Laura Dörr

According to our database, Laura Dörr authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chains.

Alexander Naumann, Felix Hertlein, Laura Dörr, Kai Furmans

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Literature Review: Computer Vision Applications in Transportation Logistics and Warehousing.

Alexander Naumann, Felix Hertlein, Laura Dörr, Steffen Thoma, Kai Furmans

CoRR, 2023

Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logistics.

Alexander Naumann, Felix Hertlein, Laura Dörr, Kai Furmans

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics.

Alexander Naumann, Felix Hertlein, Benchun Zhou, Laura Dörr, Kai Furmans

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases.

Laura Dörr, Felix Brandt, Alexander Naumann, Martin Pouls

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020

An Image Processing Pipeline for Automated Packaging Structure Recognition.

Laura Dörr, Felix Brandt, Martin Pouls, Alexander Naumann

CoRR, 2020

Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection.

Alexander Naumann, Laura Dörr, Niels Ole Salscheider, Kai Furmans

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Fully-Automated Packaging Structure Recognition in Logistics Environments.

Laura Dörr, Felix Brandt, Martin Pouls, Alexander Naumann

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

2019

Lean Training Data Generation for Planar Object Detection Models in Unsteady Logistics Contexts.

Laura Dörr, Felix Brandt, Anne Meyer, Martin Pouls

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019