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Results: 9
Number of items: 9
  • Open Access
    Li, Z., Gavrilyuk, K., Gavves, E., Jain, M., & Snoek, C. G. M. (2018). VideoLSTM Convolves, Attends and Flows for Action Recognition. Computer Vision and Image Understanding, 166, 41-50. https://doi.org/10.1016/j.cviu.2017.10.011
  • 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
    Li, Z. (2017). Exploring locality for visual recognition. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Li, Z., Tao, R., Gavves, E., Snoek, C. G. M., & Smeulders, A. W. M. (2017). Tracking by Natural Language Specification. In 30th IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2017 : 21-26 July 2016, Honolulu, Hawaii : proceedings (pp. 7350-7358). IEEE. https://doi.org/10.1109/CVPR.2017.777
  • Open Access
    De Geest, R., Gavves, E., Ghodrati, A., Li, Z., Snoek, C., & Tuytelaars, T. (2016). Online Action Detection. In B. Leibe, J. Matas, N. Sebe, & M. Welling (Eds.), Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016 : proceedings (Vol. 5, pp. 269-284). (Lecture Notes in Computer Science; Vol. 9909). Springer. https://doi.org/10.1007/978-3-319-46454-1_17
  • Open Access
    Li, Z., Gavves, E., Mensink, T., & Snoek, C. G. M. (2014). Attributes Make Sense on Segmented Objects. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Computer Vision – ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014: proceedings (Vol. VI, pp. 350-365). (Lecture Notes in Computer Science; Vol. 8694). Springer. https://doi.org/10.1007/978-3-319-10599-4_23
  • Open Access
    Li, Z., Gavves, E., van de Sande, K. E. A., Snoek, C. G. M., & Smeulders, A. W. M. (2013). Codemaps: Segment, Classify and Search Objects Locally. In 2013 IEEE International Conference on Computer Vision: ICCV 2013 : proceedings: 1-8 December 2013, Sydney, NSW, Australia (pp. 2136-2143). IEEE Computer Society. https://doi.org/10.1109/ICCV.2013.454
  • Li, Z., & Lew, M. S. (2012). Cost-sensitive learning in social image tagging: review, new ideas and evaluation. International Journal of Multimedia Information Retrieval, 1(4), 205-222. https://doi.org/10.1007/s13735-012-0022-4
  • Open Access
    Snoek, C. G. M., van de Sande, K. E. A., Habibian, A., Kordumova, S., Li, Z., Mazloom, M., Pintea, S. L., Tao, R., Koelma, D. C., & Smeulders, A. W. M. (2012). The MediaMill TRECVID 2012 semantic video search engine. Paper presented at TRECVID 2012. http://www-nlpir.nist.gov/projects/tvpubs/tv12.papers/mediamill.pdf
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