggelos, Northwestern University
 
Presented 14:00 - 14:20
 WP.L2.1: TURNING A DENOISER INTO A SUPER-RESOLVER USING PLUG AND PLAY PRIORS
         Alon Brifman; Technion
         Yaniv Romano; Technion
         Michael Elad; Technion
 
Presented 14:20 - 14:40
 WP.L2.2: STRUCTURE PRESERVING SINGLE IMAGE SUPER-RESOLUTION
         Fan Yang; Peking University
         Don Xie; Peking University
         Huizhu Jia; Peking University
         Rui Chen; Peking University
         Guoqing Xiang; Peking University
         Wen Gao; Peking University
 
Presented 14:40 - 15:00
 WP.L2.3: FINDING THE RIGHT EXEMPLARS FOR RECONSTRUCTING SINGLE IMAGE SUPER-RESOLUTION
         Jiahuan Zhou; Northwestern University
         Ying Wu; Northwestern University
 
Presented 15:00 - 15:20
 WP.L2.4: BOOSTING PERFORMANCE AND SPEED OF SINGLE-IMAGE SUPER-RESOLUTION BASED ON PARTITIONED LINEAR REGRESSION
         Anustup Choudhury; Dolby Laboratories Inc.
         Peter van Beek; Sharp Laboratories of America
 
Break
 
Presented 15:50 - 16:10
 WP.L2.5: LOW-RANK SPARSE REPRESENTATION FOR SINGLE IMAGE SUPER-RESOLUTION VIA SELF-SIMILARITY LEARNING
         Jiahe Shi; Xi'an Jiaotong University
         Chun Qi; Xi'an Jiaotong University
 
Presented 16:10 - 16:30
WP.L2.6: IMAGE SUPER-RESOLUTION VIA DUAL-MANIFOLD CLUSTERING AND SUBSPACE SIMILARITY
         Mohammed Al-Qizwini; Michigan State University
         Chinh Dang; Michigan State University
         Mohammad Aghagolzadeh; Michigan State University
         Hayder Radha; Michigan State University
 
Presented 16:30 - 16:50
 WP.L2.7: FAST IMAGE SUPER-RESOLUTION VIA MULTIPLE DIRECTIONAL TRANSFORMS
         Zhiyu Chen; Niigata University
         Shogo Muramatsu; Niigata University
         Yoshito Abe; Industrial Research Institute of Niigata Prefecture
 
Presented 16:50 - 17:10
 WP.L2.8: A HYBRID WAVELET CONVOLUTION NETWORK WITH SPARSE-CODING FOR IMAGE SUPER-RESOLUTION
         Xing Gao; Shanghai Jiao Tong University
         Hongkai Xiong; Shanghai Jiao Tong University