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Results: 298
Number of items: 298
  • Open Access
    Appelman, J., Bijleveld, K., Ejbye-Ernst, P., Hoeben, E., Liebst, L., Snoek, C., Koelma, D., & Rosenkrantz Lindegaard, M. (2021). Naleving van gedragsmaatregelen tijdens de COVID-19-pandemie. Justitiële Verkenningen, 47(3), 54-71. https://doi.org/10.5553/JV/016758502021047003004
  • Open Access
    Chen, S., Mettes, P., & Snoek, C. G. M. (2021). Diagnosing Errors in Video Relation Detectors. In 32nd British Machine Vision Conference 2021: BMVC 2021, Online, November 22-25, 2021 Article 241 BMVA Press.
  • Open Access
    Zhang, Y., Shao, L., & Snoek, C. G. M. (2021). Repetitive Activity Counting by Sight and Sound. In Proceedings, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: virtual, 9-25 June 2021 (pp. 14065-14074). (CVPR). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.48550/arXiv.2103.13096, https://doi.org/10.1109/CVPR46437.2021.01385
  • 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
    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
    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
    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
    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
    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
    Derakhshani, M. M., Zhen, X., Shao, L., & Snoek, C. G. M. (2021). Kernel Continual Learning. Proceedings of Machine Learning Research, 139, 2621-2631. https://proceedings.mlr.press/v139/derakhshani21a.html
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