Planar Motion and Hand-eye Calibration using Inter-image Homographies from a Planar Scene. - Mårten Wadenbäck; Anders Heyden (VISAPP (2), 2013)

Trajectory Estimation Using Relative Distances Extracted from Inter-image Homographies. - Mårten Wadenbäck; Anders Heyden (CRV, 2014)

Ego-motion Recovery and Robust Tilt Estimation for Planar Motion using Several Homographies. - Mårten Wadenbäck; Anders Heyden (VISAPP (3), 2014)

Recovering planar motion from homographies obtained using a 2.5-point solver for a polynomial system. - Mårten Wadenbäck; Kalle Åström; Anders Heyden (ICIP, 2016)

Visual Odometry from Two Point Correspondences and Initial Automatic Camera Tilt Calibration. - Mårten Wadenbäck; Martin Karlsson; Anders Heyden; Anders Robertsson; Rolf Johansson 001 (VISIGRAPP (6: VISAPP), 2017)

Homography-Based Positioning and Planar Motion Recovery. - Mårten Wadenbäck (2017)

Planar Motion Bundle Adjustment. - Marcus Valtonen Örnhag; Mårten Wadenbäck (ICPRAM, 2019)

Enforcing the General Planar Motion Model: Bundle Adjustment for Planar Scenes. - Marcus Valtonen Örnhag; Mårten Wadenbäck (ICPRAM (Revised Selected Papers), 2019)

Minimal Solvers for Indoor UAV Positioning. - Marcus Valtonen Örnhag; Patrik Persson; Mårten Wadenbäck; Kalle Åström; Anders Heyden (ICPR, 2020)

The equivalence of two definitions of compatible homography matrices. - Wojciech Chojnacki; Zygmunt L. Szpak; Mårten Wadenbäck (Pattern Recognit. Lett., 2020)

Embed Me If You Can: A Geometric Perceptron. - Pavlo Melnyk; Michael Felsberg; Mårten Wadenbäck (ICCV, 2021)

Efficient Real-Time Radial Distortion Correction for UAVs. - Marcus Valtonen Örnhag; Patrik Persson; Mårten Wadenbäck; Kalle Åström; Anders Heyden (WACV, 2021)

Fully Steerable 3D Spherical Neurons. - Pavlo Melnyk; Michael Felsberg; Mårten Wadenbäck (CoRR, 2021)

Trust Your IMU: Consequences of Ignoring the IMU Drift. - Marcus Valtonen Örnhag; Patrik Persson; Mårten Wadenbäck; Kalle Åström; Anders Heyden (CVPR Workshops, 2022)

Steerable 3D Spherical Neurons. - Pavlo Melnyk; Michael Felsberg; Mårten Wadenbäck (ICML, 2022)

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

TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Classification. - Pavlo Melnyk; Andreas Robinson; Mårten Wadenbäck; Michael Felsberg (CoRR, 2022)

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

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

Deep Equivariant Hyperspheres. - Pavlo Melnyk; Michael Felsberg; Mårten Wadenbäck; Andreas Robinson; Cuong Le 004 (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)

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

TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis. - Pavlo Melnyk; Andreas Robinson; Michael Felsberg; Mårten Wadenbäck (CVPR, 2024)

On Learning Deep O(n)-Equivariant Hyperspheres. - Pavlo Melnyk; Michael Felsberg; Mårten Wadenbäck; Andreas Robinson; Cuong Le 004 (ICML, 2024)

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