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Results: 308
Number of items: 308
  • Open Access
    Yin, R. (2026). Learning-based methods for 3D reconstruction of indoor scenes. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Ülger, O. (2026). Visual understanding of dynamic scenes using object relationships and open vocabularies. [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
    Öcal, B. M., Tatarchenko, M., Karaoğlu, S., & Gevers, T. (2025). SceneTeller: Language-to-3D Scene Generation. In A. Leonardis, E. Ricci, S. Stefan, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024 : proceedings (Vol. LXXXV, pp. 362–378). (Lecture Notes in Computer Science; Vol. 15143). Springer. https://doi.org/10.1007/978-3-031-73013-9_21
  • Open Access
    Zhang, Y., You, S., Karaoglu, S., & Gevers, T. (2025). 3D human pose estimation and action recognition using fisheye cameras: A survey and benchmark. Pattern Recognition, 162, Article 111334. https://doi.org/10.1016/j.patcog.2024.111334
  • Open Access
    Yin, R., Chen, Y., Karaoglu, S., & Gevers, T. (2025). Ray-Distance Volume Rendering for Neural Scene Reconstruction. 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. XIV, pp. 377–394). (Lecture Notes in Computer Science; Vol. 15072). Springer. https://doi.org/10.1007/978-3-031-72630-9_22
  • 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
    Bi, Q. (2025). Outdoor scene understanding under adverse weather conditions. [Thesis, fully internal, Universiteit van Amsterdam].
  • Baslamisli, A., Liu, Y., Karaoglu, S., & Gevers, T. (2024). ShapeNet Intrinsic Images v2.0 Extended [Data set]. Harvard Dataverse. https://doi.org/10.7910/dvn/1xmmbz
  • Open Access
    Groenendijk, R., Dorst, L., & Gevers, T. (2024). HaarNet: Large-Scale Linear-Morphological Hybrid Network for RGB-D Semantic Segmentation. In S. Brunetti, A. Frosini, & S. Rinaldi (Eds.), Discrete Geometry and Mathematical Morphology: Third International Joint Conference, DGMM 2024, Florence, Italy, April 15–18, 2024 : proceedings (pp. 242–254). (Lecture Notes in Computer Science; Vol. 14605). Springer. https://doi.org/10.1007/978-3-031-57793-2_19
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