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Results: 318
Number of items: 318
  • Open Access
    Cores, D., Dorkenwald, M., Mucientes, M., Snoek, C. G. M., & Asano, Y. M. (2025). Lost in Time: A New Temporal Benchmark for VideoLLMs. In The 36th British Machine Vision Conference: BMVC 2025 : 24th-27th November 2025, Sheffield, UK Article 857 BMVA. https://bmvc2025.bmva.org/proceedings/857/
  • 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
    Du, Y. (2025). Learning to learn with less and less. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    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
    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
    Salehi, M., Venkataramanan, S., Simion, I., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2025). MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning. In 2025 IEEE/CVF International Conference on Computer Vision: ICCV 2025 : Honolulu, Hawaii, USA, 19-23 October 2025 : proceedings (pp. 6541-6551). IEEE Computer Society. https://doi.org/10.48550/arXiv.2506.08694, https://doi.org/10.1109/ICCV51701.2025.00617
  • 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
    Brands, A. M. (2025). Temporal adaptation during visual processing: Insights from humans and vision 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
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