Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 79
Number of items: 79
  • Open Access
    Mago, G., Mettes, P., & Rudinac, S. (2026). Looking Beyond the Obvious: A Survey on Abstract Concept Recognition for Video Understanding. International Journal of Computer Vision, 134(4), Article 217. https://doi.org/10.1007/s11263-026-02784-5
  • Open Access
    Ayoughi, M. (2026). External and internal semantics for visual understanding. [Thesis, fully internal, Universiteit van Amsterdam].
  • Gonzalez Valenzuela, R. E., Mishra, S., Berkhout, Erwin, Mettes, P., Marquering, Henk, & Loos, Bruno (2025). ACTA-Bw25-RefStd Dataset [Data set]. Vrije Universiteit Amsterdam. https://doi.org/10.48338/vu01-uhgi3k
  • Gonzalez Valenzuela, R. E., Berkhout, E., Marquering, H., Mettes, P., & Loos, B. (2025). ACTA-DIRECT Dataset v2 [Data set]. Vrije Universiteit Amsterdam. https://doi.org/10.48338/vu01-h5alyj
  • Open Access
    Gonzalez Valenzuela, R. E., Vu, Q. T. D., Mettes, P., Loos, B. G., Marquering, H., & Berkhout, E. (2025). Microtomography to traditional dental radiograph: projecting 3-dimensional initial proximal caries lesion annotations for enhanced radiographic delineation. Dentomaxillofacial Radiology, 54(4), 320-328. https://doi.org/10.1093/dmfr/twae058
  • Open Access
    Bhowmik, A., Mettes, P., Oswald, M. R., & Snoek, C. G. M. (2025). Union-over-Intersections: Object Detection beyond Winner-Takes-All. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=HqLHY4TzGj
  • Open Access
    Atigh, M. G., Nargang, S., Keller-Ressel, M., & Mettes, P. (2025). SimZSL: Zero-Shot Learning Beyond a Pre-defined Semantic Embedding Space. International Journal of Computer Vision, 133(8), 5161-5177. https://doi.org/10.1007/s11263-025-02422-6
  • Open Access
    van Spengler, M., & Mettes, P. (2025). Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space. Proceedings of Machine Learning Research, 267, 60792-60815. https://openreview.net/forum?id=47ghX0qpYW
  • Open Access
    Kayal, P., Mettes, P., Dehmamy, N., & Park, M. (2025). Large Language Models Are Natural Video Popularity Predictors. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : Findings of the Association for Computational Linguistics: ACL 2025: ACL 2025 : July 27-August 1, 2025 (pp. 11432–11464). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-acl.597
  • Open Access
    Poppi, T., Kasarla, T., Mettes, P., Baraldi, L., & Cucchiara, R. (2025). Hyperbolic Safety-Aware Vision-Language Models. In 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition : CVPR 2025: Nashville, Tennessee, USA, 11-15 June 2025 : proceedings (pp. 4222-4232). IEEE Computer Society. https://doi.org/10.48550/arXiv.2503.12127, https://doi.org/10.1109/CVPR52734.2025.00399
Page 1 of 8