| Fast cloud segmentation using convolutional neural networks J Drönner, N Korfhage, S Egli, M Mühling, B Thies, J Bendix, B Freisleben, ... Remote Sensing 10 (11), 1782, 2018 | 99 | 2018 |
| Content-based video retrieval in historical collections of the German broadcasting archive M Mühling, M Meister, N Korfhage, J Wehling, A Hörth, R Ewerth, ... International Journal on Digital Libraries 20, 167-183, 2019 | 48 | 2019 |
| Deep learning for content-based video retrieval in film and television production M Mühling, N Korfhage, E Müller, C Otto, M Springstein, T Langelage, ... Multimedia Tools and Applications 76, 22169-22194, 2017 | 37 | 2017 |
| Detection and segmentation of morphologically complex eukaryotic cells in fluorescence microscopy images via feature pyramid fusion N Korfhage, M Mühling, S Ringshandl, A Becker, B Schmeck, ... PLOS Computational Biology 16 (9), e1008179, 2020 | 30 | 2020 |
| Bird Species Recognition via Neural Architecture Search. M Mühling, J Franz, N Korfhage, B Freisleben CLEF (Working Notes), 1-13, 2020 | 24 | 2020 |
| Investigating correlations of inter-coder agreement and machine annotation performance for historical video data K Pustu-Iren, M Mühling, N Korfhage, J Bars, S Bernhöft, A Hörth, ... Digital Libraries for Open Knowledge: 23rd International Conference on …, 2019 | 7 | 2019 |
| Bat echolocation call detection and species recognition by transformers with self-attention H Bellafkir, M Vogelbacher, J Gottwald, M Mühling, N Korfhage, P Lampe, ... International Conference on Intelligent Systems and Pattern Recognition, 189-203, 2022 | 6 | 2022 |
| Automatic Transcription of Organ Tablature Music Notation with Deep Neural Networks. D Schneider, N Korfhage, M Mühling, P Lüttig, B Freisleben Trans. Int. Soc. Music. Inf. Retr. 4 (1), 14-28, 2021 | 6 | 2021 |
| Fast Cloud Segmentation Using Convolutional Neural Networks, Remote Sens., 10, 1782 J Drönner, N Korfhage, S Egli, M Mühling, B Thies, J Bendix, B Freisleben, ... | 5 | 2018 |
| VIVA: visual information retrieval in video archives M Mühling, N Korfhage, K Pustu-Iren, J Bars, M Knapp, H Bellafkir, ... International journal on digital libraries 23 (4), 319-333, 2022 | 4 | 2022 |
| ElasticHash: Semantic Image Similarity Search by Deep Hashing with Elasticsearch N Korfhage, M Mühling, B Freisleben Computer Analysis of Images and Patterns: 19th International Conference …, 2021 | 4 | 2021 |
| Intentional image similarity search N Korfhage, M Mühling, B Freisleben Artificial Neural Networks in Pattern Recognition: 9th IAPR TC3 Workshop …, 2020 | 3 | 2020 |
| Identifying and Counting Avian Blood Cells in Whole Slide Images via Deep Learning M Vogelbacher, F Strehmann, H Bellafkir, M Mühling, N Korfhage, ... Birds 5 (1), 48-66, 2024 | 1 | 2024 |
| Intrinsic factors influence physiological stress in a forest bird community: Adults and females have higher H/L ratios than juveniles and males F Strehmann, M Vogelbacher, C Guckenbiehl, YR Schumm, J Masello, ... Authorea Preprints, 2024 | | 2024 |
| Edge-Based Bird Species Recognition via Active Learning H Bellafkir, M Vogelbacher, D Schneider, M Mühling, N Korfhage, ... International Conference on Networked Systems, 17-34, 2023 | | 2023 |
| DeepTab: Automatische Transkription von Orgeltabulaturen in die heutige Notenschrift mittels tiefer neuronaler Netze D Schneider, N Korfhage, M Mühling, P Lüttig, B Freisleben | | 2023 |
| Videomining in historischem Material–ein Praxisbericht: Projekt „Visuelle Informationssuche in Video-Archiven “(VIVA) K Pustu-Iren, J Bars, M Mühling, N Korfhage, A Hörth, B Freisleben, ... Bibliothek Forschung und Praxis 44 (3), 436-444, 2020 | | 2020 |
| Search Anything: Segmentation-Based Similarity Search Via Region Prompts N Korfhage, M Mühling, B Freisleben Available at SSRN 4772697, 0 | | |
