Tobias Riedlinger

Orcid: 0000-0002-1953-8607

According to our database1, Tobias Riedlinger authored at least 8 papers between 2022 and 2024.

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

Timeline

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Article 
PhD thesis 
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Links

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Bibliography

2024
Identifying Label Errors in Object Detection Datasets by Loss Inspection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Deep Active Learning with Noisy Oracle in Object Detection.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Pixel-Wise Gradient Uncertainty for Convolutional Neural Networks Applied to Out-of-Distribution Segmentation.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023
Methods and applications of uncertainty quantification for object recognition.
PhD thesis, 2023

Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning.
CoRR, 2022


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