Deep Functional Maps: Structured Prediction for Dense Shape Correspondence

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2017-October, Issue , 2017, Pages 5660-5668

  Litany, Or ^a,b   Remez, Tal ^a   Rodola, Emanuele ^c,d   Bronstein, Alex ^b,e   Bronstein, Michael ^b,c  

^a TEL AVIV UNIVERSITY   (Israel)

^b INTEL CORPORATION   (United States)

^c USI Lugano ^*  (China)

^d SAPIENZA UNIVERSITY OF ROME   (Italy)

^e TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; MATHEMATICAL OPERATORS; QUERY PROCESSING;

COMPACT REPRESENTATION; DENSE CORRESPONDENCES; LABEL PREDICTIONS; LEARNING PROCESS; LEARNING-BASED APPROACH; REFERENCE DOMAINS; SHAPE CORRESPONDENCES; STRUCTURED PREDICTION;

COMPUTER VISION;

EID: 85041908293     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2017.603     Document Type: Conference Paper

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