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Results: 318
Number of items: 318
  • Open Access
    Kıcanaoğlu, B. (2021). Deep representations of structures in the 3D-world. [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
    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
    Xiao, Z., Shen, J., Zhen, X., Shao, L., & Snoek, C. G. M. (2021). A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. Proceedings of Machine Learning Research, 139, 11351-11361. https://proceedings.mlr.press/v139/xiao21a.html
  • Open Access
    Klomp, S. R., van Rijn, M., Wijnhoven, R. G. J., Snoek, C. G. M., & de With, P. H. N. (2021). Safe Fakes: Evaluating Face Anonymizers for Face Detectors. In V. Štruc, & M. Ivanovska (Eds.), 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021): Jodhpur, India (virtual event), December 15-18, 2021 : proceedings (pp. 121-128). Article 17 IEEE. https://doi.org/10.1109/FG52635.2021.9666936
  • 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
    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
    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
    Runia, T. F. H. (2021). Recurrent motion in vision. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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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