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Results: 70
Number of items: 70
  • 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
    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
  • 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
    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
    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
    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
  • 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
    Shi, Z., Mettes, P., & Snoek, C. G. M. (2024). Focus for Free in Density-Based Counting. International Journal of Computer Vision, 132(7), 2600-2617. https://doi.org/10.1007/s11263-024-01990-3
  • 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
    Hu, V. T., Wu, D., Asano, Y. M., Mettes, P., Fernández-Méndez, F., Ommer, B., & Snoek, C. G. M. (2024). Flow Matching for Conditional Text Generation in a Few Sampling Steps. In Y. Graham, & M. Purver (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics: proceedings of the conference : EACL 2024 : March 17-22, 2024 (Vol. 2, pp. 380-392). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-short.33
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