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Results: 318
Number of items: 318
  • Open Access
    Jain, M., Ghodrati, A., & Snoek, C. G. M. (2020). ActionBytes: Learning from Trimmed Videos to Localize Actions. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : virtual, 14-19 June 2020 (pp. 1168-1177). (CVPR). IEEE Computer Society. https://doi.org/10.1109/CVPR42600.2020.00125
  • 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
    Thong, W., Mettes, P., & Snoek, C. G. M. (2020). Open Cross-Domain Visual Search. Computer Vision and Image Understanding, 200, Article 103045. https://doi.org/10.1016/j.cviu.2020.103045
  • Open Access
    Chen, Y., Hu, V. T., Gavves, E., Mensink, T., Mettes, P., Yang, P., & Snoek, C. G. M. (2020). PointMixup: Augmentation for Point Clouds. 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. III, pp. 330-345). (Lecture Notes in Computer Science; Vol. 12348). Springer. https://doi.org/10.1007/978-3-030-58580-8_20
  • Open Access
    Gavrilyuk, K., Sanford, R., Javan, M., & Snoek, C. G. M. (2020). Actor-Transformers for Group Activity Recognition. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : virtual, 14-19 June 2020 (pp. 836-845). (CVPR). IEEE Computer Society. https://doi.org/10.1109/CVPR42600.2020.00092
  • 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
    Zhao, J., Han, J., Shao, L., & Snoek, C. G. M. (2020). Pixelated Semantic Colorization. International Journal of Computer Vision, 128(4), 818–834. https://doi.org/10.1007/s11263-019-01271-4
  • 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
    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
    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
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