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Clemens-Alexander Brust
Clemens-Alexander Brust
Acting Group Lead Secure Software Engineering at DLR Data Science
Verified email at dlr.de - Homepage
Title
Cited by
Cited by
Year
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
1322015
Active Learning for Deep Object Detection
CA Brust, C Käding, J Denzler
VISAPP 2019 - Proceedings of the 14th International Joint Conference on …, 2019
862019
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
732017
Integrating domain knowledge: using hierarchies to improve deep classifiers
CA Brust, J Denzler
Pattern Recognition: 5th Asian Conference, ACPR 2019, Auckland, New Zealand …, 2020
272020
Efficient convolutional patch networks for scene understanding
CA Brust, S Sickert, M Simon, E Rodner, J Denzler
CVPR Scene Understanding Workshop, 2015
192015
Active and incremental learning with weak supervision
CA Brust, C Käding, J Denzler
KI-Künstliche Intelligenz 34, 165-180, 2020
172020
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
122019
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
9*2019
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
42021
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), 853-875, 2022
32022
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
32016
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
22018
Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance
CA Brust, B Barz, J Denzler
INFORMATIK 2021 CS4BIODIVERSITY Workshop, 2021
12021
Generalizability of Code Clone Detection on CodeBERT
T Sonnekalb, B Gruner, CA Brust, P Mäder
arXiv preprint arXiv:2208.12588, 2022
2022
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System
B Gruner, T Sonnekalb, TS Heinze, CA Brust
arXiv preprint arXiv:2208.09189, 2022
2022
Machine Learning Applications in Secure Software Engineering
BE Bouhlal, B Gruner, T Sonnekalb, CA Brust
2022
ROMEO: Exploring Juliet through the Lens of Assembly Language
CA Brust, B Gruner, T Sonnekalb
arXiv preprint arXiv:2112.06623, 2021
2021
Self-Supervised Learning from Semantically Imprecise Data
CA Brust, B Barz, J Denzler
arXiv preprint arXiv:2104.10901, 2021
2021
Investigating the Consistency of Uncertainty Sampling in Deep Active Learning
N Penzel, C Reimers, CA Brust, J Denzler
DAGM German Conference on Pattern Recognition (DAGM-GCPR), 2021
2021
AUTOMATED POLYP DIFFERENTIATION ON COLOSCOPIC DATA USING SEMANTIC SEGMENTATION WITH CNNS
M Arlt, J Peter, S Sickert, CA Brust, J Denzler, A Stallmach
Endoscopy 51 (04), OP1, 2019
2019
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