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College of Engineering(공과대학)School of Mechanical and Aerospace Engineering(기계항공공학부)Dept. of Mechanical Engineering(기계공학과)ME-Conference Papers(학술회의논문)

Stereo Depth from Events Cameras: Concentrate and Focus on the Future

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dc.contributor.authorNam, Yeongwooko
dc.contributor.authorMostafavi, Mohammadko
dc.contributor.authorYoon, Kuk-Jinko
dc.contributor.authorChoi, Jonghyunko
dc.date.accessioned2022-11-02T07:02:25Z-
dc.date.available2022-11-02T07:02:25Z-
dc.date.created2022-03-08-
dc.date.created2022-03-08-
dc.date.created2022-03-08-
dc.date.issued2022-06-24-
dc.identifier.citationIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022-
dc.identifier.urihttp://hdl.handle.net/10203/299278-
dc.languageEnglish-
dc.publisherComputer Vision Foundation, IEEE Computer Society-
dc.titleStereo Depth from Events Cameras: Concentrate and Focus on the Future-
dc.typeConference-
dc.identifier.wosid000867754206037-
dc.type.rimsCONF-
dc.citation.publicationnameIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationVirtual-
dc.contributor.localauthorYoon, Kuk-Jin-
dc.contributor.nonIdAuthorNam, Yeongwoo-
dc.contributor.nonIdAuthorMostafavi, Mohammad-
dc.contributor.nonIdAuthorChoi, Jonghyun-
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ME-Conference Papers(학술회의논문)
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