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Results: 32
Number of items: 32
  • 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
    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
    Konstantakos, S., Cani, J., Mademlis, I., Chalkiadaki, D. I., Asano, Y. M., Gavves, E., & Papadopoulos, G. T. (2025). Self-supervised visual learning in the low-data regime: A comparative evaluation. Neurocomputing, 620, Article 129199. https://doi.org/10.1016/j.neucom.2024.129199
  • Open Access
    Salehi, S., Dorkenwald, M., Thoker, F. M., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2025). SIGMA: Sinkhorn-Guided Masked Video Modeling. 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. XXIV, pp. 293-312). (Lecture Notes in Computer Science; Vol. 15082). Springer. https://doi.org/10.1007/978-3-031-72691-0_17
  • Open Access
    Lippe, P. (2025). Learning causal representations in spatio-temporal systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    van den dool, W., Zhdanov, M., Asano, Y. M., & Welling, M. (2025). Adaptive Mesh-Quantization for Neural PDE Solvers. Transactions on Machine Learning Research, 2025, Article 5469. https://openreview.net/forum?id=NN17y897WG
  • Open Access
    Sträter, L. P. J., Salehidehnavi, S., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2025). GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features. 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, Part XXXVII (Vol. XXXVII, pp. 448-465). (Lecture Notes in Computer Science; Vol. 15059). Springer. https://doi.org/10.1007/978-3-031-72913-3_25
  • Open Access
    Najdenkoska, I. (2025). Learning from context with multimodal foundation models. [Thesis, fully internal, Universiteit van Amsterdam].
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