Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 114
Number of items: 114
  • Open Access
    Davidson, T. R., Tomczak, J. M., & Gavves, E. (2019). Increasing Expressivity of a Hyperspherical VAE. Paper presented at Bayesian Deep Learning Workshop, Vancouver, British Columbia, Canada. https://doi.org/10.48550/arXiv.1910.02912
  • Open Access
    Hussein, N., Gavves, E., & Smeulders, A. W. M. (2019). VideoGraph: Recognizing Minutes-Long Human Activities in Videos. Paper presented at 1st Workshop on Graph Based Learning in Computer Vision, Seoul, Korea, Republic of. https://arxiv.org/abs/1905.05143
  • Valmadre, J., Bertinetto, L., Henriques, J. F., Tao, R., Vedaldi, A., Smeulders, A. W. M., Torr, P. H. S., & Gavves, E. (2018). Long-Term Tracking in the Wild: A Benchmark. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018: proceedings (Vol. III, pp. 692-707). (Lecture Notes in Computer Science; Vol. 11207). Springer. https://doi.org/10.1007/978-3-030-01219-9_41
  • Bilen, H., Fernando, B., Gavves, E., & Vedaldi, A. (2018). Action recognition with dynamic image networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(12), 2799-2813. https://doi.org/10.1109/TPAMI.2017.2769085
  • Georgoulis, S., Rematas, K., Ritschel, T., Gavves, E., Fritz, M., Van Gool, L., & Tuytelaars, T. (2018). Reflectance and natural illumination from single-material specular objects using deep learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(8), 1932-1947. https://doi.org/10.1109/TPAMI.2017.2742999
  • 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
    Ghodrati, A., Gavves, E., & Snoek, C. G. M. (2018). Video Time: Properties, Encoders and Evaluation. In British Machine Vision Conference 2018: BMVC 2018, Newcastle, UK, September 3-6, 2018 Article 859 BMVA Press.
  • Open Access
    Scheepers, T., Kanoulas, E., & Gavves, E. (2018). Improving Word Embedding Compositionality using Lexicographic Definitions. In The Web Conference 2018: companion of the World Wide Web Conference WWW2018 : April 23-27, 2018, Lyon, France (pp. 1083-1093). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3178876.3186007
  • Open Access
    Oh, C., Gavves, E., & Welling, M. (2018). BOCK: Bayesian Optimization with Cylindrical Kernels. Proceedings of Machine Learning Research, 80, 3868-3877. http://proceedings.mlr.press/v80/oh18a.html
  • 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
Page 9 of 12