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Results: 297
Number of items: 297
  • Xie, L., Shamma, D. A., & Snoek, C. (2014). Content is Dead ... Long Live Content: The New Age of Multimedia-Hard Problems. IEEE Multimedia, 21(1), 4-8. https://doi.org/10.1109/MMUL.2014.5
  • Habibian, A., & Snoek, C. G. M. (2014). Recommendations for Recognizing Video Events by Concept Vocabularies. Computer Vision and Image Understanding, 124, 110-122. https://doi.org/10.1016/j.cviu.2014.02.003
  • Del Bimbo, A., Candan, K. S., J., Y.-G., Luo, J., Mei, T., Sebe, N., Shen, H. T., Snoek, C. G. M., & Yan, R. (2014). Guest editorial: Special Section on Socio-Mobile Media Analysis and Retrieval. IEEE Transactions on Multimedia, 16(3), 586-587. https://doi.org/10.1109/TMM.2014.2304314
  • Yang, Y., Sebe, N., Snoek, C., Hua, X. S., & Zhuang, Y. (2014). Special Section on Learning from Multiple Evidences for Large Scale Multimedia Analysis: editorial. Computer Vision and Image Understanding, 118, 1. https://doi.org/10.1016/j.cviu.2013.09.001
  • 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
    Myers, G. K., Nallapati, R., van Hout, J., Pancoast, S., Nevatia, R., Sun, C., Habibian, A., Koelma, D. C., van de Sande, K. E. A., Smeulders, A. W. M., & Snoek, C. G. M. (2014). Evaluating Multimedia Features and Fusion for Example-Based Event Detection. Machine Vision and Applications, 25(1), 17-32. https://doi.org/10.1007/s00138-013-0527-8
  • Open Access
    Snoek, C. G. M., van de Sande, K. E. A., Fontijne, D., Cappallo, S., van Gemert, J., Habibian, A., Mensink, T., Mettes, P., Tao, R., Koelma, D. C., & Smeulders, A. W. M. (2014). MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video. In 2014 TREC Video Retrieval Evaluation: notebook papers and slides National Institute of Standards and Technology. http://www-nlpir.nist.gov/projects/tvpubs/tv14.papers/mediamill.pdf
  • Open Access
    Mensink, T., Gavves, E., & Snoek, C. G. M. (2014). COSTA: Co-Occurrence Statistics for Zero-Shot Classification. In Proceedings: 2014 IEEE Conference on Computer Vision and Pattern Recognition: 23-28 June 2014, Columbus, Ohio (pp. 2441-2448). IEEE Computer Society. https://doi.org/10.1109/CVPR.2014.313
  • Open Access
    Jain, M., van Gemert, J., & Snoek, C. G. M. (2014). University of Amsterdam at THUMOS Challenge 2014. In THUMOS Challenge 2014: notebook papers Center for Research in Computer Vision, University of Central Florida. http://crcv.ucf.edu/THUMOS14/papers/University%20of%20Amesterdam.pdf
  • Open Access
    Gavves, E. (2014). Nuances in visual recognition. [Thesis, fully internal, Universiteit van Amsterdam].
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