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ORCIDJohan Edstedt
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2020 – today
- 2024
[c12]Johan Edstedt, Georg Bökman, Mårten Wadenbäck, Michael Felsberg:
DeDoDe: Detect, Don't Describe - Describe, Don't Detect for Local Feature Matching. 3DV 2024: 148-157- [c11]Johan Edstedt, Georg Bökman, Zhenjun Zhao:
DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector. CVPR Workshops 2024: 4245-4253 - [c10]Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl:
Steerers: A Framework for Rotation Equivariant Keypoint Descriptors. CVPR 2024: 4885-4895 - [c9]Johan Edstedt, Qiyu Sun, Georg Bökman, Mårten Wadenbäck, Michael Felsberg:
RoMa: Robust Dense Feature Matching. CVPR 2024: 19790-19800 - [c8]Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl:
Affine Steerers for Structured Keypoint Description. ECCV (86) 2024: 449-468 - [c7]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 Bökman, Johan Edstedt, Kirill Brodt, Clémentin Boittiaux, Maxime Ferrera, Stepan Konev:
From 2D to 3D: AISG-SLA Visual Localization Challenge. IJCAI 2024: 8661-8664 - [c6]Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu:
Leveraging the Power of Data Augmentation for Transformer-based Tracking. WACV 2024: 6455-6464 - [i14]Johan Edstedt, Georg Bökman, Zhenjun Zhao:
DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector. CoRR abs/2404.08928 (2024) - [i13]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 Bökman, Johan Edstedt, Kirill Brodt, Clémentin Boittiaux, Maxime Ferrera, Stepan Konev:
From 2D to 3D: AISG-SLA Visual Localization Challenge. CoRR abs/2407.18590 (2024) - [i12]Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl:
Affine steerers for structured keypoint description. CoRR abs/2408.14186 (2024) - 2023
- [c5]Johan Edstedt, Ioannis Athanasiadis, Mårten Wadenbäck, Michael Felsberg:
DKM: Dense Kernelized Feature Matching for Geometry Estimation. CVPR 2023: 17765-17775 - [c4]Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg:
GMSF: Global Matching Scene Flow. NeurIPS 2023 - [c3]Emil Brissman
, Per-Erik Forssén, Johan Edstedt:
Camera Calibration Without Camera Access - A Robust Validation Technique for Extended PnP Methods. SCIA (1) 2023: 34-49 - [i11]Emil Brissman, Per-Erik Forssén, Johan Edstedt:
Camera Calibration without Camera Access - A Robust Validation Technique for Extended PnP Methods. CoRR abs/2302.06949 (2023) - [i10]Johan Edstedt, Qiyu Sun, Georg Bökman, Mårten Wadenbäck, Michael Felsberg:
RoMa: Revisiting Robust Losses for Dense Feature Matching. CoRR abs/2305.15404 (2023) - [i9]Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg:
GMSF: Global Matching Scene Flow. CoRR abs/2305.17432 (2023) - [i8]Johan Edstedt, Georg Bökman, Mårten Wadenbäck, Michael Felsberg:
DeDoDe: Detect, Don't Describe - Describe, Don't Detect for Local Feature Matching. CoRR abs/2308.08479 (2023) - [i7]Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu:
Leveraging the Power of Data Augmentation for Transformer-based Tracking. CoRR abs/2309.08264 (2023) - [i6]Georg Bökman, Johan Edstedt:
Leveraging Cutting Edge Deep Learning Based Image Matching for Reconstructing a Large Scene from Sparse Images. CoRR abs/2310.01092 (2023) - [i5]Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl:
Steerers: A framework for rotation equivariant keypoint descriptors. CoRR abs/2312.02152 (2023) - 2022
- [c2]Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan:
Dense Gaussian Processes for Few-Shot Segmentation. ECCV (29) 2022: 217-234 - [c1]Johan Edstedt, Amanda Berg, Michael Felsberg, Johan Karlsson, Francisca Benavente, Anette Novak, Gustav Grund Pihlgren:
VidHarm: A Clip Based Dataset for Harmful Content Detection. ICPR 2022: 1543-1549 - [i4]Johan Edstedt, Mårten Wadenbäck, Michael Felsberg:
Deep Kernelized Dense Geometric Matching. CoRR abs/2202.00667 (2022) - 2021
- [i3]Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan:
Deep Gaussian Processes for Few-Shot Segmentation. CoRR abs/2103.16549 (2021) - [i2]Johan Edstedt, Johan Karlsson, Francisca Benavente, Anette Novak, Amanda Berg, Michael Felsberg:
Is this Harmful? Learning to Predict Harmfulness Ratings from Video. CoRR abs/2106.08323 (2021) - [i1]Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan:
Dense Gaussian Processes for Few-Shot Segmentation. CoRR abs/2110.03674 (2021)
Coauthor Index
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