Christopher Reining

Orcid: 0000-0003-4915-4070

Affiliations:
  • TU Dortmund, Germany


According to our database1, Christopher Reining authored at least 25 papers between 2018 and 2024.

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

2024
Semi-automated computer vision-based tracking of multiple industrial entities: a framework and dataset creation approach.
EURASIP J. Image Video Process., December, 2024

Kontextbasierte Aktivitätserkennung - Synergie von Mensch und Technik in der Social Networked Industry.
CoRR, 2024

2023
Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings.
CoRR, 2023

Dataset Bias in Human Activity Recognition.
CoRR, 2023

A Tutorial on Dataset Creation for Sensor-based Human Activity Recognition.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

On Graph Representation based Re-Identification - A Proof of Concept.
Proceedings of the IEEE International Conference on Data Mining, 2023

A Grid-based Sensor Floor Platform for Robot Localization using Machine Learning.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022
On the Applicability of Synthetic Data for Re-Identification.
CoRR, 2022

UAVs for Industries and Supply Chain Management.
CoRR, 2022

Applications of human activity recognition in industrial processes - Synergy of human and technology.
CoRR, 2022

Category-agnostic Segmentation for Robotic Grasping.
CoRR, 2022

Multi-Channel Time-Series Person and Soft-Biometric Identification.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Deep Learning Based Re-Identification of Wooden Euro-pallets.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

DoPose-6D dataset for object segmentation and 6D pose estimation.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Micro-UAV Swarm Testbed for Indoor Applications.
Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022

2021
pRSL: Interpretable multi-label stacking by learning probabilistic rules.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Benchmarking Annotation Procedures for Multi-channel Time Series HAR Dataset.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing.
Proceedings of the Computational Logistics - 12th International Conference, 2021

Towards Re-Identification for Warehousing Entities - A Work-in-Progress Study.
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

2020
LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes.
Sensors, 2020

Annotation Performance for multi-channel time series HAR Dataset in Logistics.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

2019
Human Activity Recognition for Production and Logistics - A Systematic Literature Review.
Inf., 2019

2018
Attribute Representation for Human Activity Recognition of Manual Order Picking Activities.
Proceedings of the 5th international Workshop on Sensor-based Activity Recognition and Interaction, 2018

Towards a Framework for Semi-Automated Annotation of Human Order Picking Activities Using Motion Capturing.
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018


  Loading...