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Results: 40
Number of items: 40
  • Habibian, A., Mensink, T., & Snoek, C. G. M. (2014). Composite Concept Discovery for Zero-Shot Video Event Detection. In ICMR Glasgow 2014: proceedings of the ACM International Conference on Multimedia Retrieval 2014: April 1st-4th, 2014, Glasgow, UK (pp. 17-24). Association for Computing Machinery. https://doi.org/10.1145/2578726.2578746
  • Mensink, T., & van Gemert, J. (2014). The Rijksmuseum Challenge: Museum-Centered Visual Recognition. In ICMR Glasgow 2014: proceedings of the ACM International Conference on Multimedia Retrieval 2014: April 1st-4th, 2014, Glasgow, UK (pp. 451-454). Association for Computing Machinery. https://doi.org/10.1145/2578726.2578791
  • Habibian, A., Mensink, T., & Snoek, C. G. M. (2014). VideoStory: A New Multimedia Embedding for Few-Example Recognition and Translation of Events. In MM '14: proceedings of the 2014 ACM Conference on Multimedia: November 3-7, 2014, Orlando, Florida, USA (pp. 17-26). ACM. https://doi.org/10.1145/2647868.2654913
  • 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
    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
    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
    Mensink, T., Verbeek, J., Perronnin, F., & Csurka, G. (2013). Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets. In G. M. Farinella, S. Battiato, & R. Cipolla (Eds.), Advanced topics in computer vision (pp. 243-276). (Advances in computer vision and pattern recognition). Springer. https://doi.org/10.1007/978-1-4471-5520-1_9
  • Open Access
    Sánchez, J., Perronnin, F., Mensink, T., & Verbeek, J. (2013). Image Classification with the Fisher Vector: Theory and Practice. International Journal of Computer Vision, 105(3), 222-245. https://doi.org/10.1007/s11263-013-0636-x
  • Open Access
    Mensink, T., Verbeek, J., Perronnin, F., & Csurka, G. (2013). Distance-Based Image Classification: Generalizing to New Classes at Near Zero Cost. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(11), 2624-2637. https://doi.org/10.1109/TPAMI.2013.83
  • Mensink, T., Kröse, B. J. A., & Zajdel, W. P. (2007). Distributed Appearance Based Tracking using the EM algorithm. In Proceedings of the 2007 First ACM/IEEE International Conference on Distributed Smart Cameras (pp. 178-184). IEEE. http://www.science.uva.nl/research/isla/pub/Mensink07icdsc.pdf
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