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Results: 293
Number of items: 293
  • Open Access
    Chen, S. (2023). Machine perception of interactivity in videos. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Pervez, A. A. (2023). Structural constraints in neural network representations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Bagad, P., Tapaswi, M., & Snoek, C. G. M. (2023). Test of Time: Instilling Video-Language Models with a Sense of Time. In CVPR 2023: proceedings: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition : Vancouver, Canada : 18-22 June 2023 (pp. 2503-2516). IEEE Computer Society. https://doi.org/10.48550/arXiv.2301.02074, https://doi.org/10.1109/CVPR52729.2023.00247
  • Open Access
    Chen, S., Du, Y., Mettes, P., & Snoek, C. G. M. (2023). Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation. In ICMR'23: proceedings of the 2023 ACM International Conference on Multimedia Retrieval : Thessaloniki, Greece, June 12-15, 2023 (pp. 39-47). Association for Computing Machinery. https://doi.org/10.48550/arXiv.2306.10122, https://doi.org/10.1145/3591106.3592267
  • Open Access
    Rastegar, S., Doughty, H., & Snoek, C. G. M. (2023). Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2023/hash/e6789e468c65a7816760a00a487d3c4e-Abstract-Conference.html
  • Open Access
    Derakhshani, M. M., Sanchez, E., Bulat, A., Turrisi da Costa, V. G., Snoek, C. G. M., Tzimiropoulos, G., & Martinez, B. (2023). Bayesian Prompt Learning for Image-Language Model Generalization. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 15191-15200). IEEE Computer Society. https://doi.org/10.48550/arXiv.2210.02390, https://doi.org/10.1109/ICCV51070.2023.01398
  • Open Access
    Sosnovik, I. (2023). Symmetry-based learning from limited data. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Salehi, M., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2023). Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 16490-16501). IEEE Computer Society. https://doi.org/10.1109/ICCV51070.2023.01516, https://doi.org/10.48550/arXiv.2308.11796
  • Open Access
    Hu, T. (2023). Label-efficient learning to see. [Thesis, fully internal, Universiteit van Amsterdam].
  • Thoker, F. M., Doughty, H., Bagad, P., & Snoek, C. G. M. (2022). How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning? In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, & T. Hassner (Eds.), Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022 : proceedings (Vol. XXXIV, pp. 632–652). (Lecture Notes in Computer Science; Vol. 13694). Springer. https://doi.org/10.1007/978-3-031-19830-4_36
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