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Results: 5
Number of items: 5
  • 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
    Gavrilyuk, K., Ghodrati, A., Li, Z., & Snoek, C. G. M. (2018). Actor and Action Video Segmentation From a Sentence. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 18-22 June 2018, Salt Lake City, Utah (pp. 5958-5966). IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00624
  • Open Access
    Ghodrati, A., Gavves, E., & Snoek, C. G. M. (2018). Video Time: Properties, Encoders and Evaluation. In British Machine Vision Conference 2018: BMVC 2018, Newcastle, UK, September 3-6, 2018 Article 859 BMVA Press.
  • Fernando, B., Gavves, E., Oramas M., J., Ghodrati, A., & Tuytelaars, T. (2017). Rank Pooling for Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(4), 773-787. https://doi.org/10.1109/TPAMI.2016.2558148
  • Open Access
    Ghodrati, A., Diba, A., Pedersoli, M., Tuytelaars, T., & Van Gool, L. (2017). DeepProposals: Hunting objects and actions by cascading deep convolutional layers. International Journal of Computer Vision, 124(2), 115-131. https://doi.org/10.1007/s11263-017-1006-x
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