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Results: 298
Number of items: 298
  • Open Access
    Nguyen, D. K. (2026). On inductive biases in vision transformers. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Rastegar, S. (2026). Unveiling the unknown: Learning and generalizing beyond predefined visual boundaries. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    Brands, A. M. (2025). Temporal adaptation during visual processing: Insights from humans and vision models. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Zhang, Y., Doughty, H., & Snoek, C. G. M. (2025). Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight. International Journal of Computer Vision, 133(4), 2136-2157. https://doi.org/10.1007/s11263-024-02273-7
  • Open Access
    Bagad, P., Tapaswi, M., Snoek, C. G. M., & Zisserman, A. (2025). The Sound of Water: Inferring Physical Properties from Pouring Liquids. In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Hyderabad, India, 6-11 April 2025 (pp. 736-740). IEEE. https://doi.org/10.1109/ICASSP49660.2025.10889950
  • Open Access
    Du, Y., Sun, W., & Snoek, C. G. M. (2025). IPO: Interpretable Prompt Optimization for Vision-Language Models. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), 38th Conference on Neural Information Processing Systems (NeurIPS 2024): 10-15 December 2024, Vancouver, Canada (pp. 126725-126766). (Advances in Neural Information Processing Systems; Vol. 37). Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-4025
  • 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
    Liu, H., Ilievski, F., & Snoek, C. G. M. (2025). Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning. In 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition : CVPR 2025: Nashville, Tennessee, USA, 11-15 June 2025 : proceedings (pp. 3262-3271). IEEE Computer Society. https://doi.org/10.48550/arXiv.2501.05069, https://doi.org/10.1109/CVPR52734.2025.00310
  • Open Access
    Xiao, Z. (2025). Learning to generalize at test time. [Thesis, fully internal, Universiteit van Amsterdam].
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