Die Termine für die Klausuren im Sommersemester 2024 stehen fest!
Die Termine für die Klausuren im Sommersemester 2024 stehen fest!
Prof. Dr.-Ing. Anton Kummert
Lehre
Publikationen
- 2024
383.
Braun, Marco; Becker, Adrian; Meuter, Mirko; Roesler, Simon; Kollek, Kevin; Kummert, Anton
Deep Learning Method for Doppler Disambiguation
2024 IEEE International Symposium on Circuits and Systems (ISCAS), Seite 1--5
2024382.
Krabbe, Jan-Christoph; Bauer, Adrian; Kollek, Kevin; Meusener, Jan-Hendrik; Kummert, Anton
FPSeg: Flexible Promptable Semantic Segmentation for Edge Devices
2024 IEEE International Symposium on Circuits and Systems (ISCAS), Seite 1-5
2024381.
Kolonko, L.; Velten, J.; Kummert, A.
Parallelized Hardware Acceleration of Automatic Differentiating Wave Digital Filters
2024 IEEE International Symposium on Circuits and Systems (ISCAS), Seite 1-5
2024380.
Kollek, Kevin; Braun, Marco; Meusener, Jan-Hendrik; Krabbe, Jan-Christoph; Kummert, Anton
Empirical Study on the Impact of Few-Cost Proxies
2024 IEEE International Symposium on Circuits and Systems (ISCAS), Seite 1--5
2024- 2023
379.
Schröder, Sven; Reermann, Jens; Barnes, Sarah; Kraus, D.; Kummert, Anton
Pulsformdesign für monostatische MIMO Sonarsysteme mit experimentellen Untersuchungen im Hafengebiet
03 2023378.
Bauer, Adrian; Krabbe, Jan-Christoph; Ibrahim, Mohaned; Kummert, Anton
Refining Semantic Granularity of Aerial Image Segmentation Datasets Based on Ground Information
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Seite 5061-5064
2023377.
Sulikowski, Bartłomiej; Gałkowski, Krzysztof; Hładowski, Łukasz; Kummert, Anton; Velten, Joerg
Stability analysis and stabilization of discretized uncertain spatially interconnected systems
2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR), Seite 163-168
2023376.
Schröder, Sven; Reermann, Jens; Barnes, Sarah; Kraus, Dieter; Kummert, Anton
Study on pulse form design for monostatic MIMO sonar systems
OCEANS 2023 - Limerick, Seite 1-8
2023- 2022
375.
Hasecke, Frederik; Alsfasser, Martin; Kummert, Anton
What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation
2022 IEEE Intelligent Vehicles Symposium (IV), Seite 594-599
2022374.
Bauer, Adrian; Oberbossel, Jens; Sander, Stefan; Kummert, Anton
WUP-CD: Towards 2.5D Data for Deep Learning Building Change Detection
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Seite 219-222
2022373.
Ghorban, Farzin; Hasan, Nesreen; Velten, Jörg; Kummert, Anton
Individual Weighting of Unlabeled Data Points via Confidence-Awareness in Semi-Supervised Learning
2022 IEEE International Symposium on Circuits and Systems (ISCAS), Seite 1215-1219
2022372.
Kollek, Kevin; Braun, Marco; Meusener, Jan-Hendrik; Kummert, Anton
Real-Time Traffic Counting on Resource Constrained Embedded Systems
2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS), Seite 1--4
IEEE
2022371.
Braun, Marco; Luszek, Moritz; Meuter, Mirko; Spata, Dominic; Kollek, Kevin; Kummert, Anton
Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Seite 3200--3206
IEEE
2022370.
Schäfer, Maximilian; Zhao, Kun; Bühren, Markus; Kummert, Anton
Context-Aware Scene Prediction Network (CASPNet)
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Seite 3970-3977
2022- 2021
369.
Goubeaud, Maxime; Gmyrek, Nicolla; Ghorban, Farzin; Schelkes, Lucas; Kummert, Anton
Random Noise Boxes: Data Augmentation for Spectrograms
2021 IEEE International Conference on Progress in Informatics and Computing (PIC), Seite 24-28
2021368.
Goubeaud, Maxime; Joußen, Philipp; Gmyrek, Nicolla; Ghorban, Farzin; Kummert, Anton
White Noise Windows: Data Augmentation for Time Series
2021 7th International Conference on Optimization and Applications (ICOA), Seite 1-5
2021367.
Goubeaud, Maxime; Joußen, Philipp; Gmyrek, Nicolla; Ghorban, Farzin; Schelkes, Lucas; Kummert, Anton
Using Variational Autoencoder to augment Sparse Time series Datasets
2021 7th International Conference on Optimization and Applications (ICOA), Seite 1-6
2021366.
Michalik, David; Kohl, Per; Krause, Michael; Kummert, Anton; Meisen, Tobias
Synergiepotenziale von Virtual City Twins im Bereich automatisiertes Fahren ? Beschleunigung der technischen Entwicklung und
In Proff, Heike, Editor, Making Connected Mobility Work
Herausgeber: Springer Fachmedien Wiesbaden
2021365.
Tilgner, Stephan; Wagner, Daniel; Kalischewski, Kathrin; Schmitz, Jan-Christoph; Kummert, Anton
Study on the Influence of Multiple Image Inputs of a Multi-View Fusion Neural Network Based on Grad-CAM and Masked Image Inputs
2020 28th European Signal Processing Conference (EUSIPCO), Seite 1427-1431
2021ISBN: 978-9-0827-9705-3
364.
Braun, M.; Cennamo, A.; Schoeler, M.; Kollek, K.; Kummert, A.
Semantic Segmentation of Radar Detections using Convolutions on Point Clouds
Journal of Physics: Conference Series, 1924 (1) :012003
2021
Herausgeber: {IOP} Publishing363.
Sulikowski, Bartłomiej; Gałkowski, Krzysztof; Trzciński, Daniel; Rogers, Eric; Kummert, Anton
Robust Iterative Learning Control for Spatially Interconnected Systems using 2D Control Theory
2021 European Control Conference (ECC), Seite 1030-1035
2021362.
Braun, Marco; Luszek, Moritz; Siegemund, Jan; Kollek, Kevin; Kummert, Anton
Quantification of Uncertainties in Deep Learning-based Environment Perception
2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS), Seite 1--8
IEEE
2021361.
Cao, Jiuwen; Dai, Haozhen; Lei, Baiying; Yin, Chun; Zeng, Huanqiang; Kummert, Anton
Maximum Correntropy Criterion-Based Hierarchical One-Class Classification
IEEE Transactions on Neural Networks and Learning Systems, 32 (8) :3748-3754
2021
ISSN: 2162-2388360.
Schmitz, Jan-Christoph; Bauer, Adrian; Kummert, Anton
Large-Scale Curb Extraction Based on 3D Deep Learning and Iterative Refinement Post-Processing
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), Seite 558--563
IEEE
2021359.
Kollek, Kevin; Aguilar, Miguel Angel; Braun, Marco; Kummert, Anton
Improving Neural Network Architecture Compression by Multi-Grain Pruning
2021 IEEE International Conference on Progress in Informatics and Computing (PIC), Seite 6--13
IEEE
2021
