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Results: 298
Number of items: 298
  • Open Access
    Thoker, F. M., Doughty, H., & Snoek, C. G. M. (2023). Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 13766-13777). IEEE Computer Society. https://doi.org/10.48550/arXiv.2303.11003, https://doi.org/10.1109/ICCV51070.2023.01270
  • Open Access
    Jing, M., Zhen, X., Li, J., & Snoek, C. G. M. (2023). Order-preserving Consistency Regularization for Domain Adaptation and Generalization. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 18870-18881). IEEE Computer Society. https://doi.org/10.48550/arXiv.2309.13258, https://doi.org/10.1109/ICCV51070.2023.01734
  • Open Access
    Sun, W., Du, Y., Zhen, X., Wang, F., Wang, L., & Snoek, C. G. M. (2023). MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks. Proceedings of Machine Learning Research, 202, 32847-32858. https://proceedings.mlr.press/v202/sun23b.html
  • Open Access
    Hu, V. T., Zhang, D. W., Asano, Y. M., Burghouts, G. J., & Snoek, C. G. M. (2023). Self-Guided Diffusion Models. In CVPR 2023: proceedings: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition : Vancouver, Canada : 18-22 June 2023 (pp. 18413-18422). IEEE Computer Society. https://doi.org/10.48550/arXiv.2210.06462, https://doi.org/10.1109/CVPR52729.2023.01766
  • Open Access
    Hu, T., Thong, W., Mettes, P., & Snoek, C. G. M. (2023). Query by Activity Video in the Wild. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2311.13895
  • Open Access
    Du, Y., Shen, J., Zhen, X., & Snoek, C. G. M. (2023). EMO: Episodic Memory Optimization for Few-Shot Meta-Learning. Proceedings of Machine Learning Research, 232. https://doi.org/10.48550/arXiv.2306.05189
  • Open Access
    Bernasco, W., Hoeben, E. M., Koelma, D., Liebst, L. S., Thomas, J., Appelman, J., Snoek, C. G. M., & Lindegaard, M. R. (2023). Promise Into Practice: Application of Computer Vision in Empirical Research on Social Distancing. Sociological Methods and Research, 52(3), 1239–1287. https://doi.org/10.1177/00491241221099554
  • Open Access
    Yang, P., Snoek, C. G. M., & Asano, Y. M. (2023). Self-Ordering Point Clouds. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 15767-15776). IEEE Computer Society. https://doi.org/10.48550/arXiv.2304.00961, https://doi.org/10.1109/ICCV51070.2023.01449
  • 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
    Bhowmik, A., Wang, Y., Baka, N., Oswald, M. R., & Snoek, C. G. M. (2023). Detecting Objects with Context-Likelihood Graphs and Graph Refinement. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 6501-6510). IEEE Computer Society. https://doi.org/10.1109/ICCV51070.2023.00600
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