Keyframe Extraction for Video Tagging & Summarization. - Damian Borth; Adrian Ulges; Christian Schulze 001; Thomas M. Breuel (Informatiktage, 2008)

Navidgator - Similarity Based Browsing for Image and Video Databases. - Damian Borth; Christian Schulze 001; Adrian Ulges; Thomas M. Breuel (KI, 2008)

TubeTagger - YouTube-based Concept Detection. - Adrian Ulges; Markus Koch; Damian Borth; Thomas M. Breuel (ICDM Workshops, 2009)

Video Copy Detection providing Localized Matches. - Damian Borth; Adrian Ulges; Christian Schulze 001; Thomas M. Breuel (Informatiktage, 2009)

TubeFiler: an automatic web video categorizer. - Damian Borth; Jörn Hees; Markus Koch; Adrian Ulges; Christian Schulze 001; Thomas M. Breuel; Roberto Paredes (ACM Multimedia, 2009)

DFKI-IUPR participation in TRECVID'09 High-level Feature Extraction Task. - Damian Borth; Markus Koch; Adrian Ulges; Thomas M. Breuel (TRECVID, 2009)

Keyframe Extraktion für Video-Annotation und Video-Zusammenfassung. - Damian Borth; Adrian Ulges; Christian Schulze 001; Thomas M. Breuel (Inform. Spektrum, 2009)

Relevance filtering meets active learning: improving web-based concept detectors. - Damian Borth; Adrian Ulges; Thomas M. Breuel (Multimedia Information Retrieval, 2010)

DFKI and University of Kaiserslautern participation at TRECVID 2010 - Semantic Indexing Task. - Damian Borth; Markus Koch; Thomas M. Breuel; Adrian Ulges (TRECVID, 2010)

Visual Concept Learning from Weakly Labeled Web Videos. - Adrian Ulges; Damian Borth; Thomas M. Breuel (Video Search and Mining, 2010)

Lookapp: interactive construction of web-based concept detectors. - Damian Borth; Adrian Ulges; Thomas M. Breuel (ICMR, 2011)

Automatic concept-to-query mapping for web-based concept detector training. - Damian Borth; Adrian Ulges; Thomas M. Breuel (ACM Multimedia, 2011)

Participation at TRECVID 2011 Semantic Indexing & Content-based Copy Detection Tasks. - Wan-Lei Zhao; Damian Borth; Thomas M. Breuel (TRECVID, 2011)

Linking visual concept detection with viewer demographics. - Adrian Ulges; Markus Koch; Damian Borth (ICMR, 2012)

Dynamic vocabularies for web-based concept detection by trend discovery. - Damian Borth; Adrian Ulges; Thomas M. Breuel (ACM Multimedia, 2012)

Tag suggestion on youtube by personalizing content-based auto-annotation. - Dominik Henter; Damian Borth; Adrian Ulges (CrowdMM@ACM Multimedia, 2012)

Analysis and forecasting of trending topics in online media streams. - Tim Althoff; Damian Borth; Jörn Hees; Andreas Dengel 001 (ACM Multimedia, 2013)

SentiBank: large-scale ontology and classifiers for detecting sentiment and emotions in visual content. - Damian Borth; Tao Chen 015; Rongrong Ji; Shih-Fu Chang (ACM Multimedia, 2013)

Large-scale visual sentiment ontology and detectors using adjective noun pairs. - Damian Borth; Rongrong Ji; Tao Chen 015; Thomas M. Breuel; Shih-Fu Chang (ACM Multimedia, 2013)

Content analysis meets viewers: linking concept detection with demographics on YouTube. - Adrian Ulges; Damian Borth; Markus Koch (Int. J. Multim. Inf. Retr., 2013)

Audio-concept features and hidden Markov models for multimedia event detection. - Benjamin Elizalde; Mirco Ravanelli; Karl Ni; Damian Borth; Gerald Friedland (SLAM@INTERSPEECH, 2014)

Automatic Detection of CSA Media by Multi-modal Feature Fusion for Law Enforcement Support. - Christian Schulze 001; Dominik Henter; Damian Borth; Andreas Dengel 001 (ICMR, 2014)

The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images. - Jaeyoung Choi 002; Bart Thomee; Gerald Friedland; Liangliang Cao; Karl Ni; Damian Borth; Benjamin Elizalde; Luke R. Gottlieb; Carmen Carrano; Roger A. Pearce; Douglas Poland (GeoMM, 2014)

DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks. - Tao Chen 015; Damian Borth; Trevor Darrell; Shih-Fu Chang (CoRR, 2014)

Visual Learning of Semantic Concepts in Social Multimedia. - Damian Borth (Künstliche Intell., 2014)

What Makes a Beautiful Landscape Beautiful: Adjective Noun Pairs Attention by Eye-Tracking and Gaze Analysis. - Mohammad Al-Naser; Seyyed Saleh Mozafari Chanijani; Syed Saqib Bukhari; Damian Borth; Andreas Dengel 001 (ASM@ACM Multimedia, 2015)

Kickstarting the Commons: The YFCC100M and the YLI Corpora. - Julia Bernd; Damian Borth; Carmen Carrano; Jaeyoung Choi 002; Benjamin Elizalde; Gerald Friedland; Luke R. Gottlieb; Karl Ni; Roger A. Pearce; Douglas Poland; Khalid Ashraf; David A. Shamma; et al. (MMCommons@ACM Multimedia, 2015)

Aesthetic Photo Enhancement using Machine Learning and Case-Based Reasoning. - Joachim Folz; Christian Schulze 001; Damian Borth; Andreas Dengel 001 (ASM@ACM Multimedia, 2015)

Real-time Analysis and Visualization of the YFCC100m Dataset. - Sebastian Kalkowski; Christian Schulze 001; Andreas Dengel 001; Damian Borth (MMCommons@ACM Multimedia, 2015)

The YLI-MED Corpus: Characteristics, Procedures, and Plans. - Julia Bernd; Damian Borth; Benjamin Elizalde; Gerald Friedland; Heather Gallagher; Luke R. Gottlieb; Adam Janin; Sara Karabashlieva; Jocelyn Takahashi; Jennifer Won (CoRR, 2015)

Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets. - Takuya Narihira; Damian Borth; Stella X. Yu; Karl Ni; Trevor Darrell (CoRR, 2015)

Large-Scale Deep Learning on the YFCC100M Dataset. - Karl Ni; Roger A. Pearce; Kofi Boakye; Brian Van Essen; Damian Borth; Barry Chen; Eric X. Wang (CoRR, 2015)

The New Data and New Challenges in Multimedia Research. - Bart Thomee; David A. Shamma; Gerald Friedland; Benjamin Elizalde; Karl Ni; Douglas Poland; Damian Borth; Li-Jia Li 001 (CoRR, 2015)

Visual Learning of Socio-Video Semantics. - Damian Borth (2015)

An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs - Finding Patterns for Human Associations in DBpedia. - Jörn Hees; Rouven Bauer; Joachim Folz; Damian Borth; Andreas Dengel 001 (EKAW, 2016)

Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. - Jörn Hees; Rouven Bauer; Joachim Folz; Damian Borth; Andreas Dengel 001 (ESWC (Satellite Events), 2016)

Erratum to: Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. - Jörn Hees; Rouven Bauer; Joachim Folz; Damian Borth; Andreas Dengel 001 (ESWC (Satellite Events), 2016)

A Tesseract-based OCR framework for historical documents lacking ground-truth text. - Brennan Nunamaker; Syed Saqib Bukhari; Damian Borth; Andreas Dengel 001 (ICIP, 2016)

An eye movement study on scientific papers using wearable eye tracking technology. - Seyyed Saleh Mozaffari Chanijani; Mohammad Al-Naser; Syed Saqib Bukhari; Damian Borth; Shanley E. M. Alleny; Andreas Dengel 001 (ICMU, 2016)

Trending Topic Aggregation by News-Based Context Modeling. - Sebastian Fuchs; Damian Borth; Adrian Ulges (KI, 2016)

Introducing Concept And Syntax Transition Networks for Image Captioning. - Philipp Blandfort; Tushar Karayil; Damian Borth; Andreas Dengel 001 (ICMR, 2016)

Contextual Enrichment of Remote-Sensed Events with Social Media Streams. - Benjamin Bischke; Damian Borth; Christian Schulze 001; Andreas Dengel 001 (ACM Multimedia, 2016)

Generating Affective Captions using Concept And Syntax Transition Networks. - Tushar Karayil; Philipp Blandfort; Damian Borth; Andreas Dengel 001 (ACM Multimedia, 2016)

Which Languages do People Speak on Flickr?: A Language and Geo-Location Study of the YFCC100m Dataset. - Alireza Koochali; Sebastian Kalkowski; Andreas Dengel 001; Damian Borth; Christian Schulze 001 (MMCommons @ ACM Multimedia, 2016)

Multimedia COMMONS Workshop 2016 (MMCommons 2016): Datasets, Evaluation, and Reproducibility. - Bart Thomee; Damian Borth; Julia Bernd (ACM Multimedia, 2016)

YFCC100M: the new data in multimedia research. - Bart Thomee; David A. Shamma; Gerald Friedland; Benjamin Elizalde; Karl Ni; Douglas Poland; Damian Borth; Li-Jia Li 001 (Commun. ACM, 2016)

AudioSentibank: Large-scale Semantic Ontology of Acoustic Concepts for Audio Content Analysis. - Sebastian Säger; Damian Borth; Benjamin Elizalde; Christian Schulze 001; Bhiksha Raj; Ian R. Lane; Andreas Dengel 001 (CoRR, 2016)

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 001 (ICAART (2), 2017)

Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks. - Benjamin Bischke; Prakriti Bhardwaj; Aman Gautam; Patrick Helber; Damian Borth; Andreas Dengel 001 (MediaEval, 2017)

The Multimedia Satellite Task at MediaEval 2017. - Benjamin Bischke; Patrick Helber; Christian Schulze 001; Venkat Srinivasan; Andreas Dengel 001; Damian Borth (MediaEval, 2017)

Image Captioning in the Wild: How People Caption Images on Flickr. - Philipp Blandfort; Tushar Karayil; Damian Borth; Andreas Dengel 001 (MUSA2@MM, 2017)

Social Multimedia Sentiment Analysis. - Jiebo Luo 001; Damian Borth; Quanzeng You (ACM Multimedia, 2017)

Predicting Human Associations with Graph Patterns Learned from Linked Data. - Jörn Hees; Rouven Bauer; Joachim Folz; Damian Borth; Andreas Dengel 001 (ISWC (Posters, Demos & Industry Tracks), 2017)

Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks. - Marco Schreyer; Timur Sattarov; Damian Borth; Andreas Dengel 001; Bernd Reimer (CoRR, 2017)

Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Ver. - Mario Michael Krell; Julia Bernd; Yifan Li; Daniel Ma; Jaeyoung Choi 002; Michael Ellsworth; Damian Borth; Gerald Friedland (CoRR, 2017)

Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. - Benjamin Bischke; Patrick Helber; Florian Koenig; Damian Borth; Andreas Dengel 001 (CBMI, 2018)

What Do Deep Networks Like to See? - Sebastian Palacio; Joachim Folz; Jörn Hees; Federico Raue; Damian Borth; Andreas Dengel 001 (CVPR, 2018)

Saliency based Adjective Noun Pair Detection System. - Marco Stricker; Syed Saqib Bukhari; Damian Borth; Andreas Dengel 001 (ICAART (2), 2018)

Segmentation of Imbalanced Classes in Satellite Imagery using Adaptive Uncertainty Weighted Class Loss. - Benjamin Bischke; Patrick Helber; Damian Borth; Andreas Dengel 001 (IGARSS, 2018)

Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. - Patrick Helber; Benjamin Bischke; Andreas Dengel 001; Damian Borth (IGARSS, 2018)

The Multimedia Satellite Task at MediaEval 2018. - Benjamin Bischke; Patrick Helber; Zhengyu Zhao 001; Jens de Bruijn; Damian Borth (MediaEval, 2018)

Adversarial Defense based on Structure-to-Signal Autoencoders. - Joachim Folz; Sebastian Palacio; Jörn Hees; Damian Borth; Andreas Dengel 001 (CoRR, 2018)

AudioPairBank: towards a large-scale tag-pair-based audio content analysis. - Sebastian Säger; Benjamin Elizalde; Damian Borth; Christian Schulze 001; Bhiksha Raj; Ian R. Lane (EURASIP J. Audio Speech Music. Process., 2018)

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. - Patrick Helber; Benjamin Bischke; Andreas Dengel 001; Damian Borth (Zenodo, 2018)

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. - Patrick Helber; Benjamin Bischke; Andreas Dengel 001; Damian Borth (Zenodo, 2018)

Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. - Benjamin Bischke; Patrick Helber; Joachim Folz; Damian Borth; Andreas Dengel 001 (ICIP, 2019)

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks. - Marco Schreyer; Timur Sattarov; Christian Schulze 001; Bernd Reimer; Damian Borth (CoRR, 2019)

Adversarial Learning of Deepfakes in Accounting. - Marco Schreyer; Timur Sattarov; Bernd Reimer; Damian Borth (CoRR, 2019)

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. - Patrick Helber; Benjamin Bischke; Andreas Dengel 001; Damian Borth (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Learning sampling in financial statement audits using vector quantised variational autoencoder neural networks. - Marco Schreyer; Timur Sattarov; Anita Gierbl; Bernd Reimer; Damian Borth (ICAIF, 2020)

Neural Networks and Value at Risk. - Alexander Arimond; Damian Borth; Andreas Hoepner; Michael Klawunn; Stefan Weisheit (CoRR, 2020)

An Investigation of the Weight Space for Version Control of Neural Networks. - Konstantin Schürholt; Damian Borth (CoRR, 2020)

Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks. - Marco Schreyer; Timur Sattarov; Anita Gierbl; Bernd Reimer; Damian Borth (CoRR, 2020)

Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination. - Léa Steinacker; Miriam Meckel; Genia Kostka; Damian Borth (CoRR, 2020)

Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement. - Hamed Hemati; Damian Borth (CoRR, 2020)

Characterization of Industrial Smoke Plumes from Remote Sensing Data. - Michael Mommert; Mario Sigel; Marcel Neuhausler; Linus Scheibenreif; Damian Borth (CoRR, 2020)

Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks. - Marco Schreyer; Christian Schulze 001; Damian Borth (CoRR, 2020)

Management von Künstlicher Intelligenz in Unternehmen. - Benjamin van Giffen; Damian Borth; Walter Brenner (HMD Prax. Wirtsch., 2020)

Multi-view contrastive self-supervised learning of accounting data representations for downstream audit tasks. - Marco Schreyer; Timur Sattarov; Damian Borth (ICAIF, 2021)

Power Plant Classification from Remote Imaging with Deep Learning. - Michael Mommert; Linus Scheibenreif; Joëlle Hanna; Damian Borth (IGARSS, 2021)

A Novel Dataset and Benchmark for Surface No2 Prediction from Remote Sensing Data Including Covid Lockdown Measures. - Linus Scheibenreif; Michael Mommert; Damian Borth (IGARSS, 2021)

Learning Interpretable Concept Groups in CNNs. - Saurabh Varshneya; Antoine Ledent; Robert A. Vandermeulen; Yunwen Lei; Matthias Enders; Damian Borth; Marius Kloft (IJCAI, 2021)

Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction. - Konstantin Schürholt; Dimche Kostadinov; Damian Borth (NeurIPS, 2021)

Continual Speaker Adaptation for Text-to-Speech Synthesis. - Hamed Hemati; Damian Borth (CoRR, 2021)

NoiseVC: Towards High Quality Zero-Shot Voice Conversion. - Shijun Wang; Damian Borth (CoRR, 2021)

Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space. - Linus Scheibenreif; Michael Mommert; Damian Borth (CoRR, 2021)

Heterogeneous Ensemble for ESG Ratings Prediction. - Tim Krappel; Alex Bogun; Damian Borth (CoRR, 2021)

Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning. - Shijun Wang; Dimche Kostadinov; Damian Borth (CoRR, 2021)

Saliency Diversified Deep Ensemble for Robustness to Adversaries. - Alex Bogun; Dimche Kostadinov; Damian Borth (CoRR, 2021)

Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data. - Hamed Hemati; Marco Schreyer; Damian Borth (CoRR, 2021)

Self-supervised Vision Transformers for Land-cover Segmentation and Classification. - Linus Scheibenreif; Joëlle Hanna; Michael Mommert; Damian Borth (CVPR Workshops, 2022)

RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations. - Ricardo Müller; Marco Schreyer; Timur Sattarov; Damian Borth (ICAIF, 2022)

Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits. - Marco Schreyer; Timur Sattarov; Damian Borth (ICAIF, 2022)

Traffic Noise Estimation from Satellite Imagery with Deep Learning. - Leonardo Eicher; Michael Mommert; Damian Borth (IGARSS, 2022)

A Multimodal Approach for Event Detection: Study of UK Lockdowns in the Year 2020. - Joëlle Hanna; Linus Scheibenreif; Michael Mommert; Damian Borth (IGARSS, 2022)

Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning. - Shijun Wang; Damian Borth (IJCNN, 2022)

Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition. - Shijun Wang; Hamed Hemati; Jón Guðnason; Damian Borth (INTERSPEECH, 2022)

Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. - Konstantin Schürholt; Boris Knyazev; Xavier Giró-i-Nieto; Damian Borth (NeurIPS, 2022)

Model Zoos: A Dataset of Diverse Populations of Neural Network Models. - Konstantin Schürholt; Diyar Taskiran; Boris Knyazev; Xavier Giró-i-Nieto; Damian Borth (NeurIPS, 2022)

Hyper-Representations for Pre-Training and Transfer Learning. - Konstantin Schürholt; Boris Knyazev; Xavier Giró-i-Nieto; Damian Borth (CoRR, 2022)

Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing. - Marco Schreyer; Hamed Hemati; Damian Borth; Miklos A. Vasarhelyi (CoRR, 2022)

Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing. - Linus Scheibenreif; Michael Mommert; Damian Borth (IEEE Trans. Geosci. Remote. Sens., 2022)

Class-Incremental Learning with Repetition. - Hamed Hemati; Andrea Cossu; Antonio Carta; Julio Hurtado; Lorenzo Pellegrini; Davide Bacciu; Vincenzo Lomonaco; Damian Borth (CoLLAs, 2023)

Partial Hypernetworks for Continual Learning. - Hamed Hemati; Vincenzo Lomonaco; Davide Bacciu; Damian Borth (CoLLAs, 2023)

Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation. - Joëlle Hanna; Michael Mommert; Damian Borth (CVPR Workshops, 2023)

Masked Vision Transformers for Hyperspectral Image Classification. - Linus Scheibenreif; Michael Mommert; Damian Borth (CVPR Workshops, 2023)

FinDiff: Diffusion Models for Financial Tabular Data Generation. - Timur Sattarov; Marco Schreyer; Damian Borth (ICAIF, 2023)

Fine-Grained Emotional Control of Text-to-Speech: Learning to Rank Inter- and Intra-Class Emotion Intensities. - Shijun Wang; Jón Guðnason; Damian Borth (ICASSP, 2023)

Eurosat Model Zoo: A Dataset and Benchmark on Populations of Neural Networks and Its Sparsified Model Twins. - Dominik Honegger; Konstantin Schürholt; Linus Scheibenreif; Damian Borth (IGARSS, 2023)

Dataset Distillation for Eurosat. - Julius Lautz; Daniel Leal; Linus Scheibenreif; Damian Borth; Michael Mommert (IGARSS, 2023)

Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data. - Michael Mommert; Nicolas Kesseli; Joëlle Hanna; Linus Scheibenreif; Damian Borth; Begüm Demir (IGARSS, 2023)

Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech. - Shijun Wang; Jón Guðnason; Damian Borth (INTERSPEECH, 2023)

Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models. - Dominik Honegger; Konstantin Schürholt; Damian Borth (CoRR, 2023)

Transformer-based Entity Legal Form Classification. - Alexander Arimond; Mauro Molteni; Dominik Jany; Zornitsa Manolova; Damian Borth; Andreas G. F. Hoepner (CoRR, 2023)

Physics-Guided Multitask Learning for Estimating Power Generation and CO2 Emissions From Satellite Imagery. - Joëlle Hanna; Damian Borth; Michael Mommert (IEEE Trans. Geosci. Remote. Sens., 2023)

ben-ge/ERA-5: BigEarthNet Extended with Geographical and Environmental Data/Environmental Data. - Michael Mommert; Nicolas Kesseli; Joëlle Hanna; Linus Scheibenreif; Damian Borth; Begüm Demir (Zenodo, 2023)

ben-ge/DEM: BigEarthNet Extended with Geographical and Environmental Data/Elevation Data. - Michael Mommert; Nicolas Kesseli; Joëlle Hanna; Linus Scheibenreif; Damian Borth; Begüm Demir (Zenodo, 2023)

ben-ge/ESAWorldCover: BigEarthNet Extended with Geographical and Environmental Data/Land-use/land-cover Data. - Michael Mommert; Nicolas Kesseli; Joëlle Hanna; Linus Scheibenreif; Damian Borth; Begüm Demir (Zenodo, 2023)

ben-ge-8k: BigEarthNet Extended with Geographical and Environmental Data. - Michael Mommert; Nicolas Kesseli; Joëlle Hanna; Linus Scheibenreif; Damian Borth; Begüm Demir (Zenodo, 2023)

ben-ge/ERA-5: BigEarthNet Extended with Geographical and Environmental Data/Environmental Data. - Michael Mommert; Nicolas Kesseli; Joëlle Hanna; Linus Scheibenreif; Damian Borth; Begüm Demir (Zenodo, 2023)

Parameter Efficient Self-Supervised Geospatial Domain Adaptation. - Linus Scheibenreif; Michael Mommert; Damian Borth (CVPR, 2024)

Towards Scalable and Versatile Weight Space Learning. - Konstantin Schürholt; Michael W. Mahoney; Damian Borth (ICML, 2024)

Merging Patches and Tokens: A VQA System for Remote Sensing. - Damian Falk; Kaan Aydin; Linus Scheibenreif; Damian Borth (IGARSS, 2024)

Less is More: Active Self-Supervised Learning in Remote Sensing. - Xuemei Jiang; Linus Scheibenreif; Damian Borth (IGARSS, 2024)

Multi-Modal Diffusion for Self-Supervised Pretraining. - Alexander Lontke; Michael Mommert; Damian Borth (IGARSS, 2024)

FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation. - Timur Sattarov; Marco Schreyer; Damian Borth (CoRR, 2024)

Sample Weight Estimation Using Meta-Updates for Online Continual Learning. - Hamed Hemati; Damian Borth (CoRR, 2024)

Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities. - Zhitong Xiong; Yi Wang 072; Fahong Zhang 001; Adam J. Stewart; Joëlle Hanna; Damian Borth; Ioannis Papoutsis; Bertrand Le Saux; Gustau Camps-Valls; Xiao Xiang Zhu 001 (CoRR, 2024)

GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs. - Kristófer Reynisson; Marco Schreyer; Damian Borth (CoRR, 2024)

Differentially Private Federated Learning of Diffusion Models for Synthetic Tabular Data Generation. - Timur Sattarov; Marco Schreyer; Damian Borth (CoRR, 2024)

Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction. - Léo Meynent; Ivan Melev; Konstantin Schürholt; Göran Kauermann; Damian Borth (CoRR, 2025)

The Impact of Model Zoo Size and Composition on Weight Space Learning. - Damian Falk; Konstantin Schürholt; Damian Borth (CoRR, 2025)

A Model Zoo of Vision Transformers. - Damian Falk; Léo Meynent; Florence Pfammatter; Konstantin Schürholt; Damian Borth (CoRR, 2025)

SAR-to-RGB Translation with Latent Diffusion for Earth Observation. - Kaan Aydin; Joëlle Hanna; Damian Borth (CoRR, 2025)

Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space. - Ruben Gonzalez Avilés; Linus Scheibenreif; Nassim Ait Ali Braham; Benedikt Blumenstiel; Thomas Brunschwiler; Ranjini B. Guruprasad; Damian Borth; Conrad M. Albrecht; Paolo Fraccaro; Devyani Lambhate; Johannes Jakubik (CoRR, 2025)

Dense Air Pollution Estimation from Sparse in-situ Measurements and Satellite Data. - Ruben Gonzalez Avilés; Linus Scheibenreif; Damian Borth (CoRR, 2025)

A Model Zoo on Phase Transitions in Neural Networks. - Konstantin Schürholt; Léo Meynent; Yefan Zhou; Haiquan Lu; Yaoqing Yang; Damian Borth (CoRR, 2025)

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights. - Zhiyuan Liang; Dongwen Tang; Yuhao Zhou; Xuanlei Zhao; Mingjia Shi; Wangbo Zhao; Zekai Li; Peihao Wang; Konstantin Schürholt; Damian Borth; Michael M. Bronstein; Yang You 001; et al. (CoRR, 2025)

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation. - Joëlle Hanna; Damian Borth (CoRR, 2025)

MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models. - Joëlle Hanna; Linus Scheibenreif; Damian Borth (CoRR, 2025)

Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data. - Timur Sattarov; Marco Schreyer; Damian Borth (CoRR, 2025)