Search results
Results: 293
Number of items: 293
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Liao, S., Gavves, E., & Snoek, C. G. M. (2018). Searching and Matching Texture-free 3D Shapes in Images. In ICMR'18: proceedings of the 2018 ACM International Conference on Multimedia Retrieval : June 11-14, 2018, Yokohama, Japan (pp. 326-334). The Association for Computing Machinery. https://doi.org/10.1145/3206025.3206057 -
Li, X., Uricchio, T., Ballan, L., Bertini, M., Snoek, C. G. M., & Del Bimbo, A. (2017). Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval. ACM Computing Surveys, 49(1), Article 14. https://doi.org/10.1145/2906152 -
Jain, M., van Gemert, J., Jégou, H., Bouthemy, P., & Snoek, C. G. M. (2017). Tubelets: Unsupervised Action Proposals from Spatiotemporal Super-Voxels. International Journal of Computer Vision, 124(3), 287-311. https://doi.org/10.1007/s11263-017-1023-9 -
Mensink, T., Jongstra, T., Mettes, P., & Snoek, C. G. M. (2017). Music-Guided Video Summarization using Quadratic Assignments. In ICMR '17: proceedings of the 2017 ACM International Conference on Multimedia Retrieval : June 6-9, 2017, Bucharest, Romania (pp. 58-64). The Association for Computing Machinery. https://doi.org/10.1145/3078971.3079024 -
Habibian, A., Mensink, T., & Snoek, C. G. M. (2017). Video2vec Embeddings Recognize Events when Examples are Scarce. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(10), 2089-2103. https://doi.org/10.1109/TPAMI.2016.2627563 -
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 -
Cappallo, S., & Snoek, C. G. M. (2017). Future-Supervised Retrieval of Unseen Queries for Live Video. In MM'17: proceedings of the 2017 ACM Multimedia Conference : October 23-27, 2017, Mountain View, CA, USA (pp. 28-36). Association for Computing Machinery. https://doi.org/10.1145/3123266.3123437
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