| 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 | 132 | 2015 |
| Active Learning for Deep Object Detection CA Brust, C Käding, J Denzler VISAPP 2019 - Proceedings of the 14th International Joint Conference on …, 2019 | 86 | 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 | 73 | 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 | 27 | 2020 |
| Efficient convolutional patch networks for scene understanding CA Brust, S Sickert, M Simon, E Rodner, J Denzler CVPR Scene Understanding Workshop, 2015 | 19 | 2015 |
| Active and incremental learning with weak supervision CA Brust, C Käding, J Denzler KI-Künstliche Intelligenz 34, 165-180, 2020 | 17 | 2020 |
| 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 | 12 | 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 | 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 | 4 | 2021 |
| 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 | 3 | 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 | 3 | 2016 |
| 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 | 2 | 2018 |
| Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance CA Brust, B Barz, J Denzler INFORMATIK 2021 CS4BIODIVERSITY Workshop, 2021 | 1 | 2021 |
| 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 |
Joachim DenzlerProfessor für Informatik, Friedrich-Schiller University JenaVerified email at uni-jena.de
