Presentation 2020-12-18
Depth image prediction of transparent objects based on image-to-image translation
Ryo Iimori, Ryosuke Kubota, Kiyoshi Kogure,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # PRMU2020-57
Date of Issue 2020-12-10 (PRMU)

Conference Information
Committee PRMU
Conference Date 2020/12/17(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Transfer learning and few shot learning
Chair Yoichi Sato(Univ. of Tokyo)
Vice Chair Akisato Kimura(NTT) / Masakazu Iwamura(Osaka Pref. Univ.)
Secretary Akisato Kimura(Mobility Technologies) / Masakazu Iwamura(Chubu Univ.)
Assistant Takashi Shibata(NTT) / Masashi Nishiyama(Tottori Univ.)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Depth image prediction of transparent objects based on image-to-image translation
Sub Title (in English)
Keyword(1)
1st Author's Name Ryo Iimori
1st Author's Affiliation Kanazawa Institute of Technology(KIT)
2nd Author's Name Ryosuke Kubota
2nd Author's Affiliation *(*)
3rd Author's Name Kiyoshi Kogure
3rd Author's Affiliation Kanazawa Institute of Technology(KIT)
Date 2020-12-18
Paper # PRMU2020-57
Volume (vol) vol.120
Number (no) PRMU-300
Page pp.pp.111-115(PRMU),
#Pages 5
Date of Issue 2020-12-10 (PRMU)