Johan Edstedt

PhD student

Publication list

Conference papers

2025

Georg Bokman, Johan Edstedt, Michael Felsberg, Fredrik Kahl,  Affine Steerers for Structured Keypoint Description, COMPUTER VISION - ECCV 2024, PT LXXXVI, Lecture Notes in Computer Science, pp. 449-468, SPRINGER INTERNATIONAL PUBLISHING AG (2025)  https://doi.org/10.1007/978-3-031-73016-0_26

2024

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

Johan Edstedt, Georg Bökman, Mårten Wadenbäck, Michael Felsberg,  DeDoDe: Detect, Don’t Describe — Describe, Don’t Detect for Local Feature Matching, 2024 International Conference on 3D Vision (3DV), 2024 International Conference on 3D Vision (3DV), Institute of Electrical and Electronics Engineers (IEEE) (2024)  https://doi.org/10.1109/3dv62453.2024.00035  https://arxiv.org/abs/2308.08479

Johan Edstedt, Qiyu Sun, Georg Bökman, Mårten Wadenbäck, Michael Felsberg,  RoMa: Robust Dense Feature Matching, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Conference on Computer Vision and Pattern Recognition (CVPR), pp. 19790-19800, Institute of Electrical and Electronics Engineers (IEEE) (2024)  https://doi.org/10.1109/CVPR52733.2024.01871  https://arxiv.org/abs/2305.15404

Georg Bokman, Johan Edstedt, Michael Felsberg, Fredrik Kahl,  Steerers: A framework for rotation equivariant keypoint descriptors, 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2024, IEEE Conference on Computer Vision and Pattern Recognition, pp. 4885-4895, IEEE COMPUTER SOC (2024)  https://doi.org/10.1109/CVPR52733.2024.00467

Jialin Gao, Bill Ong, Darld Lwi, Zhen Hao Ng, Xun Wei Yee, Mun-Thye Mak, Wee Siong Ng, See-Kiong Ng, Hui Ying Teo, Victor Khoo, Georg Bokman, Johan Edstedt, Kirill Brodt, Clementin Boittiaux, Maxime Ferrera, Stepan Konev,  From 2D to 3D: AISG-SLA Visual Localization Challenge, PROCEEDINGS OF THE THIRTY-THIRD INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2024, pp. 8661-8664, IJCAI-INT JOINT CONF ARTIF INTELL (2024)

Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu,  Leveraging the Power of Data Augmentation for Transformer-based Tracking, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE Winter Conference on Applications of Computer Vision, pp. 6455-6464, Institute of Electrical and Electronics Engineers (IEEE) (2024)  https://doi.org/10.1109/wacv57701.2024.00634

2023

Johan Edstedt, Ioannis Athanasiadis, Mårten Wadenbäck, Michael Felsberg,  DKM: Dense Kernelized Feature Matching for Geometry Estimation, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Proceedings:IEEE Conference on Computer Vision and Pattern Recognition, pp. 17765-17775, IEEE Communications Society (2023)  https://doi.org/10.1109/cvpr52729.2023.01704  https://arxiv.org/abs/2202.00667

Emil Brissman, Per-Erik Forssén, Johan Edstedt,  Camera Calibration Without Camera Access - A Robust Validation Technique for Extended PnP Methods, , Gade, R., Felsberg, M., Kämäräinen, JK (eds.), Lecture Notes in Computer Science, pp. 34-49 (2023)  https://doi.org/10.1007/978-3-031-31435-3_3

Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg,  GMSF: Global Matching Scene Flow, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), Advances in Neural Information Processing Systems, NEURAL INFORMATION PROCESSING SYSTEMS (NIPS) (2023)

2022

Johan Edstedt, Amanda Berg, Michael Felsberg, Johan Karlsson, Francisca Benavente, Anette Novak, Gustav Grund Pihlgren,  VidHarm: A Clip Based Dataset for Harmful Content Detection, 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), International Conference on Pattern Recognition, pp. 1543-1549, IEEE (2022)  https://doi.org/10.1109/ICPR56361.2022.9956148

Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Khan, Martin Danelljan,  Dense Gaussian Processes for Few-Shot Segmentation, COMPUTER VISION, ECCV 2022, PT XXIX, Lecture Notes in Computer Science, pp. 217-234, SPRINGER INTERNATIONAL PUBLISHING AG (2022)  https://doi.org/10.1007/978-3-031-19818-2_13