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Results: 298
Number of items: 298
  • Open Access
    Du, Y. (2025). Learning to learn with less and less. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    Rastegar, S., Salehi, M., Asano, Y. M., Doughty, H., & Snoek, C. G. M. (2025). SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery. 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. LXX, pp. 440–458). (Lecture Notes in Computer Science; Vol. 15128). Springer. https://doi.org/10.1007/978-3-031-72897-6_25
  • Open Access
    Chen, A., Doughty, H., Li, X., & Snoek, C. G. M. (2025). Beyond Coarse-Grained Matching in Video-Text Retrieval. 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. III, pp. 25-43). (Lecture Notes in Computer Science ; Vol. 15474 ). Springer. https://doi.org/10.1007/978-981-96-0908-6_2
  • 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
    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
    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
    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
  • Open Access
    Du, Y., Sun, H., Zhen, X., Xu, J., Yin, Y., Shao, L., & Snoek, C. G. M. (2024). MetaKernel: Learning Variational Random Features With Limited Labels. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(3), 1464-1478. https://doi.org/10.1109/TPAMI.2022.3154930
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