Search results
Results: 73
Number of items: 73
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Burghouts, G., Cucchiara, R., Kasarla, T., Mettes, P., Van Der Pol, E., & Van Spengler, M. (2023). Maximum Class Separation as Inductive Bias in One Matrix. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), 36th Conference on Neural Information Processing Systems (NeurIPS 2022): New Orleans, Louisiana, USA, 28 November-9 December 2022 (Vol. 26, pp. 19553-19566). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2206.08704 -
Hu, T., Thong, W., Mettes, P., & Snoek, C. G. M. (2023). Query by Activity Video in the Wild. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2311.13895 -
Ayoughi, M., Mettes, P., & Groth, P. (2023). Self-Contained Entity Discovery from Captioned Videos. ACM Transactions on Multimedia Computing Communications and Applications, 19(5s), Article 177. https://doi.org/10.1145/3583138 -
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 -
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 -
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 -
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 -
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
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