Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2017-July, Issue , 2017, Pages 1141-1149

  Bae, Woong ^a   Yoo, Jaejun ^a   Ye, Jong Chul ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE RECONSTRUCTION; PATTERN RECOGNITION; RESTORATION; SIGNAL PROCESSING;

COMPUTATIONAL TIME; DE-NOISING; FEATURE SPACE; LEARNING APPROACH; PERSISTENT HOMOLOGY; SINGLE IMAGES; STATE OF THE ART; STATE-OF-THE-ART APPROACH;

LEARNING ALGORITHMS;

EID: 85030260146     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2017.152     Document Type: Conference Paper

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