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Results: 49
Number of items: 49
  • Open Access
    Najdenkoska, I. (2025). Learning from context with multimodal foundation models. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Najdenkoska, I., Derakhshani, M. M., Asano, Y. M., van Noord, N., Worring, M., & Snoek, C. G. M. (2025). TULIP: Token-length upgraded CLIP. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=r9oqHOdoHf
  • Open Access
    van Sprang, A., Samson, L., Lucic, A., Acar, E., Ghebreab, S., & Asano, Y. M. (2025). Same Content, Different Answers: Cross-Modal Inconsistency in MLLMs. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2512.08923
  • Open Access
    Salehidehnavi, M., Apostolikas, N., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2025). Redefining Normal: A Novel Object-Level Approach for Multi-object Novelty Detection. In M. Cho, I. Laptev, D. Tran, A. Yao, & H. Zha (Eds.), Computer Vision – ACCV 2024: 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8–12, 2024 : proceedings (Vol. VI, pp. 445-461). (Lecture Notes in Computer Science; Vol. 15477). Springer. https://doi.org/10.1007/978-981-96-0960-4_27
  • Open Access
    Konstantakos, S., Cani, J., Mademlis, I., Chalkiadaki, D. I., Asano, Y. M., Gavves, E., & Papadopoulos, G. T. (2025). Self-supervised visual learning in the low-data regime: A comparative evaluation. Neurocomputing, 620, Article 129199. https://doi.org/10.1016/j.neucom.2024.129199
  • Open Access
    Simoncini, W., Dorkenwald, M., Blankevoort, T., Snoek, C. G. M., & Asano, Y. M. (2025). Elastic ViTs from Pretrained Models without Retraining. In D. Belgrave, C. Zhang, H. Lin, R. Pascanu, P. Koniusz, M. Ghassemi, & N. Chen (Eds.), 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025): 2-7 December 2025, San Diego, California, USA and 30 November-5 December 2025, Mexico City, Mexico (pp. 27652-27682). (Advances in Neural Information Processing Systems; Vol. 38). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2510.17700, https://doi.org/10.52202/085713-0824
  • Open Access
    Sträter, L. P. J., Salehidehnavi, S., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2025). GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XXXVII (Vol. XXXVII, pp. 448-465). (Lecture Notes in Computer Science; Vol. 15059). Springer. https://doi.org/10.1007/978-3-031-72913-3_25
  • Open Access
    Salehi, S., Dorkenwald, M., Thoker, F. M., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2025). SIGMA: Sinkhorn-Guided Masked Video Modeling. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024 : proceedings (Vol. XXIV, pp. 293-312). (Lecture Notes in Computer Science; Vol. 15082). Springer. https://doi.org/10.1007/978-3-031-72691-0_17
  • Open Access
    van den dool, W., Zhdanov, M., Asano, Y. M., & Welling, M. (2025). Adaptive Mesh-Quantization for Neural PDE Solvers. Transactions on Machine Learning Research, 2025, Article 5469. https://openreview.net/forum?id=NN17y897WG
  • Open Access
    Lippe, P. (2025). Learning causal representations in spatio-temporal systems. [Thesis, fully internal, Universiteit van Amsterdam].
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