Machine Learning in Signal Processing
In machine learning, and especially in deep learning, the focus is on both fundamental and applied research. Machine learning algorithms are developed for anomaly detection, uncertainty estimation, out-of-distribution detection, few-shot learning, noisy label learning, as well as hardware motivated problems such as model compression and efficient design of neural network architectures. Applications range from automated driving, computer vision and medical image analysis to signal processing. For example, trajectory and motion prediction, localisation, and image and point cloud segmentation are some examples of practical problems.
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Tsaregorodtsev, Alexander, Buchholz, Michael, Belagiannis, Vasileios, Automated Automotive Radar Calibration With Intelligent Vehicles, arXiv preprint arXiv:2306.13323, 2023. |
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Holzbock, Adrian, Hegde, Achyut, Dietmayer, Klaus, Belagiannis, Vasileios, Data-Free Backbone Fine-Tuning for Pruned Neural Networks, arXiv preprint arXiv:2306.12881, 2023. |
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Tsaregorodtsev, Alexander, Holzbock, Adrian, Strohbeck, Jan, Buchholz, Michael, Belagiannis, Vasileios, Automated Static Camera Calibration with Intelligent Vehicles, arXiv preprint arXiv:2304.10814, 2023. |
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Schmidt, Julian, Huissel, Pascal, Wiederer, Julian, Jordan, Julian, Belagiannis, Vasileios, Dietmayer, Klaus, RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction, arXiv preprint arXiv:2304.05856, 2023. |
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Briegleb, Annika, Haubner, Thomas, Belagiannis, Vasileios, Kellermann, Walter, Localizing Spatial Information in Neural Spatiospectral Filters, arXiv preprint arXiv:2303.08052, 2023. |
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Dawoud, Youssef, Bouazizi, Arij, Ernst, Katharina, Carneiro, Gustavo, Belagiannis, Vasileios, Knowing What To Label for Few Shot Microscopy Image Cell Segmentation, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. |
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Hornauer, Julia, Belagiannis, Vasileios, Heatmap-Based Out-of-Distribution Detection, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. |
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Ülger, Osman, Wiederer, Julian, Ghafoorian, Mohsen, Belagiannis, Vasileios, Mettes, Pascal, Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs, 33rd British Machine Vision Conference 2022, {BMVC} 2022 |
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Liu, Yuyuan, Ding, Choubo, Tian, Yu, Pang, Guansong, Belagiannis, Vasileios, Reid, Ian, Carneiro, Gustavo, Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation, arXiv preprint arXiv:2211.14512, 2022. |