Clemens-Alexander Brust
Clemens-Alexander Brust
Group Lead Secure Software Engineering at DLR Data Science
Verified email at - Homepage
Cited by
Cited by
Convolutional patch networks with spatial prior for road detection and urban scene understanding
CA Brust, S Sickert, M Simon, E Rodner, J Denzler
VISAPP 2015 - Proceedings of the 10th International Conference on Computer …, 2015
Active Learning for Deep Object Detection
CA Brust, C Käding, J Denzler
VISAPP 2019 - Proceedings of the 14th International Joint Conference on …, 2019
Towards Automated Visual Monitoring of Individual Gorillas in the Wild
CA Brust, T Burghardt, M Groenenberg, C Käding, HS Kühl, ...
Proceedings of the IEEE International Conference on Computer Vision, 2820-2830, 2017
Integrating domain knowledge: using hierarchies to improve deep classifiers
CA Brust, J Denzler
Pattern Recognition: 5th Asian Conference, ACPR 2019, Auckland, New Zealand …, 2020
Active and incremental learning with weak supervision
CA Brust, C Käding, J Denzler
KI-Künstliche Intelligenz 34, 165-180, 2020
Efficient convolutional patch networks for scene understanding
CA Brust, S Sickert, M Simon, E Rodner, J Denzler
CVPR Scene Understanding Workshop, 2015
Registration of High Resolution Sar and Optical Satellite Imagery Using Fully Convolutional Networks
S Hoffmann, CA Brust, M Shadaydeh, J Denzler
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
Not Just a Matter of Semantics: The Relationship Between Visual and Semantic Similarity
CA Brust, J Denzler
German Conference on Pattern Recognition, 414-427, 2019
Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—individual identification and …
P Bodesheim, J Blunk, M Körschens, CA Brust, C Käding, J Denzler
Mammalian Biology 102 (3), 875-897, 2022
Neither Quick Nor Proper--Evaluation of QuickProp for Learning Deep Neural Networks
CA Brust, S Sickert, M Simon, E Rodner, J Denzler
arXiv preprint arXiv:1606.04333, 2016
Cross-domain evaluation of a deep learning-based type inference system
B Gruner, T Sonnekalb, TS Heinze, CA Brust
2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023
Generalizability of Code Clone Detection on CodeBERT
T Sonnekalb, B Gruner, CA Brust, P Mäder
Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
CA Brust, B Barz, J Denzler
2020 25th International Conference on Pattern Recognition (ICPR), 6866-6873, 2021
Towards Enabling Level 3A AI in Avionic Platforms
WMM Zaeske, CA Brust, A Lund, U Durak
Software Engineering 2023 Workshops, 189-207, 2023
Keeping the Human in the Loop: Towards Automatic Visual Monitoring in Biodiversity Research
J Denzler, C Käding, CA Brust
10th International Conference on Ecological Informatics (ICEI), 16, 2018
TIPICAL-Type Inference for Python In Critical Accuracy Level
J Elkobi, B Gruner, T Sonnekalb, CA Brust
2023 IEEE/ACIS 21st International Conference on Software Engineering …, 2023
Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance
CA Brust, B Barz, J Denzler
User-agent as a Cyber Intrusion Artifact: Detection of APT Activity using minimal Anomalies on the User-agent String Traffic
BE Bouhlal, T Sonnekalb, B Gruner, CA Brust
ZEUS 2024 1613, 63, 2024
Finding a Needle in a Haystack: Threat Analysis in Open-Source Projects
B Gruner, ST Heckner, T Sonnekalb, BE Bouhlal, CA Brust
A Static Analysis Platform for Investigating Security Trends in Repositories
T Sonnekalb, CT Knaust, B Gruner, CA Brust, TS Heinze, ...
2023 IEEE/ACM 1st International Workshop on Software Vulnerability (SVM), 1-5, 2023
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