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Results: 130
Number of items: 130
  • Schirris, Y., Gavves, E., Nederlof, I., Horlings, H. M., & Teuwen, J. (2022). DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer. Medical Image Analysis, 79, Article 102464. https://doi.org/10.1016/j.media.2022.102464
  • Open Access
    Chen, Y., Fernando, B., Bilen, H., Nießner, M., & Gavves, E. (2022). 3D Equivariant Graph Implicit Functions. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, & T. Hassner (Eds.), Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022 : proceedings (Vol. III, pp. 485–502). (Lecture Notes in Computer Science; Vol. 13663). Springer. https://doi.org/10.48550/arXiv.2203.17178, https://doi.org/10.1007/978-3-031-20062-5_28
  • Wang, H., Liu, J., Liu, Y., Maji, S., Sonke, J.-J., & Gavves, E. (2022). Dynamic Transformer for Few-shot Instance Segmentation. In MM '22: proceedings of the 30th ACM International Conference on Multimedia : October 10-14, 2022, Lisboa, Portugal (pp. 2969–2977). The Association for Computing Machinery. https://doi.org/10.1145/3503161.3548227
  • Open Access
    Liu, J., Bao, Y., Xie, G.-S., Xiong, H., Sonke, J.-J., & Gavves, E. (2022). Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 11543-11552). (CVPR). IEEE Computer Society. https://doi.org/10.48550/arXiv.2204.10638, https://doi.org/10.1109/CVPR52688.2022.01126
  • Open Access
    Wang, H., Shen, J., Liu, Y., Gao, Y., & Gavves, E. (2022). NFormer: Robust Person Re-identification with Neighbor Transformer. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 7287-7297). (CVPR). IEEE Computer Society. https://doi.org/10.48550/arXiv.2204.09331, https://doi.org/10.1109/CVPR52688.2022.00715
  • Open Access
    Bereska, L., & Gavves, E. (2022). Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing. Proceedings of Machine Learning Research, 199, 335-350. https://doi.org/10.48550/arXiv.2206.13336
  • Kofinas, M., Nagaraja, N. S., & Gavves, S. (2021, December 9). 3D Charged Particles Dataset - Roto-translated Local Coordinate Frames for Interacting Dynamical Systems [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7500066
  • Open Access
    Hussein, N. M. E. (2021). Aspects of time for recognizing human activities. [Thesis, fully internal, Universiteit van Amsterdam].
  • Kilickaya, M., Hussein, N., Gavves, E., & Smeulders, A. (2021). Self-Selective Context for Interaction Recognition. In Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021 (pp. 2280-2287). IEEE. https://doi.org/10.1109/ICPR48806.2021.9413326
  • Open Access
    Gavves, E., Tao, R., Gupta, D. K., & Smeulders, A. W. M. (2021). Model Decay in Long-Term Tracking. In Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021 (pp. 2685-2692). IEEE. https://doi.org/10.1109/ICPR48806.2021.9412648
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