Marco Rudolph

Orcid: 0000-0003-4601-6609

According to our database1, Marco Rudolph authored at least 13 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Industrial anomaly detection with normalizing flows.
PhD thesis, 2024

The voraus-AD Dataset for Anomaly Detection in Robot Applications.
IEEE Trans. Robotics, 2024

Integrating Domain Expertise into Dynamic Digital Models: A Methodology for Behaviour-Driven Production Modelling.
Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Q-SENN: Quantized Self-Explaining Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Take 5: Interpretable Image Classification with a Handful of Features.
CoRR, 2023

Asymmetric Student-Teacher Networks for Industrial Anomaly Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure.
CoRR, 2022

Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019
Structuring Autoencoders.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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