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Results: 49
Number of items: 49
  • Open Access
    Derakhshani, M. M. (2026). On post-training artificial intelligence foundation models. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Romijnders, R. (2026). Learning from private data: Algorithms for decentralized and differentially private machine learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Nakamura, R., Tadokoro, R., Yamada, R., Asano, Y. M., Laina, I., Rupprecht, C., Inoue, N., Yokota, R., & Kataoka, H. (2025). Scaling Backwards: Minimal Synthetic Pre-training? In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024 : proceedings (Vol. XV, pp. 153–171). (Lecture Notes in Computer Science; Vol. 15073). Springer. https://doi.org/10.1007/978-3-031-72633-0_9
  • Kahatapitiya, K., Karjauv, A., Abati, D., Porikli, F., Asano, Y. M., & Habibian, A. (2025). Object-Centric Diffusion for Efficient Video Editing. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024 : proceedings (Vol. LVII, pp. 91–108). (Lecture Notes in Computer Science; Vol. 15155). Springer. https://doi.org/10.1007/978-3-031-72998-0_6
  • Open Access
    Pariza, V., Salehi, M., Burghouts, G., Locatello, F., & Asano, Y. M. (2025). Near, far: Patch-ordering enhances vision foundation models' scene understanding. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=Qro97zWC29
  • Open Access
    Rastegar, S., Salehi, M., Asano, Y. M., Doughty, H., & Snoek, C. G. M. (2025). SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024 : proceedings (Vol. LXX, pp. 440–458). (Lecture Notes in Computer Science; Vol. 15128). Springer. https://doi.org/10.1007/978-3-031-72897-6_25
  • Open Access
    Mishra, D., Salehi, M., Saha, P., Patey, O., Papageorghiou, A. T., Asano, Y. M., & Noble, J. A. (2025). Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation. In D. Belgrave, C. Zhang, H. Lin, R. Pascanu, P. Koniusz, M. Ghassemi, & N. Chen (Eds.), 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025): 2-7 December 2025, San Diego, California, USA and 30 November-5 December 2025, Mexico City, Mexico (pp. 68088-68113). (Advances in Neural Information Processing Systems; Vol. 38). Neural Information Processing Systems Foundation. https://doi.org/10.52202/085713-2045
  • Open Access
    Cores, D., Dorkenwald, M., Mucientes, M., Snoek, C. G. M., & Asano, Y. M. (2025). Lost in Time: A New Temporal Benchmark for VideoLLMs. In The 36th British Machine Vision Conference: BMVC 2025 : 24th-27th November 2025, Sheffield, UK Article 857 BMVA. https://bmvc2025.bmva.org/proceedings/857/
  • Open Access
    Simoncini, W., Gidaris, S., Bursuc, A., & Asano, Y. M. (2025). No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), 38th Conference on Neural Information Processing Systems (NeurIPS 2024): 10-15 December 2024, Vancouver, Canada (pp. 15386-15415). (Advances in Neural Information Processing Systems; Vol. 37). Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-0492
  • Open Access
    Salehi, M., Venkataramanan, S., Simion, I., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2025). MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning. In 2025 IEEE/CVF International Conference on Computer Vision: ICCV 2025 : Honolulu, Hawaii, USA, 19-23 October 2025 : proceedings (pp. 6541-6551). IEEE Computer Society. https://doi.org/10.48550/arXiv.2506.08694, https://doi.org/10.1109/ICCV51701.2025.00617
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