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Results: 3
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  • Open Access
    Yin, R. (2026). Learning-based methods for 3D reconstruction of indoor scenes. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
  • Yin, R., Karaoglu, S., & Gevers, T. (2022). Distortion-aware Depth Estimation with Gradient Priors from Panoramas of Indoor Scenes. In Proceedings : 2022 International Conference on 3D Vision: 3DV 2022 : Prague, Czechia, 12-15 September 2022 (pp. 134-143). IEEE Computer Society, Conference Publishing Services. https://doi.org/10.1109/3DV57658.2022.00026
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