Self-tuned deep super resolution

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2015-October, Issue , 2015, Pages 1-8

  Wang, Zhangyang ^a   Yang, Yingzhen ^a   Wang, Zhaowen ^b   Chang, Shiyu ^a   Han, Wei ^a   Yang, Jianchao ^c   Huang, Thomas ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b ADOBE RESEARCH   (United States)

^c SNAP INC   (United States)

Author keywords

Adaptation models; Convolutional codes; Image resolution; Joints; Pediatrics; Training; Yttrium

Indexed keywords

COMPUTER VISION; CONVOLUTION; CONVOLUTIONAL CODES; IMAGE ENHANCEMENT; IMAGE RESOLUTION; JOINTS (STRUCTURAL COMPONENTS); OPTICAL RESOLVING POWER; PEDIATRICS; PERSONNEL TRAINING; YTTRIUM;

ADAPTATION MODELS; AUTO ENCODERS; DATA AUGMENTATION; IMAGE SUPER RESOLUTIONS; MODEL PERFORMANCE; SELF-SIMILARITIES; STATE OF THE ART; SUPER RESOLUTION;

DEEP LEARNING;

EID: 84952028763     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2015.7301266     Document Type: Conference Paper

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