Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 130
Number of items: 130
  • Open Access
    Wang, H. (2026). Towards open-world video understanding and reasoning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Wessels, D. R., Knigge, D. M., Valperga, R., Papa, S., Vadgama, S., Gavves, E., & Bekkers, E. J. (2025). Grounding Continuous Representations in Geometry: Equivariant Neural Fields. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://doi.org/10.48550/arXiv.2406.05753
  • Open Access
    Spartalis, C. N., Semertzidis, T., Gavves, E., & Daras, P. (2025). LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty. In 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition : CVPR 2025: Nashville, Tennessee, USA, 11-15 June 2025 : proceedings (pp. 10046-10055). IEEE Computer Society. https://doi.org/10.48550/arXiv.2503.18314, https://doi.org/10.1109/CVPR52734.2025.00939
  • Open Access
    Liu, J., Shen, J., Zhou, P., Sonke, J.-J., & Gavves, E. (2025). Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation. In 2025 IEEE/CVF International Conference on Computer Vision: ICCV 2025 : Honolulu, Hawaii, USA, 19-23 October 2025 : proceedings (pp. 21155-21165). IEEE Computer Society. https://doi.org/10.48550/arXiv.2506.22979, https://doi.org/10.1109/ICCV51701.2025.01965
  • Open Access
    Gkountouras, J., Lindemann, M., Lippe, P., Gavves, E., & Titov, I. (2025). Language Agents Meet Causality -- Bridging LLMs and Causal World Models. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=y9A2TpaGsE
  • Open Access
    Liu, J., Zhou, P., Xiao, Z., Shen, J., Yin, W., Sonke, J.-J., & Gavves, E. (2025). Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes. Proceedings of Machine Learning Research, 267, 40194-40213. https://openreview.net/forum?id=6qNbVtKGY2
  • Open Access
    Barcellona, L., Zadaianchuk, A., Allegro, D., Papa, S., Ghidoni, S., & Gavves, E. (2025). Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=3RSLW9YSgk
  • Open Access
    Didolkar, A., Zadaianchuk, A., Awal, R., Seitzer, M., Gavves, E., & Agrawal, A. (2025). CTRL-O: Language-Controllable Object-Centric Visual Representation Learning. In 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition : CVPR 2025: Nashville, Tennessee, USA, 11-15 June 2025 : proceedings (pp. 29523-29533). IEEE Computer Society. https://doi.org/10.1109/CVPR52734.2025.02749
  • 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
    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
Page 1 of 13