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Results: 298
Number of items: 298
  • 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
    Mettes, P., Thong, W., & Snoek, C. G. M. (2021). Object priors for classifying and localizing unseen actions. International Journal of Computer Vision, 129(6), 1954–1971. https://doi.org/10.1007/s11263-021-01454-y
  • 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
    Zhen, X., Du, Y., Xiong, H., Qiu, Q., Snoek, C., & Shao, L. (2021). Learning to Learn Variational Semantic Memory. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, & H. Lin (Eds.), 34th Concerence on Neural Information Processing Systems (NeurIPS 2020): online, 6-12 December 2020 (Vol. 11, pp. 9122-9134). (Advances in Neural Information Processing Systems; Vol. 33). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2020/hash/67d16d00201083a2b118dd5128dd6f59-Abstract.html
  • Open Access
    Du, Y., Holla, N., Zhen, X., Snoek, C. G. M., & Shutova, E. (2021). Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: ACL-IJCNLP 2021 : proceedings of the conference : August 1-6, 2021 (Vol. 1, pp. 5254-5268). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.acl-long.409
  • Open Access
    Thong, W., & Snoek, C. G. M. (2021). Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias. In 32nd British Machine Vision Conference 2021: BMVC 2021, Online, November 22-25, 2021 Article 130 BMVA Press.
  • Open Access
    Kıcanaoğlu, B. (2021). Deep representations of structures in the 3D-world. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Wang, H., Yang, Y., Cao, X., Zhen, X., Snoek, C., & Shao, L. (2021). Variational prototype inference for few-shot semantic segmentation. In 2021 IEEE Winter Conference on Applications of Computer Vision: proceedings : 5-9 January 2021, virtual event (pp. 525-534). (WACV). IEEE Computer Society. https://doi.org/10.1109/WACV48630.2021.00057
  • Open Access
    Yang, P., Mettes, P., & Snoek, C. G. M. (2021). Few-Shot Transformation of Common Actions into Time and Space. In Proceedings, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: virtual, 9-25 June 2021 (pp. 16026-16035). (CVPR). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.48550/arXiv.2104.02439, https://doi.org/10.1109/CVPR46437.2021.01577
  • 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
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