Johan Edstedt

According to our database, Johan Edstedt authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Leveraging the Power of Data Augmentation for Transformer-based Tracking.

Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Steerers: A framework for rotation equivariant keypoint descriptors.

Georg Bökman, Johan Edstedt, Michael Felsberg, Fredrik Kahl

CoRR, 2023

Leveraging Cutting Edge Deep Learning Based Image Matching for Reconstructing a Large Scene from Sparse Images.

Georg Bökman, Johan Edstedt

CoRR, 2023

Leveraging the Power of Data Augmentation for Transformer-based Tracking.

Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu

CoRR, 2023

DeDoDe: Detect, Don't Describe - Describe, Don't Detect for Local Feature Matching.

Johan Edstedt, Georg Bökman, Mårten Wadenbäck, Michael Felsberg

CoRR, 2023

RoMa: Revisiting Robust Losses for Dense Feature Matching.

Johan Edstedt, Qiyu Sun, Georg Bökman, Mårten Wadenbäck, Michael Felsberg

CoRR, 2023

Camera Calibration Without Camera Access - A Robust Validation Technique for Extended PnP Methods.

Emil Brissman, Per-Erik Forssén, Johan Edstedt

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

GMSF: Global Matching Scene Flow.

Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DKM: Dense Kernelized Feature Matching for Geometry Estimation.

Johan Edstedt, Ioannis Athanasiadis, Mårten Wadenbäck, Michael Felsberg

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep Kernelized Dense Geometric Matching.

Johan Edstedt, Mårten Wadenbäck, Michael Felsberg

CoRR, 2022

VidHarm: A Clip Based Dataset for Harmful Content Detection.

Johan Edstedt, Amanda Berg, Michael Felsberg, Johan Karlsson, Francisca Benavente, Anette Novak, Gustav Grund Pihlgren

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Dense Gaussian Processes for Few-Shot Segmentation.

Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Is this Harmful? Learning to Predict Harmfulness Ratings from Video.

Johan Edstedt, Johan Karlsson, Francisca Benavente, Anette Novak, Amanda Berg, Michael Felsberg

CoRR, 2021

Deep Gaussian Processes for Few-Shot Segmentation.

Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan

CoRR, 2021