Johan Edstedt
Doktorand
Publikationslista
Konferensartiklar
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
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), pp. 6455-6464, Institute of Electrical and Electronics Engineers (IEEE) (2024) https://doi.org/10.1109/wacv57701.2024.00634
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)
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