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Results: 293
Number of items: 293
  • 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
    Jing, M., Li, J., Snoek, C., & Zhen, X. (2023). Variational Model Perturbation for Source-Free Domain Adaptation. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), 36th Conference on Neural Information Processing Systems (NeurIPS 2022): New Orleans, Louisiana, USA, 28 November-9 December 2022 (Vol. 23, pp. 17173-17187). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2022/hash/6d7a9f292360193eb530d693f7941c73-Abstract-Conference.html
  • 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
    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
  • Open Access
    Du, Y., Shen, J., Zhen, X., & Snoek, C. G. M. (2023). SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail. In CVPR 2023: proceedings: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition : Vancouver, Canada : 18-22 June 2023 (pp. 19944-19954). IEEE Computer Society. https://doi.org/10.48550/arXiv.2304.00101, https://doi.org/10.1109/CVPR52729.2023.01910
  • 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
    Sun, H., Lu, X., Wang, H., Yin, Y., Zhen, X., Snoek, C. G. M., & Shao, L. (2023). Attentional prototype inference for few-shot segmentation. Pattern Recognition, 142, Article 109726. https://doi.org/10.1016/j.patcog.2023.109726
  • Open Access
    van Sonsbeek, T., Derakhshani, M. M., Najdenkoska, I., Snoek, C. G. M., & Worring, M. (2023). Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023 : proceedings (Vol. V, pp. 726-736). (Lecture Notes in Computer Science; Vol. 14224). Springer. https://doi.org/10.48550/arXiv.2303.05977, https://doi.org/10.1007/978-3-031-43904-9_70
  • 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
    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
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