Photo of Johan Edstedt

Johan Edstedt

PhD student

Publications

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

Johan Edstedt, Georg Bokman, Zhenjun Zhao,  DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector, 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 4245-4253, IEEE COMPUTER SOC (2024)  https://doi.org/10.1109/CVPRW63382.2024.00428