Publications

Ontology-based Semantic Labeling for RGB-D and Point Cloud Datasets
Fabian Kaufmann, Mahdi Chamseddine, Suresh Guttikonda, Christian Glock, Didier Stricker, Jason Raphael Rambach,
In: Computing in Construction. European Conference on Computing in Construction (EC3-2023), 2023 European Conference on Computing in Construction, July 10-12, Heraklion, Crete, Greece, ISBN 978-0-701702-73-1, EC3, 2023.
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DeepEdgeSoC: End-to-end deep learning framework for edge IoT devices
Mhd Rashed Al Koutayni, Gerd Reis, Didier Stricker,
In: Internet of Things, Vol. 21, Pages 1-18, Elsevier, 4/2023.
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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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Principles of Object Tracking and Mapping
Jason Raphael Rambach, Alain Pagani, Didier Stricker,
In: Andrew Yeh Ching Nee; Soh Khim Ong. Springer Handbook of Augmented Reality. Pages 53-84, Springer Handbooks, ISBN 978-3-030-67821-0, Springer, Switzerland, 1/2023.
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Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras
Fangwen Shu, Jiaxuan Wang, Alain Pagani, Didier Stricker,
In: IEEE. IEEE International Conference on Robotics and Automation (ICRA-2023), May 29 - June 2, London, United Kingdom, IEEE, 2023.
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Accelerating the Run-Time of Convolutional Neural Networks through Weight Pruning and Quantization
Rajai Alhimdiat, Wesam Ashour, Ramy Battrawy, Didier Stricker,
In: International Engineering Conference on Renewable Energy & Sustainability. International Engineering Conference on Renewable Energy & Sustainability (ieCRES-2023), International Engineering Conference on Renewable Energy & Sustainability, located at The 8th International Engineering Conference on Renewable Energy & Sustainability, March 6-7, Gaza, Palestinian Territory, Occupied, IEEE, 2023.
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OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection
Yongzhi Su, Yan Di, Fabian Manhardt, Guangyao Zhai, Jason Raphael Rambach, Benjamin Busam, Didier Stricker, Federico Tombari,
In: IEEE Robotics and Automation Letters (RA-L), Vol. 8, Pages 1327-1334, IEEE, 3/2023.
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Driving Activity Recognition Using UWB Radar and Deep Neural Networks
Iuliia Brishtel, Stephan Krauß, Mahdi Chamseddine, Jason Raphael Rambach, Didier Stricker,
In: Sensors - Open Access Journal (Sensors), Vol. 23, No. 2, Pages 1-15, MDPI, 1/2023.
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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.
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Editorial – Advanced Scene Perception for Augmented Reality
Jason Raphael Rambach, Didier Stricker,
Journal of Imaging (MDPI J) Special Issue Advanced Scene Perception for Augmented Reality MDPI 10/2022 .
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Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images
Sankalp Sinha, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,
Applied Sciences (MDPI) 12 20 Seiten 1-22 MDPI Switzerland 10/2022 .
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Attention-Guided Disentangled Feature Aggregation for Video Object Detection
Shishir Muralidhara, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,
Sensors - Open Access Journal (Sensors) 22 21 Seiten 1-17 MDPI Switzerland 11/2022 .
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Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection
Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal,
British Machine Vision Conference. British Machine Vision Conference (BMVC-2022) 33rd British Machine Vision Conference British Machine Vision Association England 11/2022 .
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BoxMask: Revisiting Bounding Box Supervision for Video Object Detection
Khurram Azeem Hashmi, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal,
In: Winter Conference on Applications of Computer Vision 2023. IEEE Winter Conference on Applications of Computer Vision (WACV-2023), January 3-8, Waikoloa, HI, USA, CVF, 2023.
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Continual Learning for Table Detection in Document Images
Mohammad Minouei, Khurram Azeem Hashmi, Mohammad Reza Soheili, Muhammad Zeshan Afzal, Didier Stricker,
Jan Egger (Hrsg.). Applied Sciences (MDPI) 12 18 Seiten 01-16 MDPI Switzerland 9/2022 .
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Mask-Aware Semi-Supervised Object Detection in Floor Plans
Tahira Shehzadi, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal,
Applied Sciences (Hrsg.). Applied Sciences (MDPI) 12 9 Seiten 1-18 MDPI Switzerland 9/2022 .
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Autoencoder for Synthetic to Real Generalization: From Simple to More Complex Scenes
Steve Dias Da Cruz, Bertram Taetz, Thomas Stifter, Didier Stricker,
Proceedings of IEEE International Conference on Pattern Recognition (ICPR). International Conference on Pattern Recognition (ICPR-2022) IEEE 2022 .
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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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