File Download

There are no files associated with this item.

Supplementary

Conference Paper: Self-calibrating Deep Photometric Stereo Networks

TitleSelf-calibrating Deep Photometric Stereo Networks
Authors
Issue Date2019
PublisherIEEE Computer Society
Citation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, 16-20 June 2019 How to Cite?
DescriptionOral Session 3-1B: Learning, Physics, Theory, & Datasets - Paper ID 1504 ; & Poster Session 3-1P - Poster no. 84
Persistent Identifierhttp://hdl.handle.net/10722/272013

 

DC FieldValueLanguage
dc.contributor.authorChen, G-
dc.contributor.authorHan, K-
dc.contributor.authorShi, B-
dc.contributor.authorMatsushita, Y-
dc.contributor.authorWong, KKY-
dc.date.accessioned2019-07-20T10:33:58Z-
dc.date.available2019-07-20T10:33:58Z-
dc.date.issued2019-
dc.identifier.citationIEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, 16-20 June 2019-
dc.identifier.urihttp://hdl.handle.net/10722/272013-
dc.descriptionOral Session 3-1B: Learning, Physics, Theory, & Datasets - Paper ID 1504 ; & Poster Session 3-1P - Poster no. 84-
dc.languageeng-
dc.publisherIEEE Computer Society-
dc.relation.ispartofIEEE Conference on Computer Vision and Pattern Recognition-
dc.rightsIEEE Conference on Computer Vision and Pattern Recognition. Copyright © IEEE Computer Society.-
dc.titleSelf-calibrating Deep Photometric Stereo Networks-
dc.typeConference_Paper-
dc.identifier.emailWong, KKY: kykwong@cs.hku.hk-
dc.identifier.authorityWong, KKY=rp01393-
dc.identifier.hkuros299480-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats