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  • title: Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation
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            Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation
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            Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation

            Feb 4, 2021

            Speakers

            HX

            Hongbin Xu

            Speaker · 1 follower

            ZZ

            Zhipeng Zhou

            Speaker · 1 follower

            YQ

            Yu Qiao

            Speaker · 1 follower

            Organizer

            A
            A

            AAAI-21

            Account · 10 followers

            Categories

            AI & Data Science

            Category · 10.8k presentations

            About AAAI-21

            The Thirty-Fifth AAAI Conference on Artificial Intelligence. The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines. AAAI-21 will have a diverse technical track, student abstracts, poster sessions, invited speakers, tutorials, workshops, and exhibit and competition programs, all selected according to the highest reviewing standards. AAAI-21 welcomes submissions on mainstream AI topics as well as novel crosscutting work in related areas.

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