| YFCC100M: The New Data in Multimedia Research B Thomee, B Elizalde, DA Shamma, K Ni, G Friedland, D Poland, D Borth, ... Communications of the ACM 59 (2), 64-73, 2016 | 2140 | 2016 |
| Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification P Helber, B Bischke, A Dengel, D Borth IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 2033 | 2019 |
| Large-scale Visual Sentiment Ontology and Detectors using Adjective Noun Pairs D Borth, R Ji, T Chen, T Breuel, SF Chang ACM International Conference on Multimedia, 223-232, 2013 | 952 | 2013 |
| DeepSentibank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks T Chen, D Borth, T Darrell, SF Chang arXiv preprint arXiv:1410.8586, 2014 | 487 | 2014 |
| Sonyc: A system for monitoring, analyzing, and mitigating urban noise pollution JP Bello, C Silva, O Nov, RL Dubois, A Arora, J Salamon, C Mydlarz, ... Communications of the ACM 62 (2), 68-77, 2019 | 345 | 2019 |
| The New Data and New Challenges in Multimedia Research B Thomee, DA Shamma, G Friedland, B Elizalde, K Ni, D Poland, D Borth, ... arXiv preprint arXiv:1503.01817, 2015 | 337 | 2015 |
| Multi-task Learning for Segmentation of Building Footprints with Deep Neural Networks B Bischke, P Helber, J Folz, D Borth, A Dengel 2019 IEEE International Conference on Image Processing (ICIP), 1480-1484, 2019 | 322 | 2019 |
| Sentibank: Large-scale Ontology and Classifiers for Detecting Sentiment and Emotions in Visual Content D Borth, T Chen, R Ji, SF Chang Proceedings of the 21st ACM international conference on Multimedia, 459-460, 2013 | 261 | 2013 |
| Introducing EuroSAT: a novel dataset and deep learning benchmark for land use and land cover classification P Helber, B Bischke, A Dengel, D Borth IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 249 | 2018 |
| Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks M Schreyer, T Sattarov, D Borth, A Dengel, B Reimer arXiv preprint arXiv:1709.05254, 2017 | 152 | 2017 |
| The Multimedia Satellite Task at Mediaeval 2017 B Bischke, P Helber, C Schulze, S Venkat, A Dengel, D Borth | 112 | 2017 |
| Self-Supervised Vision Transformers for Land-Cover Segmentation and Classification L Scheibenreif, J Hanna, M Mommert, D Borth Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 104 | 2022 |
| Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks. B Bischke, P Bhardwaj, A Gautam, P Helber, D Borth, A Dengel MediaEval, 2017 | 85 | 2017 |
| Analysis and Forecasting of Trending Topics in Online Media Streams T Althoff, D Borth, J Hees, A Dengel Proceedings of the 21st ACM international conference on Multimedia, 907-916, 2013 | 69 | 2013 |
| Keyframe Extraction for Video Tagging & Summarization. D Borth, A Ulges, C Schulze, TM Breuel Informatiktage 2008, 45-48, 2008 | 66 | 2008 |
| The Placing Task: A Large-Scale GEO-Estimation Challenge for Social-Media Videos and Images J Choi, B Thomee, G Friedland, L Cao, K Ni, D Borth, B Elizalde, ... Proceedings of the 3rd ACM Multimedia Workshop on Geotagging and Its …, 2014 | 55 | 2014 |
| Masked Vision Transformers for Hyperspectral Image Classification L Scheibenreif, M Mommert, D Borth Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 54 | 2023 |
| Real-time Analysis and Visualization of the YFCC100M dataset S Kalkowski, C Schulze, A Dengel, D Borth Proceedings of the 2015 Workshop on Community-Organized Multimodal Mining …, 2015 | 54 | 2015 |
| Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks M Schreyer, T Sattarov, C Schulze, B Reimer, D Borth KDD 2019 Workshop on Anomaly Detection in Finance, 2019 | 53 | 2019 |
| Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction K Schürholt, D Kostadinov, D Borth Neural Information Processing Systems (NeurIPS), 2021 | 51* | 2021 |
Andreas DengelProfessor of Computer Science, University of Kaiserslautern & Executive Director, DFKIVerified email at dfki.de
