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Results: 70
Number of items: 70
  • Open Access
    van Spengler, M., Wirth, P., & Mettes, P. (2023). HypLL: The Hyperbolic Learning Library. In MM '23: Proceedings of the 31st ACM International Conference on Multimedia : Oct 29-Nov 3m 2023, Ottawa, Canada (pp. 9676–9679). Association for Computing Machinery. https://doi.org/10.1145/3581783.3613462
  • Open Access
    Chen, S. (2023). Machine perception of interactivity in videos. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van Spengler, M., Berkhout, E., & Mettes, P. (2023). Poincaré ResNet. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 5396-5405). IEEE Computer Society. https://doi.org/10.48550/arXiv.2303.14027, https://doi.org/10.1109/ICCV51070.2023.00499
  • Open Access
    Chen, S., Du, Y., Mettes, P., & Snoek, C. G. M. (2023). Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation. In ICMR'23: proceedings of the 2023 ACM International Conference on Multimedia Retrieval : Thessaloniki, Greece, June 12-15, 2023 (pp. 39-47). Association for Computing Machinery. https://doi.org/10.48550/arXiv.2306.10122, https://doi.org/10.1145/3591106.3592267
  • Open Access
    Mensink, T., & Mettes, P. (2023). Infinite Class Mixup. In The 34th British Machine Vision Conference Proceedings: BMVC 2023 : 20th-24th November 2023, Aberdeen, UK Article 135 BMVA Press. https://doi.org/10.48550/arXiv.2305.10293
  • Open Access
    Mettes, P. (2023). Universal Prototype Transport for Zero-Shot Action Recognition and Localization. International Journal of Computer Vision, 131(11), 3060-3073. https://doi.org/10.1007/s11263-023-01846-2
  • Open Access
    Hu, T. (2023). Label-efficient learning to see. [Thesis, fully internal, Universiteit van Amsterdam].
  • Schutte, J., & Mettes, P. (2022). Teaching a New Dog Old Tricks: Contrastive Random Walks in Videos with Unsupervised Priors. In ICMR '22: proceedings of the 2022 International Conference on Multimedia Retrieval : June 27-30, 2022, Newark, NJ, USA (pp. 176-184). The Association for Computing Machinery. https://doi.org/10.1145/3512527.3531376
  • Open Access
    Shi, Z., Mettes, P., Maji, S., & Snoek, C. G. M. (2022). On Measuring and Controlling the Spectral Bias of the Deep Image Prior. International Journal of Computer Vision, 130(4), 885–908. https://doi.org/10.1007/s11263-021-01572-7
  • Open Access
    Yang, P., Asano, Y. M., Mettes, P., & Snoek, C. G. M. (2022). Less than Few: Self-Shot Video Instance Segmentation. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, & T. Hassner (Eds.), Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022 : proceedings (Vol. XXXIV, pp. 449–466). (Lecture Notes in Computer Science; Vol. 13694). Springer. https://doi.org/10.1007/978-3-031-19830-4_26
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