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Results: 111
Number of items: 111
  • Open Access
    Chen, Y. (2023). Continuity in 3D visual learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Salehi, M., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2023). Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 16490-16501). IEEE Computer Society. https://doi.org/10.1109/ICCV51070.2023.01516, https://doi.org/10.48550/arXiv.2308.11796
  • Open Access
    Liu, Y., Magliacane, S., Kofinas, M., & Gavves, E. (2023). Graph switching dynamical systems. Proceedings of Machine Learning Research, 202, 21867-21883. https://proceedings.mlr.press/v202/liu23z.html
  • Open Access
    Wang, H., Yan, C., Wang, S., Jiang, X., Tang, X., Hu, Y., Xie, W., & Gavves, E. (2023). Towards Open-Vocabulary Video Instance Segmentation. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 4034-4043). IEEE Computer Society. https://doi.org/10.48550/arXiv.2304.01715, https://doi.org/10.1109/ICCV51070.2023.00375
  • Open Access
    Zoetmulder, R. (2023). Deep-learning-based image segmentation for uncommon ischemic stroke: From infants to adults. [Thesis, fully internal, Universiteit van Amsterdam].
  • Schirris, Y., Engelaer, M., Panteli, A., Horlings, H. M., Gavves, E., & Teuwen, J. (2022). WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need. In J. E. Tomaszewski, A. D. Ward, & R. M. Levenson (Eds.), Medical Imaging 2022: Digital and Computational Pathology: 21-27 March 2022, online Article 120390B (Proceedings of SPIE; Vol. 12039), (Progress in Biomedical Optics and Imaging; Vol. 23, No. 55). SPIE. https://doi.org/10.1117/12.2611528
  • Habibian, A., Ben Yahia, H., Abati, D., Gavves, E., & Porikli, F. (2022). Delta Distillation for Efficient Video Processing. 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. XXXV, pp. 213-229). (Lecture Notes in Computer Science; Vol. 13695). Springer. https://doi.org/10.1007/978-3-031-19833-5_13
  • 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
  • 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
    Gavves, E., Kofinas, M., & Nagaraja, N. (2022). Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), 35th Conference on Neural Information Processing Systems (NeurIPS 2021) : online, 6-14 December 2021 (Vol. 8, pp. 6417-6429). (Advances in Neural Information Processing Systems; Vol. 34). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2021/hash/32b991e5d77ad140559ffb95522992d0-Abstract.html
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