Hang Yin

Hang Yin

Tenure Track Adjunkt

ORCID: 0000-0002-3599-440X

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  1. 2023
  2. E-pub ahead of print

    Learning Geometric Representations of Objects via Interaction

    Reichlin, A., Marchetti, G. L., Yin, Hang, Varava, A. & Kragic, D., 2023, (E-pub ahead of print) Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Proceedings. Koutra, D., Plant, C., Gomez Rodriguez, M., Baralis, E. & Bonchi, F. (red.). Springer Science and Business Media Deutschland GmbH, s. 629-644 16 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14172 LNAI).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. Udgivet

    Multimodal dance style transfer

    Yin, W., Yin, Hang, Baraka, K., Kragic, D. & Björkman, M., 2023, I: Machine Vision and Applications. 34, 4, 14 s., 48.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

ID: 327370276