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Johan Edstedt
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DKM: Dense Kernelized Feature Matching for Geometry Estimation
J Edstedt, I Athanasiadis, M Wadenbäck, M Felsberg
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2023
49*2023
Dense gaussian processes for few-shot segmentation
J Johnander, J Edstedt, M Felsberg, FS Khan, M Danelljan
European Conference on Computer Vision, 217-234, 2022
262022
RoMa: Robust Dense Feature Matching
J Edstedt, Q Sun, G Bökman, M Wadenbäck, M Felsberg
arXiv preprint arXiv:2305.15404, 2023
15*2023
DeDoDe: Detect, Don't Describe--Describe, Don't Detect for Local Feature Matching
J Edstedt, G Bökman, M Wadenbäck, M Felsberg
arXiv preprint arXiv:2308.08479, 2023
82023
Gmsf: Global matching scene flow
Y Zhang, J Edstedt, B Wandt, PE Forssén, M Magnusson, M Felsberg
Advances in Neural Information Processing Systems 36, 2024
52024
VidHarm: A Clip Based Dataset for Harmful Content Detection
J Edstedt, A Berg, M Felsberg, J Karlsson, F Benavente, A Novak, ...
2022 26th International Conference on Pattern Recognition (ICPR), 2022
5*2022
Steerers: A framework for rotation equivariant keypoint descriptors
G Bökman, J Edstedt, M Felsberg, F Kahl
arXiv preprint arXiv:2312.02152, 2023
12023
Camera Calibration Without Camera Access-A Robust Validation Technique for Extended PnP Methods
E Brissman, PE Forssén, J Edstedt
Scandinavian Conference on Image Analysis, 34-49, 2023
12023
DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector
J Edstedt, G Bökman, Z Zhao
arXiv preprint arXiv:2404.08928, 2024
2024
Leveraging the Power of Data Augmentation for Transformer-based Tracking
J Zhao, J Edstedt, M Felsberg, D Wang, H Lu
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2024
Leveraging Cutting Edge Deep Learning Based Image Matching for Reconstructing a Large Scene from Sparse Images
G Bökman, J Edstedt
arXiv preprint arXiv:2310.01092, 2023
2023
Towards Understanding Capsule Networks
J Edstedt
2020
Leveraging the Power of Data Augmentation for Transformer-based Tracking (Supplementary Material)
J Zhao, J Edstedt, M Felsberg, D Wang, H Lu
Supplementary Material for DKM: Dense Kernelized Feature Matching for Geometry Estimation
J Edstedt, I Athanasiadis, M Wadenbäck, M Felsberg
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