Johan Edstedt

Johan Edstedt,  Less Biased Noise Scale Estimation for Threshold-Robust RANSAC (2025)  https://doi.org/10.48550/arXiv.2503.13433  https://arxiv.org/abs/2503.13433

Johan Edstedt,  Towards the Next Generation of 3D Reconstruction, Linköping Studies in Science and Technology. Dissertations 2464, Linköping University Electronic Press, Linköping (2025)  https://doi.org/10.3384/9789181181906

Johan Edstedt, André Mateus, Alberto Jaenal,  ColabSfM: Collaborative Structure-from-Motion by Point Cloud Registration, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6573-6583 (2025)

Johan Edstedt, Georg Bökman, Mårten Wadenbäck, Michael Felsberg,  DaD: Distilled Reinforcement Learning for Diverse Keypoint Detection (2025)  https://doi.org/10.48550/arXiv.2503.07347  https://arxiv.org/abs/2503.07347

Ludvig Dillen, Per-Erik Forssén, Johan Edstedt,  FACT: Multinomial Misalignment Classification for Point Cloud Registration, IMAGE ANALYSIS, SCIA 2025, PT I, Lecture Notes in Computer Science, pp. 324-337, SPRINGER INTERNATIONAL PUBLISHING AG (2025)  https://doi.org/10.1007/978-3-031-95911-0_23