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Results: 111
Number of items: 111
  • Open Access
    Wang, H., Liu, X., Lu, Z., Yan, C., Jiang, X., Wang, R., & Gavves, E. (2025). RADAR: Reasoning AI-Generated Image Detection for Semantic Fakes. Technologies, 13(7), Article 280. https://doi.org/10.3390/technologies13070280
  • Open Access
    Gabel, A., Quax, R., & Gavves, E. (2025). Type-II neural symmetry detection with Lie theory. Scientific Reports, 15, Article 33500. https://doi.org/10.1038/s41598-025-17098-8
  • 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
    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
    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
    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
    de Vries, L. (2025). Revisiting CT perfusion for acute ischemic stroke with deep learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Knigge, D. M., Wessels, D. R., Valperga, R., Papa, S., Sonke, J.-J., Gavves, E., & Bekkers, E. J. (2025). Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. 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. 76553-76577). (Advances in Neural Information Processing Systems; Vol. 37). Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-2438
  • Open Access
    Mojtahedi, S. M. (2025). Unmasking imaging biomarkers with deep learning: Applications in acute ischemic stroke. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Lippe, P. (2025). Learning causal representations in spatio-temporal systems. [Thesis, fully internal, Universiteit van Amsterdam].
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