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Results: 37
Number of items: 37
  • Open Access
    Bhowmik, A., Wang, Y., Baka, N., Oswald, M. R., & Snoek, C. G. M. (2023). Detecting Objects with Context-Likelihood Graphs and Graph Refinement. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 6501-6510). IEEE Computer Society. https://doi.org/10.1109/ICCV51070.2023.00600
  • Open Access
    Sandström, E., Li, Y., Van Gool, L., & Oswald, M. R. (2023). Point-SLAM: Dense Neural Point Cloud-based SLAM. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 18387-18398). IEEE Computer Society. https://doi.org/10.1109/ICCV51070.2023.01690, https://doi.org/10.48550/arXiv.2304.04278
  • Open Access
    Ülger, O., Wang, Y., Galama, Y., Karaoglu, S., Gevers, T., & Oswald, M. R. (2023). Relational Prior Knowledge Graphs for Detection and Instance Segmentation. In 2023 IEEE/CVF International Conference on Computer Vision Workshops: proceedings: ICCVW 2023 : Paris, France, 2-6 October 2023 (pp. 53-61). IEEE Computer Society. https://doi.org/10.48550/arXiv.2310.07573, https://doi.org/10.1109/ICCVW60793.2023.00012
  • Open Access
    Pautrat, R., Barath, D., Larsson, V., Oswald, M. R., & Pollefeys, M. (2023). DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients. In CVPR 2023: proceedings: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition : Vancouver, Canada : 18-22 June 2023 (pp. 17327-17336). IEEE Computer Society. https://doi.org/10.48550/arXiv.2212.07766, https://doi.org/10.1109/CVPR52729.2023.01662
  • Open Access
    Ferrari, V., Oswald, M. R., Pollefeys, M., & Rozumnyi, D. (2022). Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), 35th Conference on Neural Information Processing Systems (NeurIPS 2021) : online, 6-14 December 2021 (Vol. 36, pp. 29972-29983). (Advances in Neural Information Processing Systems; Vol. 34). Neural Information Processing Systems Foundation. https://proceedings.neurips.cc/paper/2021/hash/fb60d411a5c5b72b2e7d3527cfc84fd0-Abstract.html
  • Menini, D., Kumar, S., Oswald, M. R., Sandstrom, E., Sminchisescu, C., & Van Gool, L. (2022). A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes. IEEE Robotics and Automation Letters, 7(2), 1332-1339. https://doi.org/10.1109/LRA.2021.3138539
  • Open Access
    Vetsch, M., Lombardi, S., Pollefeys, M., & Oswald, M. R. (2022). NeuralMeshing: Differentiable Meshing of Implicit Neural Representations. In B. Andres, F. Bernard, D. Cremers, S. Frintrop, B. Goldlücke, & I. Ihrke (Eds.), Pattern Recognition: 44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27–30, 2022 : proceedings (pp. 317-333). (Lecture Notes in Computer Science; Vol. 13485). Springer. https://doi.org/10.48550/arXiv.2210.02382, https://doi.org/10.1007/978-3-031-16788-1_20
  • Open Access
    Rozumnyi, D., Oswald, M. R., Ferrari, V., & Pollefeys, M. (2022). Motion-From-Blur: 3D Shape and Motion Estimation of Motion-Blurred Objects in Videos. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 15969-15978). (CVPR). IEEE Computer Society. https://doi.org/10.1109/CVPR52688.2022.01552
  • Open Access
    Elich, C., Oswald, M. R., Pollefeys, M., & Stueckler, J. (2022). Weakly supervised learning of multi-object 3D scene decompositions using deep shape priors. Computer Vision and Image Understanding, 220, Article 103440. https://doi.org/10.1016/j.cviu.2022.103440
  • Open Access
    Nguyen, D.-K., Yu, J., Booij, O., Oswald, M. R., & Snoek, C. G. M. (2022). BoxeR: Box-Attention for 2D and 3D Transformers. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 4763-4772). (CVPR). IEEE Computer Society. https://doi.org/10.48550/arXiv.2111.13087, https://doi.org/10.1109/CVPR52688.2022.00473
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