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Results: 298
Number of items: 298
  • 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
    Xiao, Z. (2025). Learning to generalize at test time. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    Liebst, L. S., Bernasco, W., Ejbye-Ernst, P., Van Herwijnen, N., Van der Veen, T., Koelma, D., Snoek, C. G. M., & Lindegaard, M. R. (2025). Association Between Social Distancing Compliance and Public Place Crowding During the COVID-19 Pandemic: Cross-Sectional Observational Study Using Computer Vision to Analyze Surveillance Footage. JMIR Public Health and Surveillance, 11, Article e50929. https://doi.org/10.2196/50929
  • 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
    Nguyen, D.-K., Oswald, M. R., & Snoek, C. G. M. (2025). SimPLR: A Simple and Plain Transformer for Scaling-Efficient Object Detection and Segmentation. Transactions on Machine Learning Research, 2025, Article 3114. https://doi.org/10.48550/arXiv.2310.05920
  • Kofinas, M., Knyazev, B., Zhang, Y., Chen, Y., Burghouts, G. J., Gavves, S., Snoek, C. G., & Zhang, D. (2024, May 8). CNN Wild Park - Graph Neural Networks for Learning Equivariant Representations of Neural Networks [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12797219
  • Open Access
    Hu, V. T., Zhang, W., Tang, M., Mettes, P., Zhao, D., & Snoek, C. (2024). Latent Space Editing in Transformer-Based Flow Matching. In M. Wooldridge, J. Dy, & S. Natarajan (Eds.), Proceedings of the 38th AAAI Conference on Artificial Intelligence: AAAI-2024 (Vol. 3, pp. 2247-2255). AAAI Press. https://doi.org/10.1609/aaai.v38i3.27998
  • Open Access
    Xiao, Z., Shen, J., Derakhshani, M. M., Liao, S., & Snoek, C. G. M. (2024). Any-Shift Prompting for Generalization over Distributions. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2024 : Seattle, Washington, USA, 16-22 June 2024 : proceedings (pp. 13849-13860). IEEE Computer Society. https://doi.org/10.48550/arXiv.2402.10099, https://doi.org/10.1109/CVPR52733.2024.01314
  • Open Access
    Dorkenwald, M., Barazani, N., Snoek, C. G. M., & Asano, Y. M. (2024). PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2024 : Seattle, Washington, USA, 16-22 June 2024 : proceedings (pp. 13548-13558). IEEE Computer Society. https://doi.org/10.48550/arXiv.2402.08657, https://doi.org/10.1109/CVPR52733.2024.01286
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