Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 516
Number of items: 516
  • Open Access
    Jacobsen, J. H. (2018). Structured convolutional networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Cappallo, S. H. (2018). Predicting visual trends. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Pintea, S. L., van Gemert, J. C., & Smeulders, A. W. M. (2018). Asymmetric kernel in Gaussian Processes for learning target variance. Pattern Recognition Letters, 108, 70-77. https://doi.org/10.1016/j.patrec.2018.02.026
  • Open Access
    Runia, T. F. H., Snoek, C. G. M., & Smeulders, A. W. M. (2018). Primitive Motion Types for Learning from Instructional Video. In FIVER @ CVPR 2018: abstracts CVPR 2018.
  • Open Access
    Runia, T. F. H., Snoek, C. G. M., & Smeulders, A. W. M. (2018). Real-World Repetition Estimation by Div, Grad and Curl. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 18-22 June 2018, Salt Lake City, Utah (pp. 9009-9017). IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00939
  • Open Access
    Kicanaoglu, B., Tao, R., & Smeulders, A. W. M. (2018). Estimating small differences in car-pose from orbits. In British Machine Vision Conference 2018: BMVC 2018, Newcastle, UK, September 3-6, 2018 Article 60 BMVA Press.
  • Karaoglu, S., Liu, Y., Gevers, T., & Smeulders, A. W. M. (2017). Point Light Source Position Estimation From RGB-D Images by Learning Surface Attributes. IEEE Transactions on Image Processing, 26(11), 5149-5159 . https://doi.org/10.1109/TIP.2017.2731619
  • Manfredi, M., Grana, C., Cucchiara, R., & Smeulders, A. W. M. (2017). Segmentation models diversity for object proposals. Computer Vision and Image Understanding, 158, 40-48. https://doi.org/10.1016/j.cviu.2016.06.005
  • Open Access
    Hussein, N., Gavves, E., & Smeulders, A. W. M. (2017). Unified Embedding and Metric Learning for Zero-Exemplar Event Detection. In 30th IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2017 : 21-26 July 2016, Honolulu, Hawaii : proceedings (pp. 2087-2096). IEEE. https://doi.org/10.1109/CVPR.2017.225
  • Open Access
    Li, Z. (2017). Exploring locality for visual recognition. [Thesis, fully internal, Universiteit van Amsterdam].
Page 4 of 52