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Results: 293
Number of items: 293
  • Open Access
    Runia, T. F. H. (2021). Recurrent motion in vision. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Liao, S. (2021). Deep learning with 3D and label geometry. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Chen, S., Shi, Z., Mettes, P., & Snoek, C. G. M. (2021). Social fabric: Tubelet compositions for video relation detection. In 2021 IEEE/CVF International Conference on Computer Vision: proceedings : ICCV 2021 : 11-17 October 2021, virtual event (pp. 13465-13474). (International Conference on Computer Vision; Vol. 18). IEEE Computer Society. https://doi.org/10.1109/ICCV48922.2021.01323
  • Open Access
    Gavrilyuk, K., Jain, M., Karmanov, I., & Snoek, C. G. M. (2021). Motion-Augmented Self-Training for Video Recognition at Smaller Scale. In 2021 IEEE/CVF International Conference on Computer Vision: proceedings : ICCV 2021 : 11-17 October 2021, virtual event (pp. 10409-10418). (International Conference on Computer Vision; Vol. 18). IEEE Computer Society. https://doi.org/10.1109/ICCV48922.2021.01026
  • Open Access
    Thoker, F. M., & Snoek, C. G. M. (2021). Feature-Supervised Action Modality Transfer. In Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021 (pp. 3751-3758). IEEE. https://doi.org/10.1109/ICPR48806.2021.9412467
  • Open Access
    Thong, W., & Snoek, C. G. M. (2020). Bias-Awareness for Zero-Shot Learning the Seen and Unseen. In 31st British Machine Vision Conference 2020: BMVC 2020, Virtual Event, UK, September 7-10, 2020 Article 261 BMVA Press.
  • Open Access
    Thong, W., Mettes, P., & Snoek, C. G. M. (2020). Open Cross-Domain Visual Search. Computer Vision and Image Understanding, 200, Article 103045. https://doi.org/10.1016/j.cviu.2020.103045
  • Open Access
    Zhen, X., Sun, H., Du, Y., Xu, J., Yin, Y., Shao, L., & Snoek, C. (2020). Learning to learn kernels with variational random features. Proceedings of Machine Learning Research, 119, 11409-11419. https://doi.org/10.48550/arXiv.2006.06707
  • Open Access
    Yang, P., Hu, V. T., Mettes, P., & Snoek, C. G. M. (2020). Localizing the Common Action Among a Few Videos. In A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 : proceedings (Vol. VII, pp. 505-521). (Lecture Notes in Computer Science; Vol. 12352). Springer. https://doi.org/10.1007/978-3-030-58571-6_30
  • Open Access
    Narayan, S., Gupta, A., Khan, F. S., Snoek, C. G. M., & Shao, L. (2020). Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. In A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 : proceedings (Vol. XXII, pp. 479-495). (Lecture Notes in Computer Science; Vol. 12367). Springer. https://doi.org/10.1007/978-3-030-58542-6_29
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