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Results: 70
Number of items: 70
  • Open Access
    Hu, V. T., Zhang, W., Tang, M., Mettes, P., Zhao, D., & Snoek, C. (2024). Latent Space Editing in Transformer-Based Flow Matching. In M. Wooldridge, J. Dy, & S. Natarajan (Eds.), Proceedings of the 38th AAAI Conference on Artificial Intelligence: AAAI-2024 (Vol. 3, pp. 2247-2255). AAAI Press. https://doi.org/10.1609/aaai.v38i3.27998
  • Open Access
    D’Amely di Melendugno, G. M., Flaborea, A., Mettes, P., & Galasso, F. (2024). Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd Navigation. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems: IROS'24, Abu Dhabi, 14-18 October 2024 (pp. 13023–13030). IEEE. https://doi.org/10.1109/iros58592.2024.10801513
  • Open Access
    Ibrahimi, S., Ghadimi Atigh, M., van Noord, N., Mettes, P., & Worring, M. (2024). Intriguing Properties of Hyperbolic Embeddings in Vision-Language Models. Transactions on Machine Learning Research, 2024, Article 2113. https://openreview.net/forum?id=P5D2gfi4Gg
  • Open Access
    Valenzuela, R. E. G., Mettes, P., Loos, B., Marquering, H., & Berkhout, E. (2024). Enhancement of early proximal caries annotations in radiographs: introducing the Diagnostic Insights for Radiographic Early-caries with micro-CT (ACTA-DIRECT) dataset. BMC Oral Health, 24, Article 1325. https://doi.org/10.1186/s12903-024-05076-x
  • Open Access
    Doorenbos, L., Márquez-Neila, P., Sznitman, R., & Mettes, P. (2024). Hyperbolic Random Forests. Transactions on Machine Learning Research, 2024, Article 2195. https://openreview.net/forum?id=pjKcIzvXWR
  • Open Access
    Mettes, P., Ghadimi Atigh, M., Keller-Ressel, M., Gu, J., & Yeung, S. (2024). Hyperbolic Deep Learning in Computer Vision: A Survey. International Journal of Computer Vision, 132(9), 3484-3508. https://doi.org/10.1007/s11263-024-02043-5
  • Mettes, P. (2023). Hyperbolic Graph Codebooks. In G. Nicosia, V. Ojha, E. La Malfa, G. La Malfa, P. Pardalos, G. Di Fatta, G. Giuffrida, & R. Umeton (Eds.), Machine Learning, Optimization, and Data Science: 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 19–22, 2022, Revised Selected Papers (Vol. I, pp. 48-61). (Lecture Notes in Computer Science; Vol. 13810). Springer. https://doi.org/10.1007/978-3-031-25599-1_5
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
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