Publikationen

437.

K. Kollek, M. Braun, J. Meusener and A. Kummert, "Real-Time Traffic Counting on Resource Constrained Embedded Systems" in 2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS), 2022, pp. 1-4.

DOI: 10.1109/MWSCAS54063.2022.9859538

436.

A. Bauer, J. Oberbossel, S. Sander and A. Kummert, "WUP-CD: Towards 2.5D Data for Deep Learning Building Change Detection" in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 219-222.

DOI: 10.1109/IGARSS46834.2022.9883863

435.

F. Ghorban, N. Hasan, J. Velten and A. Kummert, "Individual Weighting of Unlabeled Data Points via Confidence-Awareness in Semi-Supervised Learning" in 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022, pp. 1215-1219.

DOI: 10.1109/ISCAS48785.2022.9937663

434.

M. Braun, M. Luszek, M. Meuter, D. Spata, K. Kollek and A. Kummert, "Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time" in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3200--3206.

433.

M. Schäfer, K. Zhao, M. Bühren and A. Kummert, "Context-Aware Scene Prediction Network (CASPNet)" in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3970-3977.

DOI: 10.1109/ITSC55140.2022.9921850

432.

G. Maus, J. Schirmer, R. Ahrens, S. Janicke and D. Brückmann, "Car Traffic Monitoring Using Discrete Frequency Chirp {Bluetooth} Radar" in 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022, pp. 722--726.

DOI: 10.1109/ISCAS48785.2022.9937298

431.

M. Braun, M. Luszek, J. Siegemund, K. Kollek and A. Kummert, "Quantification of Uncertainties in Deep Learning-based Environment Perception" in 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS), 2021, pp. 1--8.

430.

M. Goubeaud, P. Joußen, N. Gmyrek, F. Ghorban and A. Kummert, "White Noise Windows: Data Augmentation for Time Series" in 2021 7th International Conference on Optimization and Applications (ICOA), 2021, pp. 1-5.

DOI: 10.1109/ICOA51614.2021.9442656

429.

M. Goubeaud, P. Joußen, N. Gmyrek, F. Ghorban, L. Schelkes and A. Kummert, "Using Variational Autoencoder to augment Sparse Time series Datasets" in 2021 7th International Conference on Optimization and Applications (ICOA), 2021, pp. 1-6.

DOI: 10.1109/ICOA51614.2021.9442619

428.

D. Michalik, P. Kohl, M. Krause, A. Kummert and T. Meisen, "Synergiepotenziale von Virtual City Twins im Bereich automatisiertes Fahren ? Beschleunigung der technischen Entwicklung und " in Making Connected Mobility Work, Proff, Heike, Eds. <prt>Springer Fachmedien Wiesbaden</prt>, 2021.

427.

S. Tilgner, D. Wagner, K. Kalischewski, J. Schmitz and A. Kummert, "Study on the Influence of Multiple Image Inputs of a Multi-View Fusion Neural Network Based on Grad-CAM and Masked Image Inputs" in 2020 28th European Signal Processing Conference (EUSIPCO), 2021, pp. 1427-1431.

DOI: 10.23919/Eusipco47968.2020.9287315

ISBN: 978-9-0827-9705-3

426.

M. Braun, A. Cennamo, M. Schoeler, K. Kollek and A. Kummert, "Semantic Segmentation of Radar Detections using Convolutions on Point Clouds", Journal of Physics: Conference Series, vol. 1924, no. 1, pp. 012003, Mai 2021. {IOP} Publishing.

DOI: 10.1088/1742-6596/1924/1/012003

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425.

B. Sulikowski, K. Gałkowski, D. Trzciński, E. Rogers and A. Kummert, "Robust Iterative Learning Control for Spatially Interconnected Systems using 2D Control Theory" in 2021 European Control Conference (ECC), 2021, pp. 1030-1035.

DOI: 10.23919/ECC54610.2021.9654959

424.

M. Goubeaud, N. Gmyrek, F. Ghorban, L. Schelkes and A. Kummert, "Random Noise Boxes: Data Augmentation for Spectrograms" in 2021 IEEE International Conference on Progress in Informatics and Computing (PIC), 2021, pp. 24-28.

DOI: 10.1109/PIC53636.2021.9687058

423.

J. Cao, H. Dai, B. Lei, C. Yin, H. Zeng and A. Kummert, "Maximum Correntropy Criterion-Based Hierarchical One-Class Classification", IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 8, pp. 3748-3754, 2021.

DOI: 10.1109/TNNLS.2020.3015356

422.

I. Freeman, K. Zhao and A. Kummert, "Polynomial Trajectory Predictions for Improved Learning Performance" in 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 3313-3317.

DOI: 10.1109/ICIP42928.2021.9506459

421.

J. Schmitz, A. Bauer and A. Kummert, "Large-Scale Curb Extraction Based on 3D Deep Learning and Iterative Refinement Post-Processing" in 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021, pp. 558--563.

420.

K. Kollek, M. A. Aguilar, M. Braun and A. Kummert, "Improving Neural Network Architecture Compression by Multi-Grain Pruning" in 2021 IEEE International Conference on Progress in Informatics and Computing (PIC), 2021, pp. 6--13.

419.

F. Ghorban, N. Hasan, J. Velten and A. Kummert, "Improving FM-GAN through Mixup Manifold Regularization" in 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021, pp. 1-5.

DOI: 10.1109/ISCAS51556.2021.9401169

418.

L. Kolonko, J. Velten, A. Kummert and B. Musiol, "FPGA Implementation of Wave Digital Filters with Multiple exp-based Nonlinearities" in 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021, pp. 507-510.

DOI: 10.1109/MWSCAS47672.2021.9531724

417.

L. Kolonko, J. Velten and A. Kummert, "Automatic Differentiating Wave Digital Filters with Multiple Nonlinearities" in 2020 28th European Signal Processing Conference (EUSIPCO), 2021, pp. 1-5.

ISBN: 978-9-0827-9705-3

416.

L. Kolonko, B. Musiol, J. Velten and A. Kummert, "A Split-Modular Approach to Wave Digital Filters containing Bipolar Junction Transistors" in 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021, pp. 840-843.

DOI: 10.1109/MWSCAS47672.2021.9531789

415.

N. Kuxdorf-Alkirata, G. Maus and D. Brückmann, "A Device-free Indoor Localization System Based on Supervised Learning and {Bluetooth Low Energy}" in 2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2021, pp. 413--418.

DOI: 10.1109/MeditCom49071.2021.9647654

414.

G. Maus and D. Brückmann, "Absolute phase measurements using off-the-shelf {BLE} components" in Wireless Congress: Systems & Applications, Nov. 2020.

413.

J. Schmitz, S. Tilgner, K. Kalischewski, D. Wagner and A. Kummert, "Hands on Wheel Classification Based on Depth Images and Neural Networks" in MATEC Web of Conferences, 2020, pp. 06003.

DOI: 10.1051/matecconf/202030806003

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