Critic guided segmentation of rewarding objects in first-person views A Melnik, A Harter, C Limberg, K Rana, N Sünderhauf, H Ritter KI 2021: Advances in Artificial Intelligence: 44th German Conference on AI …, 2021 | 8 | 2021 |
Beyond cross-validation—Accuracy estimation for incremental and active learning models C Limberg, H Wersing, H Ritter Machine Learning and Knowledge Extraction 2 (3), 327-346, 2020 | 8 | 2020 |
Active learning for image recognition using a visualization-based user interface C Limberg, K Krieger, H Wersing, H Ritter Artificial Neural Networks and Machine Learning–ICANN 2019: Deep Learning …, 2019 | 7 | 2019 |
Efficient Accuracy Estimation for Instance-Based Incremental Active Learning C Limberg, H Wersing, H Ritter European Symposium on Artificial Neural Networks (ESANN) 26, 171-176, 2018 | 6 | 2018 |
YOLO -- You only look 10647 times C Limberg, A Melnik, A Harter, H Ritter arXiv preprint arXiv:2201.06159, 2022 | 4 | 2022 |
Improving active learning by avoiding ambiguous samples C Limberg, H Wersing, H Ritter Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 4 | 2018 |
Prototype-Based Online Learning on Homogeneously Labeled Streaming Data C Limberg, JP Göpfert, H Wersing, H Ritter Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020 | 1 | 2020 |
Leveraging YOLO-World and GPT-4V LMMs for Zero-Shot Person Detection and Action Recognition in Drone Imagery C Limberg, A Gonçalves, B Rigault, H Prendinger arXiv preprint arXiv:2404.01571, 2024 | | 2024 |
Competence Modeling for Human-Robot Cooperation C Limberg | | 2022 |
Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot C Limberg, H Wersing, H Ritter Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | | 2020 |
Beyond Cross Validation-Classifier's Accuracy Prediction for Benchmarking Incremental and Active Learning Models C Limberg, H Wersing, H Ritter | | |
Cheering you up in empathic rooms C Limberg, B Wolff | | |