Frederik Hagelskjær

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Pose Estimation

Spatial Constraints

Monocular Images

Top Venues

VISIGRAPP (4: VISAPP)

Publications

Frederik Hagelskjær, Kasper Høj Lorenzen, Dirk Kraft
Off-the-Shelf Bin Picking Workcell with Visual Pose Estimation: A Case Study on the World Robot Summit 2018 Kitting Task. UR (2024)
Rasmus Laurvig Haugaard, Frederik Hagelskjær, Thorbjørn Mosekjær Iversen
SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation. ICCV (Workshops) (2023)
Rasmus Laurvig Haugaard, Frederik Hagelskjær, Thorbjørn Mosekjær Iversen
SpyroPose: Importance Sampling Pyramids for Object Pose Distribution Estimation in SE(3). CoRR (2023)
Frederik Hagelskjær
GP3D: Generalized Pose Estimation in 3D Point Clouds: A case study on bin picking. CoRR (2023)
Frederik Hagelskjær, Kasper Høj Lorenzen, Dirk Kraft
Off-the-shelf bin picking workcell with visual pose estimation: A case study on the world robot summit 2018 kitting task. CoRR (2023)
Frederik Hagelskjær, Dirk Kraft
In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components. CASE (2022)
Frederik Hagelskjær
Deep Learning Classification of Large-Scale Point Clouds: A Case Study on Cuneiform Tablets. ICIP (2022)
Frederik Hagelskjær, Anders Glent Buch
ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data. IROS (2022)
Frederik Hagelskjær, Dirk Kraft
In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components. CoRR (2022)
Frederik Hagelskjær, Anders Glent Buch
ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data. CoRR (2022)
Frederik Hagelskjær, Anders Glent Buch
Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization. ICCVW (2021)
Frederik Hagelskjær, Anders Glent Buch
Bridging the Performance Gap Between Pose Estimation Networks Trained on Real And Synthetic Data Using Domain Randomization. CoRR (2020)
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
Towards robot cell matrices for agile production - SDU Robotics' assembly cell at the WRC 2018. Adv. Robotics 34 (7-8) (2020)
Frederik Hagelskjær, Anders Glent Buch
Pointvotenet: Accurate Object Detection And 6 DOF Pose Estimation In Point Clouds. ICIP (2020)
Frederik Hagelskjær, Anders Glent Buch
PointPoseNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds. CoRR (2019)
Frederik Hagelskjær, Norbert Krüger, Anders Glent Buch
Bayesian Optimization of 3D Feature Parameters for 6D Pose Estimation. VISIGRAPP (5: VISAPP) (2019)
Frederik Hagelskjær, Aljaz Kramberger, Adam Wolniakowski, Thiusius Rajeeth Savarimuthu, Norbert Krüger
Combined Optimization of Gripper Finger Design and Pose Estimation Processes for Advanced Industrial Assembly. IROS (2019)
Frederik Hagelskjær, Thiusius Rajeeth Savarimuthu, Norbert Krüger, Anders Glent Buch
Using spatial constraints for fast set-up of precise pose estimation in an industrial setting. CASE (2019)
Frederik Hagelskjær, Anders Glent Buch, Norbert Krüger
Does Vision Work Well Enough for Industry? VISIGRAPP (4: VISAPP) (2018)
Frederik Hagelskjær, Norbert Krüger, Anders Glent Buch
A Novel 2.5D Feature Descriptor Compensating for Depth Rotation. VISIGRAPP (4: VISAPP) (2017)
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
Optimizing grippers for compensating pose uncertainties by dynamic simulation. SIMPAR (2016)