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Results: 318
Number of items: 318
  • 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
    Jacobsen, J. H. (2018). Structured convolutional networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Gavrilyuk, K., Ghodrati, A., Li, Z., & Snoek, C. G. M. (2018). Actor and Action Video Segmentation From a Sentence. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 18-22 June 2018, Salt Lake City, Utah (pp. 5958-5966). IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00624
  • Open Access
    Zhao, J., Liu, L., Snoek, C. G. M., Han, J., & Shao, L. (2018). Pixel-level Semantics Guided Image Colorization. In British Machine Vision Conference 2018: BMVC 2018, Newcastle, UK, September 3-6, 2018 Article 236 BMVA Press.
  • 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
    Cappallo, S. H. (2018). Predicting visual trends. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Li, Z., Gavrilyuk, K., Gavves, E., Jain, M., & Snoek, C. G. M. (2018). VideoLSTM Convolves, Attends and Flows for Action Recognition. Computer Vision and Image Understanding, 166, 41-50. https://doi.org/10.1016/j.cviu.2017.10.011
  • Open Access
    Mettes, P. S. M. (2017). Objects for spatio-temporal activity recognition in videos. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    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
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