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Results: 298
Number of items: 298
  • Open Access
    Narayan, S., Gupta, A., Khan, F. S., Snoek, C. G. M., & Shao, L. (2020). Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification. In A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 : proceedings (Vol. XXII, pp. 479-495). (Lecture Notes in Computer Science; Vol. 12367). Springer. https://doi.org/10.1007/978-3-030-58542-6_29
  • Open Access
    Runia, T. F. H., Gavrilyuk, K., Snoek, C. G. M., & Smeulders, A. W. M. (2020). Cloth in the Wind: A Case Study of Physical Measurement through Simulation. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : virtual, 14-19 June 2020 (pp. 10495-10504). (CVPR). IEEE Computer Society. https://doi.org/10.1109/CVPR42600.2020.01051
  • Open Access
    Thong, W., & Snoek, C. G. M. (2020). Bias-Awareness for Zero-Shot Learning the Seen and Unseen. In 31st British Machine Vision Conference 2020: BMVC 2020, Virtual Event, UK, September 7-10, 2020 Article 261 BMVA Press.
  • Open Access
    Mettes, P., Koelma, D. C., & Snoek, C. G. M. (2020). Shuffled ImageNet Banks for Video Event Detection and Search. ACM Transactions on Multimedia Computing Communications and Applications, 16(2), Article 44. https://doi.org/10.1145/3377875
  • Open Access
    Mettes, P., Van Der Pol, E., & Snoek, C. (2020). Hyperspherical Prototype Networks. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, & R. Garnett (Eds.), 32nd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019 (Vol. 2, pp. 1476-1486). (Advances in Neural Information Processing Systems; Vol. 32). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2019/hash/02a32ad2669e6fe298e607fe7cc0e1a0-Abstract.html
  • Open Access
    Chen, S., Mettes, P., Hu, T., & Snoek, C. G. M. (2020). Interactivity Proposals for Surveillance Videos. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 108-116). The Association for Computing Machinery. https://doi.org/10.1145/3372278.3390680
  • Open Access
    Runia, T. F. H., Snoek, C. G. M., & Smeulders, A. W. M. (2019). Repetition Estimation. International Journal of Computer Vision, 127(9), 1361–1383. https://doi.org/10.1007/s11263-019-01194-0
  • Open Access
    Liao, S., Gavves, E., & Snoek, C. G. M. (2019). Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 16-20 June 2019, Long Beach, California (pp. 9751-9759). (CVPR). IEEE Computer Society. https://doi.org/10.48550/arXiv.1904.05404, https://doi.org/10.1109/CVPR.2019.00999
  • Open Access
    Mettes, P., & Snoek, C. G. M. (2019). Pointly-Supervised Action Localization. International Journal of Computer Vision, 127(3), 263–281. https://doi.org/10.1007/s11263-018-1120-4
  • Open Access
    Cappallo, S., Svetlichnaya, S., Garrigues, P., Mensink, T., & Snoek, C. G. M. (2019). New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval. IEEE Transactions on Multimedia, 21(2), 402-415. https://doi.org/10.1109/TMM.2018.2862363
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