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Results: 70
Number of items: 70
  • 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
    Zuanazzi, V., van Vugt, J., Booij, O., & Mettes, P. (2020). Adversarial Self-Supervised Scene Flow Estimation. In 2020 International Conference on 3D Vision: 3DV 2020 : proceedings : 25-28 November 2020, virtual event (pp. 1049-1058). IEEE Computer Society. https://doi.org/10.1109/3DV50981.2020.00115
  • Hommos, O., Pintea, S. L., Mettes, P. S. M., & van Gemert, J. C. (2019). Using phase instead of optical flow for action recognition. In L. Leal-Taixé, & S. Roth (Eds.), Computer Vision – ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018 : proceedings (Vol. VI, pp. 678-691). (Lecture Notes in Computer Science; Vol. 11134). Springer. https://doi.org/10.1007/978-3-030-11024-6_51
  • Brown, A., Mettes, P., & Worring, M. (2019). 4-Connected Shift Residual Networks. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 1990-1997). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00248
  • de la Riva, M., & Mettes, P. (2019). Bayesian 3D ConvNets for Action Recognition from Few Examples. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 1337-1343). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00169
  • Ibrahimi, S., Chen, S., Arya, D., Câmara, A., Chen, Y., Crijns, T., van der Goes, M., Mensink, T., van Miltenburg, E., Odijk, D., Thong, W., Zhao, J., & Mettes, P. (2019). Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 2196-2198). Association for Computing Machinery. https://doi.org/10.1145/3343031.3350597
  • 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
    Hu, T., Mettes, P., Huang, J.-H., & Snoek, C. G. M. (2019). SILCO: Show a Few Images, Localize the Common Object. In Proceedings, 2019 International Conference on Computer Vision: 27 October-2 November 2019, Seoul, Korea (pp. 5066-5075). (ICCV). IEEE Computer Society. https://doi.org/10.1109/ICCV.2019.00517
  • Open Access
    Shi, Z., Mettes, P., & Snoek, C. G. M. (2019). Counting with Focus for Free. In Proceedings, 2019 International Conference on Computer Vision: 27 October-2 November 2019, Seoul, Korea (pp. 4199-4208). (ICCV). IEEE Computer Society. https://doi.org/10.1109/ICCV.2019.00430
  • Open Access
    Mettes, P., & Snoek, C. G. M. (2017). Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions. In 2017 IEEE International Conference on Computer Vision : ICCV 2017: proceedings : 22-29 October 2017, Venice, Italy (pp. 4453-4462). IEEE Computer Society. https://doi.org/10.1109/ICCV.2017.476
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