Deep Gaussian Processes for Few-Shot Segmentation. - Joakim Johnander; Johan Edstedt; Martin Danelljan; Michael Felsberg; Fahad Shahbaz Khan (CoRR, 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)

Dense Gaussian Processes for Few-Shot Segmentation. - Joakim Johnander; Johan Edstedt; Michael Felsberg; Fahad Shahbaz Khan; Martin Danelljan (ECCV (29), 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 (ICPR, 2022)

Deep Kernelized Dense Geometric Matching. - Johan Edstedt; Mårten Wadenbäck; Michael Felsberg (CoRR, 2022)

DKM: Dense Kernelized Feature Matching for Geometry Estimation. - Johan Edstedt; Ioannis Athanasiadis; Mårten Wadenbäck; Michael Felsberg (CVPR, 2023)

GMSF: Global Matching Scene Flow. - Yushan Zhang; Johan Edstedt; Bastian Wandt; Per-Erik Forssén; Maria Magnusson; Michael Felsberg (NeurIPS, 2023)

Camera Calibration Without Camera Access - A Robust Validation Technique for Extended PnP Methods. - Emil Brissman; Per-Erik Forssén; Johan Edstedt (SCIA (1), 2023)

RoMa: Revisiting Robust Losses for Dense Feature Matching. - Johan Edstedt; Qiyu Sun; Georg Bökman; Mårten Wadenbäck; Michael Felsberg (CoRR, 2023)

Leveraging Cutting Edge Deep Learning Based Image Matching for Reconstructing a Large Scene from Sparse Images. - Georg Bökman; Johan Edstedt (CoRR, 2023)

DeDoDe: Detect, Don't Describe - Describe, Don't Detect for Local Feature Matching. - Johan Edstedt; Georg Bökman; Mårten Wadenbäck; Michael Felsberg (3DV, 2024)

Steerers: A Framework for Rotation Equivariant Keypoint Descriptors. - Georg Bökman; Johan Edstedt; Michael Felsberg; Fredrik Kahl (CVPR, 2024)

DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector. - Johan Edstedt; Georg Bökman; Zhenjun Zhao (CVPR Workshops, 2024)

RoMa: Robust Dense Feature Matching. - Johan Edstedt; Qiyu Sun; Georg Bökman; Mårten Wadenbäck; Michael Felsberg (CVPR, 2024)

Affine Steerers for Structured Keypoint Description. - Georg Bökman; Johan Edstedt; Michael Felsberg; Fredrik Kahl (ECCV (86), 2024)

From 2D to 3D: AISG-SLA Visual Localization Challenge. - 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; et al. (IJCAI, 2024)

Leveraging the Power of Data Augmentation for Transformer-based Tracking. - Jie Zhao 014; Johan Edstedt; Michael Felsberg; Dong Wang 004; Huchuan Lu (WACV, 2024)

ColabSfM: Collaborative Structure-from-Motion by Point Cloud Registration. - Johan Edstedt; André Mateus 001; Alberto Jaenal (CVPR, 2025)

Less Biased Noise Scale Estimation for Threshold-Robust RANSAC. - Johan Edstedt (CVPR Workshops, 2025)

FACT: Multinomial Misalignment Classification for Point Cloud Registration. - Ludvig Dillén; Per-Erik Forssén; Johan Edstedt (SCIA (1), 2025)

DaD: Distilled Reinforcement Learning for Diverse Keypoint Detection. - Johan Edstedt; Georg Bökman; Mårten Wadenbäck; Michael Felsberg (CoRR, 2025)

Stronger ViTs With Octic Equivariance. - David Nordström; Johan Edstedt; Fredrik Kahl; Georg Bökman (CoRR, 2025)