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Results: 516
Number of items: 516
  • Open Access
    Gavves, E., Fernando, B., Snoek, C. G. M., Smeulders, A. W. M., & Tuytelaars, T. (2013). Fine-Grained Categorization by Alignments. In 2013 IEEE International Conference on Computer Vision: ICCV 2013 : proceedings: 1-8 December 2013, Sydney, NSW, Australia (pp. 1713-1720). IEEE Computer Society. https://doi.org/10.1109/ICCV.2013.215
  • Huurnink, B., Snoek, C. G. M., de Rijke, M., & Smeulders, A. W. M. (2012). Content-based analysis improves audiovisual archive retrieval. IEEE Transactions on Multimedia, 14(4), 1166-1178. https://doi.org/10.1109/TMM.2012.2193561
  • Gavves, E., Snoek, C. G. M., & Smeulders, A. W. M. (2012). Convex reduction of high-dimensional kernels for visual classification. In IEEE Conference on Computer Vision and Pattern Recognition (pp. 3610-3617). IEEE. https://doi.org/10.1109/CVPR.2012.6248106
  • Li, X., Snoek, C. G. M., Worring, M., & Smeulders, A. W. M. (2012). Fusing concept detection and geo context for visual search. In H. S. I. Horace (Ed.), Proceedings of the 2nd ACM International Conference on Multimedia Retrieval (pp. 4). ACM. https://doi.org/10.1145/2324796.2324801
  • Li, X., Snoek, C. G. M., Worring, M., & Smeulders, A. W. M. (2012). Harvesting social images for bi-concept search. IEEE Transactions on Multimedia, 14(4), 1091-1104. https://doi.org/10.1109/TMM.2012.2191943
  • Gavves, E., Snoek, C. G. M., & Smeulders, A. W. M. (2012). Visual synonyms for landmark image retrieval. Computer Vision and Image Understanding, 116(2), 238-249. https://doi.org/10.1016/j.cviu.2011.10.004
  • Vreeswijk, D. T. J., Snoek, C. G. M., van de Sande, K. E. A., & Smeulders, A. W. M. (2012). All vehicles are cars: subclass preferences in container concepts. In H. S. I. Horace (Ed.), ICMR '12: Proceedings of the 2nd ACM International Conference on Multimedia Retrieval (pp. 8). ACM. https://doi.org/10.1145/2324796.2324806
  • Open Access
    Uijlings, J. R. R., Smeulders, A. W. M., & Scha, R. J. H. (2012). The visual extent of an object: suppose we know the object locations. International Journal of Computer Vision, 96(1), 46-63. https://doi.org/10.1007/s11263-011-0443-1
  • 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
  • Open Access
    Yanulevskaya, V. O. (2012). Modelling human visual attention: from pixels to proto-objects. [Thesis, fully internal, Universiteit van Amsterdam].
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