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Results: 297
Number of items: 297
  • Open Access
    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
  • Open Access
    Dong, J., Li, X., & Snoek, C. G. M. (2018). Predicting Visual Features from Text for Image and Video Caption Retrieval. IEEE Transactions on Multimedia, 20(12), 3377-3388. https://doi.org/10.1109/TMM.2018.2832602
  • Open Access
    Migut, G., Koelma, D., Snoek, C. G. M., & Brouwer, N. (2018). Cheat me not: automated proctoring of digital exams on Bring-Your-Own-Device. In I. Polycarpou, J. C. Read, P. Andreou, & M. Armoni (Eds.), ITiCSE'18: proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education : July 2-4, 2018, Larnaca, Cyprus (pp. 388). The Association for Computing Machinery. https://doi.org/10.1145/3197091.3205813
  • Open Access
    Cappallo, S. H. (2018). Predicting visual trends. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Jacobsen, J. H. (2018). Structured convolutional networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Cappallo, S. H., Svetlichnaya, S., Garrigues, P., Mensink, T., & Snoek, C. (2018, February 28). Twemoji Dataset [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.5822100.v3
  • Open Access
    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
  • Open Access
    Mettes, P., & Snoek, C. G. M. (2017). Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions. In 2017 IEEE International Conference on Computer Vision : ICCV 2017: proceedings : 22-29 October 2017, Venice, Italy (pp. 4453-4462). IEEE Computer Society. https://doi.org/10.1109/ICCV.2017.476
  • Open Access
    Mettes, P., Snoek, C. G. M., & Chang, S.-F. (2017). Localizing Actions from Video Labels and Pseudo-Annotations. In T. K. Kim, S. Zafeiriou, G. Brostow, & K. Mikolajczyk (Eds.), Proceedings of the British Machine Vision Conference 2017 Article 22 BMVA Press. https://doi.org/10.5244/C.31.22
  • Open Access
    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
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