Hang Yin

Hang Yin

Tenure Track Assistant Professor

ORCID: 0000-0002-3599-440X

Publication year:
All
1 - 3 out of 3Page size: 25
  1. 2024
  2. Published

    Scalable Motion Style Transfer with Constrained Diffusion Generation

    Yin, W., Yu, Y., Yin, Hang, Kragic, D. & Björkman, M., 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 9, p. 10234-10242 9 p.

    Research output: Contribution to journal › Conference article › Research › peer-review

  3. 2023
  4. Published

    Learning Geometric Representations of Objects via Interaction

    Reichlin, A., Marchetti, G. L., Yin, Hang, Varava, A. & Kragic, D., 2023, 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. (eds.). Springer, Vol. 4. p. 629-644 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14172 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. Published

    Multimodal dance style transfer

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

    Research output: Contribution to journal › Journal article › Research › peer-review

ID: 327370276