Search results
Results: 110
Number of items: 110
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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 -
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 -
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 -
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 -
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 -
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 -
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 -
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
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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
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