Follow
Clemens-Alexander Brust
Clemens-Alexander Brust
Research Associate, DLR Data Science Institute
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
1262015
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
602017
Active Learning for Deep Object Detection
CA Brust, C Käding, J Denzler
VISAPP 2019 - Proceedings of the 14th International Joint Conference on …, 2019
592019
Integrating domain knowledge: using hierarchies to improve deep classifiers
CA Brust, J Denzler
Asian Conference on Pattern Recognition, 3-16, 2019
192019
Efficient convolutional patch networks for scene understanding
CA Brust, S Sickert, M Simon, E Rodner, J Denzler
CVPR Scene Understanding Workshop, 2015
182015
Active and incremental learning with weak supervision
CA Brust, C Käding, J Denzler
KI-Künstliche Intelligenz 34 (2), 165-180, 2020
132020
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
92019
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
8*2019
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
42016
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
32021
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
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, 1-23, 2022
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
Dataless Black-Box Model Comparison
C Theiss, CA Brust, J Denzler
Pattern Recognition and Image Analysis 28 (4), 676-683, 2018
2018
You have to look more than once: active and continuous exploration using YOLO
CA Brust, C Käding, J Denzler
International Conference on Computer Vision and Pattern Recognition 2017 …, 2017
2017
Semantic knowledge integration for learning from semantically imprecise data
CA Brust
The system can't perform the operation now. Try again later.
Articles 1–20