Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 114
Number of items: 114
  • Hussein, N., Gavves, E., & Smeulders, A. W. M. (2019). Timeception for Complex Action Recognition. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 16-20 June 2019, Long Beach, California (pp. 254-263). (CVPR). IEEE Computer Society. https://doi.org/10.1109/CVPR.2019.00034
  • Shkodrani, S., Hofmann, M., & Gavves, E. (2019). Dynamic Adaptation on Non-Stationary Visual Domains. In L. Leal-Taixé, & S. Roth (Eds.), Computer Vision – ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018 : proceedings (Vol. II, pp. 158-171). (Lecture Notes in Computer Science; Vol. 11130). Springer. https://doi.org/10.1007/978-3-030-11012-3_12
  • Samson, L., van Noord, N., Booij, O., Hofmann, M., Gavves, E., & Ghafoorian, M. (2019). I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 951-960). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00124
  • Open Access
    Chen, Y., Mensink, T., & Gavves, E. (2019). 3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. In 2019 International Conference on 3D Vision: 3DV 2019 : proceedings : Quebec, Canada, 15-18 September 2019 (pp. 173-182). IEEE Computer Society, Conference Publishing Services. https://doi.org/10.48550/arXiv.1910.01460, https://doi.org/10.1109/3DV.2019.00028
  • Open Access
    O'Connor, P., Gavves, E., & Welling, M. (2019). Initialized Equilibrium Propagation for Backprop-Free Training. In ICLR 2019: International Conference on Learning Representations : New Orleans, Louisiana, United States, May 6-May 9, 2019 OpenReview. https://openreview.net/forum?id=B1GMDsR5tm
  • Open Access
    O'Connor, P., Gavves, E., & Welling, M. (2019). Training a Spiking Neural Network with Equilibrium Propagation. Proceedings of Machine Learning Research, 89, 1516-1523. http://proceedings.mlr.press/v89/o-connor19a.html
  • Open Access
    Louizos, C., Reisser, M., Blankevoort, T., Gavves, E., & Welling, M. (2019). Relaxed Quantization for Discretized Neural Networks. In ICLR 2019: International Conference on Learning Representations : New Orleans, Louisiana, United States, May 6-May 9, 2019 OpenReview. https://openreview.net/forum?id=HkxjYoCqKX
  • Open Access
    van der Heiden, T., Nagaraja, N. S., Weiß, C., & Gavves, E. (2019). SafeCritic: Collision-Aware Trajectory Prediction. ArXiv. https://doi.org/10.48550/arXiv.1910.06673
  • Open Access
    Liao, S., Gavves, E., & Snoek, C. G. M. (2019). Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 16-20 June 2019, Long Beach, California (pp. 9751-9759). (CVPR). IEEE Computer Society. https://doi.org/10.48550/arXiv.1904.05404, https://doi.org/10.1109/CVPR.2019.00999
  • Open Access
    Gupta, D. K., de Bruijn, N., Panteli, A., & Gavves, E. (2019). Tracking-Assisted Segmentation of Biological Cells. Paper presented at Medical Imaging meets NeurIPS workshop 2019, Vancouver, British Columbia, Canada.
Page 8 of 12