Publications

Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions
Shishir Muralidhara, René Schuster, Didier Stricker,
In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2025), February 23-25, Porto, Portugal, Scitepress, 2025.
Details | Link 1

Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation
Niharika Hegde, Shishir Muralidhara, René Schuster, Didier Stricker,
In: IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, IEEE, 2025.
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AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy
Katharina Bendig, René Schuster, Nicole Thiemer, Karen Joisten, Didier Stricker,
In: IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, Institute of Electrical and Electronics Engineers (IEEE), 2025.
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ShapeAug++: More Realistic Shape Augmentation for Event Data
Katharina Bendig, René Schuster, Didier Stricker,
In: ArXiv e-prints (arxiv), Vol. 2409, No. 11075, Pages 1-11, arXiv, 2024.
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CLEO: Continual Learning of Evolving Ontologies
Shishir Muralidhara, Saqib Bukhari, Georg Schneider, Didier Stricker, René Schuster,
In: European Conference on Computer Vision. European Conference on Computer Vision (ECCV-2024), September 29 - October 4, Mailand, Germany, Springer, 2024.
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RMS-FlowNet++: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds
Ramy Battrawy, René Schuster, Didier Stricker,
In: International Journal of Computer Vision (IJCV), Vol. 132, Pages 01-22, Springer, 5/2024.
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ShapeAug: Occlusion Augmentation for Event Camera Data
Katharina Bendig, René Schuster, Didier Stricker,
In: International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2024), February 24-26, Rome, Italy, SCITEPRESS, 2024.
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Learned Fusion: 3D Object Detection using Calibration-Free Transformer Feature Fusion
David Michael Fürst, Rahul Jakkamsetty, René Schuster, Didier Stricker,
In: Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2024), February 24-26, Rome, Italy, SCITEPRESS, 2024.
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JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation
Shishir Muralidhara, Sravan Kumar Jagadeesh, René Schuster, Didier Stricker,
In: SN Computer Science (SNCS), Vol. 5, Pages 0-16, Springer, 2024.
Details | Link 1

EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support
Ramy Battrawy, René Schuster, Didier Stricker,
In: British Machine Vision Conference. British Machine Vision Conference (BMVC-2023), located at The 34th British Machine Vision Conference, November 20-24, Aberdeen, Scotland, United Kingdom, BMVA, 2023.
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EvLiDAR-Flow: Attention-Guided Fusion between Point Clouds and Events for Scene Flow Estimation
Ankit Sonthalia, Ramy Battrawy, René Schuster, Didier Stricker,
In: International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2023), February 22-24, Lissabon, Portugal, Scitepress, 2023.
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Severity of Catastrophic Forgetting in Object Detection for Autonomous Driving
Christian Witte, René Schuster, Syed Saqib Bukhari, Patrick Trampert, Didier Stricker, Georg Schneider,
In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2023), February 22-24, Lissabon, Portugal, Scitepress, 2023.
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Multi-task Fusion for Efficient Panoptic-Part Segmentation
Sravan Kumar Jagadeesh, René Schuster, Didier Stricker,
In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2023), February 22-24, Lissabon, Portugal, Scitepress, 2023.
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On the Future of Training Spiking Neural Networks
Katharina Bendig, René Schuster, Didier Stricker,
In: International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2023), February 22-24, Lissabon, Portugal, SCITEPRESS, 2023.
Details | Link 1

Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
Dipam Goswami, René Schuster, Didier Stricker,
In: Winter Conference on Applications of Computer Vision 2023. IEEE Winter Conference on Applications of Computer Vision (WACV-2023), January 2-7, Waikoloa, HI, USA, IEEE, 2023.
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Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time
David Michael Fürst, Priyash Bhugra, René Schuster, Didier Stricker (Hrsg.),
ernational Conference on Pattern Recognition (ICPR-2022) August 21-25 Montreal Quebec Canada IEEE 2022 .
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Self-SuperFlow: Self-supervised Scene Flow Prediction in Stereo Sequences
Katharina Bendig, René Schuster, Didier Stricker,
International Conference on Image Processing. IEEE International Conference on Image Processing (ICIP-2022) October 16-19 Bordeaux France IEEE 2022 .
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RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds
Ramy Battrawy, René Schuster, Mohammad-Ali Nikouei Mahani, Didier Stricker,
In: International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2022), IEEE International Conference on Robotics and Automation, May 23-27, Philadelphia, Pennsylvania (PA), USA, IEEE, 2022.
Details | Link 1 | Link 2 | Link 3 | Link 4

Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching
Kumail Raza, René Schuster, Didier Stricker,
Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2021) November 30-30 Ingolstadt Germany ACM 2021 .
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A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions
René Schuster, Christian Unger, Didier Stricker,
Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2021) January 5-9 Waikoloa HI United States IEEE 2021 .
Details | Link 1