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Results: 39
Number of items: 39
  • 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
    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
    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
    Simoncini, W., Dorkenwald, M., Blankevoort, T., Snoek, C. G. M., & Asano, Y. M. (2025). Elastic ViTs from Pretrained Models without Retraining. 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. 27652-27682). (Advances in Neural Information Processing Systems; Vol. 38). Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2510.17700, https://doi.org/10.52202/085713-0824
  • 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
    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
  • 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
    Bhowmik, A., Derakhshani, M. M., Koelma, D., Asano, Y. M., Oswald, M. R., & Snoek, C. G. M. (2025). TWIST & SCOUT: Grounding Multimodal LLM-Experts by Forget-Free Tuning. In 2025 IEEE/CVF International Conference on Computer Vision: ICCV 2025 : Honolulu, Hawaii, USA, 19-23 October 2025 : proceedings (pp. 1359-1368). IEEE Computer Society. https://doi.org/10.48550/arXiv.2410.10491, https://doi.org/10.1109/ICCV51701.2025.00134
  • Open Access
    Salehidehnavi, M., Apostolikas, N., Gavves, E., Snoek, C. G. M., & Asano, Y. M. (2025). Redefining Normal: A Novel Object-Level Approach for Multi-object Novelty Detection. In M. Cho, I. Laptev, D. Tran, A. Yao, & H. Zha (Eds.), Computer Vision – ACCV 2024: 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8–12, 2024 : proceedings (Vol. VI, pp. 445-461). (Lecture Notes in Computer Science; Vol. 15477). Springer. https://doi.org/10.1007/978-981-96-0960-4_27
  • 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
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