| 2025 | ICCV | Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation. | Jolle Hanna, Damian Borth |
| 2025 | KDD | Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data. | Timur Sattarov, Marco Schreyer, Damian Borth |
| 2024 | CVPR | Parameter Efficient Self-Supervised Geospatial Domain Adaptation. | Linus Scheibenreif, Michael Mommert, Damian Borth |
| 2024 | ICML | Towards Scalable and Versatile Weight Space Learning. | Konstantin Schrholt, Michael W. Mahoney, Damian Borth |
| 2024 | IGARSS | Merging Patches and Tokens: A VQA System for Remote Sensing. | Damian Falk, Kaan Aydin, Linus Scheibenreif, Damian Borth |
| 2024 | IGARSS | Less is More: Active Self-Supervised Learning in Remote Sensing. | Xuemei Jiang, Linus Scheibenreif, Damian Borth |
| 2024 | IGARSS | Multi-Modal Diffusion for Self-Supervised Pretraining. | Alexander Lontke, Michael Mommert, Damian Borth |
| 2023 | CVPR | Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation. | Jolle Hanna, Michael Mommert, Damian Borth |
| 2023 | CVPR | Masked Vision Transformers for Hyperspectral Image Classification. | Linus Scheibenreif, Michael Mommert, Damian Borth |
| 2023 | ICASSP | Fine-Grained Emotional Control of Text-to-Speech: Learning to Rank Inter- and Intra-Class Emotion Intensities. | Shijun Wang, Jn Gunason, Damian Borth |
| 2023 | IGARSS | Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data. | Michael Mommert, Nicolas Kesseli, Jolle Hanna, Linus Scheibenreif, Damian Borth, Begm Demir |
| 2023 | Interspeech | Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech. | Shijun Wang, Jn Gunason, Damian Borth |
| 2023 | IGARSS | Eurosat Model Zoo: A Dataset and Benchmark on Populations of Neural Networks and Its Sparsified Model Twins. | Dominik Honegger, Konstantin Schrholt, Linus Scheibenreif, Damian Borth |
| 2023 | IGARSS | Dataset Distillation for Eurosat. | Julius Lautz, Daniel Leal, Linus Scheibenreif, Damian Borth, Michael Mommert |
| 2022 | CVPR | Self-supervised Vision Transformers for Land-cover Segmentation and Classification. | Linus Scheibenreif, Jolle Hanna, Michael Mommert, Damian Borth |
| 2022 | IJCNN | Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning. | Shijun Wang, Damian Borth |
| 2022 | Interspeech | Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition. | Shijun Wang, Hamed Hemati, Jn Gunason, Damian Borth |
| 2022 | IGARSS | Traffic Noise Estimation from Satellite Imagery with Deep Learning. | Leonardo Eicher, Michael Mommert, Damian Borth |
| 2022 | IGARSS | A Multimodal Approach for Event Detection: Study of UK Lockdowns in the Year 2020. | Jolle Hanna, Linus Scheibenreif, Michael Mommert, Damian Borth |
| 2021 | IGARSS | Power Plant Classification from Remote Imaging with Deep Learning. | Michael Mommert, Linus Scheibenreif, Jolle Hanna, Damian Borth |
| 2021 | IGARSS | A Novel Dataset and Benchmark for Surface No2 Prediction from Remote Sensing Data Including Covid Lockdown Measures. | Linus Scheibenreif, Michael Mommert, Damian Borth |
| 2021 | IJCAI | Learning Interpretable Concept Groups in CNNs. | Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft |
| 2019 | ICIP | Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. | Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, Andreas Dengel |
| 2018 | CBMI | Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. | Benjamin Bischke, Patrick Helber, Florian Koenig, Damian Borth, Andreas Dengel |
| 2018 | CVPR | What Do Deep Networks Like to See? | Sebastian Palacio, Joachim Folz, Jrn Hees, Federico Raue, Damian Borth, Andreas Dengel |
| 2018 | ICAART | Saliency based Adjective Noun Pair Detection System. | Marco Stricker, Syed Saqib Bukhari, Damian Borth, Andreas Dengel |
| 2018 | IGARSS | Segmentation of Imbalanced Classes in Satellite Imagery using Adaptive Uncertainty Weighted Class Loss. | Benjamin Bischke, Patrick Helber, Damian Borth, Andreas Dengel |
| 2018 | IGARSS | Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. | Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth |
| 2017 | ICAART | Which Saliency Detection Method is the Best to Estimate the Human Attention for Adjective Noun Concepts?. | Marco Stricker, Syed Saqib Bukhari, Mohammad Al-Naser, Seyyed Saleh Mozafari Chanijani, Damian Borth, Andreas Dengel |
| 2016 | EKAW | An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs - Finding Patterns for Human Associations in DBpedia. | Jrn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel |
| 2016 | ICIP | A Tesseract-based OCR framework for historical documents lacking ground-truth text. | Brennan Nunamaker, Syed Saqib Bukhari, Damian Borth, Andreas Dengel |
| 2016 | KI | Trending Topic Aggregation by News-Based Context Modeling. | Sebastian Fuchs, Damian Borth, Adrian Ulges |
| 2014 | Interspeech | Audio-concept features and hidden Markov models for multimedia event detection. | Benjamin Elizalde, Mirco Ravanelli, Karl Ni, Damian Borth, Gerald Friedland |
| 2009 | ICDM | TubeTagger - YouTube-based Concept Detection. | Adrian Ulges, Markus Koch, Damian Borth, Thomas M. Breuel |
| 2008 | KI | Navidgator - Similarity Based Browsing for Image and Video Databases. | Damian Borth, Christian Schulze, Adrian Ulges, Thomas M. Breuel |