Frederik Hagelskjær

29 papers A 2B 2Journal 13Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A novel network for classification of cuneiform tablet metadata.
CoRR
Frederik Hagelskjær
2026 J jnl
Estimation of Confidence Bounds in Binary Classification using Wilson Score Kernel Density Estimation.
CoRR
Thorbjørn Mosekjær Iversen, Zebin Duan, Frederik Hagelskjær
2025 — conf
Good Grasps Only: A data engine for self-supervised fine-tuning of pose estimation using grasp poses for verification.
SII
Frederik Hagelskjær
2025 J jnl
Object Pose Distribution Estimation for Determining Revolution and Reflection Uncertainty in Point Clouds.
CoRR
Frederik Hagelskjær, Dimitrios Arapis, Steffen Madsen, Thorbjørn Mosekjær Iversen
2025 — conf
Towards High Precision: An Adaptive Self-Supervised Learning Framework for Force-Based Verification.
CASE
Zebin Duan, Frederik Hagelskjær, Aljaz Kramberger, Juan Heredia, Norbert Krüger
2025 J jnl
Towards High Precision: An Adaptive Self-Supervised Learning Framework for Force-Based Verification.
CoRR
Zebin Duan, Frederik Hagelskjær, Aljaz Kramberger, Juan Heredia, Norbert Krüger
2024 J jnl
Good Grasps Only: A data engine for self-supervised fine-tuning of pose estimation using grasp poses for verification.
CoRR
Frederik Hagelskjær
2024 — conf
KeyMatchNet: Zero-Shot Pose Estimation in 3D Point Clouds by Generalized Keypoint Matching.
CASE
Frederik Hagelskjær, Rasmus Laurvig Haugaard
2024 — conf
Off-the-Shelf Bin Picking Workcell with Visual Pose Estimation: A Case Study on the World Robot Summit 2018 Kitting Task.
UR
Frederik Hagelskjær, Kasper Høj Lorenzen, Dirk Kraft
2023 J jnl
GP3D: Generalized Pose Estimation in 3D Point Clouds: A case study on bin picking.
CoRR
Frederik Hagelskjær
2023 J jnl
Off-the-shelf bin picking workcell with visual pose estimation: A case study on the world robot summit 2018 kitting task.
CoRR
Frederik Hagelskjær, Kasper Høj Lorenzen, Dirk Kraft
2023 J jnl
SpyroPose: Importance Sampling Pyramids for Object Pose Distribution Estimation in SE(3).
CoRR
Rasmus Laurvig Haugaard, Frederik Hagelskjær, Thorbjørn Mosekjær Iversen
2023 — conf
SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation.
ICCV (Workshops)
Rasmus Laurvig Haugaard, Frederik Hagelskjær, Thorbjørn Mosekjær Iversen
2022 B conf
Deep Learning Classification of Large-Scale Point Clouds: A Case Study on Cuneiform Tablets.
ICIP
Frederik Hagelskjær
2022 — conf
In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components.
CASE
Frederik Hagelskjær, Dirk Kraft
2022 J jnl
In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components.
CoRR
Frederik Hagelskjær, Dirk Kraft
2022 A conf
ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data.
IROS
Frederik Hagelskjær, Anders Glent Buch
2022 J jnl
ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data.
CoRR
Frederik Hagelskjær, Anders Glent Buch
2021 — conf
Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization.
ICCVW
Frederik Hagelskjær, Anders Glent Buch
2020 J jnl
Bridging the Performance Gap Between Pose Estimation Networks Trained on Real And Synthetic Data Using Domain Randomization.
CoRR
Frederik Hagelskjær, Anders Glent Buch
2020 B conf
Pointvotenet: Accurate Object Detection And 6 DOF Pose Estimation In Point Clouds.
ICIP
Frederik Hagelskjær, Anders Glent Buch
2020 J jnl
Towards robot cell matrices for agile production - SDU Robotics' assembly cell at the WRC 2018.
Adv. Robotics
Christian Schlette, Anders Glent Buch, Frederik Hagelskjær, Iñigo Iturrate, Dirk Kraft, Aljaz Kramberger, Anders P. Lindvig, Simon Mathiesen, Henrik Gordon Petersen, Mads Høj Rasmussen, Thiusius R. Savarimuthu, Christoffer Sloth, Lars Carøe Sørensen, Thomas Nicky Thulesen
2019 — conf
Bayesian Optimization of 3D Feature Parameters for 6D Pose Estimation.
VISIGRAPP (5: VISAPP)
Frederik Hagelskjær, Norbert Krüger, Anders Glent Buch
2019 A conf
Combined Optimization of Gripper Finger Design and Pose Estimation Processes for Advanced Industrial Assembly.
IROS
Frederik Hagelskjær, Aljaz Kramberger, Adam Wolniakowski, Thiusius Rajeeth Savarimuthu, Norbert Krüger
2019 J jnl
PointPoseNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds.
CoRR
Frederik Hagelskjær, Anders Glent Buch
2019 — conf
Using spatial constraints for fast set-up of precise pose estimation in an industrial setting.
CASE
Frederik Hagelskjær, Thiusius Rajeeth Savarimuthu, Norbert Krüger, Anders Glent Buch
2018 — conf
Does Vision Work Well Enough for Industry?
VISIGRAPP (4: VISAPP)
Frederik Hagelskjær, Anders Glent Buch, Norbert Krüger
2017 — conf
A Novel 2.5D Feature Descriptor Compensating for Depth Rotation.
VISIGRAPP (4: VISAPP)
Frederik Hagelskjær, Norbert Krüger, Anders Glent Buch
2016 — conf
Optimizing grippers for compensating pose uncertainties by dynamic simulation.
SIMPAR
Adam Wolniakowski, Aljaz Kramberger, Andrej Gams, Dimitrios Chrysostomou, Frederik Hagelskjær, Thomas Nicky Thulesen, Lilita Kiforenko, Anders Glent Buch, Leon Bodenhagen, Henrik Gordon Petersen, Ole Madsen, Ales Ude, Norbert Krüger