Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 79
Number of items: 79
  • Open Access
    Pal, A., van Spengler, M., D’Amely di Melendugno, G. M., Flaborea, A., Galasso, F., & Mettes, P. (2025). Compositional Entailment Learning for Hyperbolic Vision-Language Models. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=3i13Gev2hV
  • Open Access
    García Cerdas, D., Sartzetaki, C., Petersen, M., Roig, G., Mettes, P., & Groen, I. (2025). BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=CGON8Btleu
  • Open Access
    Ayoughi, M., Mettes, P., & Groth, P. (2025). Minimizing Hyperbolic Embedding Distortion with LLM-Guided Hierarchy Restructuring. In K-CAP '25: Proceedings of the 13th Knowledge Capture Conference 2025 : Dayton, Ohio, USA (pp. 123-130). Association for Computing Machinery. https://doi.org/10.1145/3731443.3771357
  • Open Access
    Ayoughi, M., van Spengler, M., Mettes, P., & Groth, P. (2025). Designing Hierarchies for Optimal Hyperbolic Embedding. In E. Curry, M. Acosta, M. Poveda-Villalón, M. van Erp, A. Ojo, K. Hose, C. Shimizu, & P. Lisena (Eds.), The Semantic Web: 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 1–5, 2025 : proceedings (Vol. I, pp. 362-382). (Lecture Notes in Computer Science; Vol. 15718). Springer. https://doi.org/10.1007/978-3-031-94575-5_20
  • Open Access
    Gonzalez-Valenzuela, R. E., Mettes, P., Loos, B. G., Marquering, H., & Berkhout, E. (2025). Accuracy of deep learning-based AI models for early caries lesion detection: the influence of annotation quality and reference choice. Clinical Oral Investigations, 29(12), Article 598. https://doi.org/10.1007/s00784-025-06672-z
  • Gonzalez Valenzuela, R. E., Berkhout, E., Marquering, H., Mettes, P., & Loos, B. (2024). ACTA-DIRECT Dataset [Data set]. Vrije Universiteit Amsterdam. https://doi.org/10.48338/vu01-wk8sqn
  • 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
    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
  • Open Access
    Bretti, C., Mettes, P., Koops, H. V., Odijk, D., & van Noord, N. (2024). Find the Cliffhanger: Multi-modal Trailerness in Soap Operas. In S. Rudinac, A. Hanjalic, C. Liem, M. Worring, B. Þ. Jónsson, B. Liu, & Y. Yamakata (Eds.), MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29–February 2, 2024 : proceedings (Vol. II, pp. 199–212). (Lecture Notes in Computer Science; Vol. 14555). Springer. https://doi.org/10.1007/978-3-031-53308-2_15
  • 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
Page 2 of 8