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Results: 37
Number of items: 37
  • Open Access
    Ülger, O. (2026). Visual understanding of dynamic scenes using object relationships and open vocabularies. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Nguyen, D. K. (2026). On inductive biases in vision transformers. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Wei, W. (2026). Representation learning for sparse point cloud perception. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Wei, W., Nejadasl, F. K., Gevers, T., & Oswald, M. R. (2025). T-MAE : Temporal Masked Autoencoders for Point Cloud Representation Learning. 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. XI, pp. 178–195). (Lecture Notes in Computer Science; Vol. 15069). Springer. https://doi.org/10.1007/978-3-031-73247-8_11
  • Open Access
    Bhowmik, A., Mettes, P., Oswald, M. R., & Snoek, C. G. M. (2025). Union-over-Intersections: Object Detection beyond Winner-Takes-All. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=HqLHY4TzGj
  • Open Access
    Nguyen, D.-K., Assran, M., Jain, U., Oswald, M. R., Snoek, C. G. M., & Chen, X. (2025). An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=tjNf0L8QjR
  • 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
    Nguyen, D.-K., Oswald, M. R., & Snoek, C. G. M. (2025). SimPLR: A Simple and Plain Transformer for Scaling-Efficient Object Detection and Segmentation. Transactions on Machine Learning Research, 2025, Article 3114. https://doi.org/10.48550/arXiv.2310.05920
  • Open Access
    Liso, L., Sandström, E., Yugay, V., Van Gool, L., & Oswald, M. R. (2024). Loopy-SLAM: Dense Neural SLAM with Loop Closures. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition: CVPR 2024 : Seattle, Washington, USA, 16-22 June 2024 : proceedings (pp. 20363–20373). IEEE Computer Society. https://doi.org/10.1109/cvpr52733.2024.01925
  • Open Access
    Millan-Romera, J. A., Bavle, H., Shaheer, M., Oswald, M. R., Voos, H., & Sanchez-Lopez, J. L. (2024). Learning High-level Semantic-Relational Concepts for SLAM. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems: IROS'24, Abu Dhabi, 14-18 October 2024 (pp. 9803-9810). IEEE. https://doi.org/10.1109/IROS58592.2024.10801511
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