Frederik Hagelskjær

Orcid: 0000-0002-0000-0348

According to our database1, Frederik Hagelskjær authored at least 18 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Off-the-shelf bin picking workcell with visual pose estimation: A case study on the world robot summit 2018 kitting task.
CoRR, 2023

GP3D: Generalized Pose Estimation in 3D Point Clouds: A case study on bin picking.
CoRR, 2023

SpyroPose: Importance Sampling Pyramids for Object Pose Distribution Estimation in SE(3).
CoRR, 2023

SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Deep Learning Classification of Large-Scale Point Clouds: A Case Study on Cuneiform Tablets.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Bridging the Performance Gap Between Pose Estimation Networks Trained on Real And Synthetic Data Using Domain Randomization.
CoRR, 2020

Towards robot cell matrices for agile production - SDU Robotics' assembly cell at the WRC 2018.
Adv. Robotics, 2020

Pointvotenet: Accurate Object Detection And 6 DOF Pose Estimation In Point Clouds.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
PointPoseNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds.
CoRR, 2019

Bayesian Optimization of 3D Feature Parameters for 6D Pose Estimation.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Combined Optimization of Gripper Finger Design and Pose Estimation Processes for Advanced Industrial Assembly.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Using spatial constraints for fast set-up of precise pose estimation in an industrial setting.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Does Vision Work Well Enough for Industry?
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

2017
A Novel 2.5D Feature Descriptor Compensating for Depth Rotation.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

2016
Optimizing grippers for compensating pose uncertainties by dynamic simulation.
Proceedings of the 2016 IEEE International Conference on Simulation, 2016


  Loading...