Damian Borth

Orcid: 0000-0002-4660-2627

Affiliations:
  • University of St.Gallen, Switzerland
  • DFKI, Kaiserslautern, Germany (former)


According to our database1, Damian Borth authored at least 124 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs.
CoRR, 2024

Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities.
CoRR, 2024

Sample Weight Estimation Using Meta-Updates for Online Continual Learning.
CoRR, 2024

FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation.
CoRR, 2024

Multi-Modal Diffusion for Self-Supervised Pretraining.
Proceedings of the IGARSS 2024, 2024

Less is More: Active Self-Supervised Learning in Remote Sensing.
Proceedings of the IGARSS 2024, 2024

Merging Patches and Tokens: A VQA System for Remote Sensing.
Proceedings of the IGARSS 2024, 2024

Towards Scalable and Versatile Weight Space Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Parameter Efficient Self-Supervised Geospatial Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Physics-Guided Multitask Learning for Estimating Power Generation and CO<sub>2</sub> Emissions From Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2023

Transformer-based Entity Legal Form Classification.
CoRR, 2023

Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models.
CoRR, 2023

Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Dataset Distillation for Eurosat.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Eurosat Model Zoo: A Dataset and Benchmark on Populations of Neural Networks and Its Sparsified Model Twins.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Fine-Grained Emotional Control of Text-to-Speech: Learning to Rank Inter- and Intra-Class Emotion Intensities.
Proceedings of the IEEE International Conference on Acoustics, 2023

FinDiff: Diffusion Models for Financial Tabular Data Generation.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Masked Vision Transformers for Hyperspectral Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Partial Hypernetworks for Continual Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2023

Class-Incremental Learning with Repetition.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
Toward Global Estimation of Ground-Level NO<sub>2</sub> Pollution With Deep Learning and Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2022

Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing.
CoRR, 2022

Hyper-Representations for Pre-Training and Transfer Learning.
CoRR, 2022

Model Zoos: A Dataset of Diverse Populations of Neural Network Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Multimodal Approach for Event Detection: Study of UK Lockdowns in the Year 2020.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Traffic Noise Estimation from Satellite Imagery with Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Self-supervised Vision Transformers for Land-cover Segmentation and Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data.
CoRR, 2021

Saliency Diversified Deep Ensemble for Robustness to Adversaries.
CoRR, 2021

Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning.
CoRR, 2021

Heterogeneous Ensemble for ESG Ratings Prediction.
CoRR, 2021

Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space.
CoRR, 2021

NoiseVC: Towards High Quality Zero-Shot Voice Conversion.
CoRR, 2021

Continual Speaker Adaptation for Text-to-Speech Synthesis.
CoRR, 2021

Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Interpretable Concept Groups in CNNs.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Novel Dataset and Benchmark for Surface No2 Prediction from Remote Sensing Data Including Covid Lockdown Measures.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Power Plant Classification from Remote Imaging with Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Multi-view contrastive self-supervised learning of accounting data representations for downstream audit tasks.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020
Management von Künstlicher Intelligenz in Unternehmen.
HMD Prax. Wirtsch., 2020

Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks.
CoRR, 2020

Characterization of Industrial Smoke Plumes from Remote Sensing Data.
CoRR, 2020

Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement.
CoRR, 2020

Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination.
CoRR, 2020

Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks.
CoRR, 2020

An Investigation of the Weight Space for Version Control of Neural Networks.
CoRR, 2020

Neural Networks and Value at Risk.
CoRR, 2020

Learning sampling in financial statement audits using vector quantised variational autoencoder neural networks.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2019
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Adversarial Learning of Deepfakes in Accounting.
CoRR, 2019

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks.
CoRR, 2019

Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification.
Dataset, July, 2018

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification.
Dataset, July, 2018

AudioPairBank: towards a large-scale tag-pair-based audio content analysis.
EURASIP J. Audio Speech Music. Process., 2018

Adversarial Defense based on Structure-to-Signal Autoencoders.
CoRR, 2018

The Multimedia Satellite Task at MediaEval 2018.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Segmentation of Imbalanced Classes in Satellite Imagery using Adaptive Uncertainty Weighted Class Loss.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Saliency based Adjective Noun Pair Detection System.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

What Do Deep Networks Like to See?
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation.
Proceedings of the 2018 International Conference on Content-Based Multimedia Indexing, 2018

2017
Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Ver.
CoRR, 2017

Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks.
CoRR, 2017

Predicting Human Associations with Graph Patterns Learned from Linked Data.
Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 2017

Social Multimedia Sentiment Analysis.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Image Captioning in the Wild: How People Caption Images on Flickr.
Proceedings of the Workshop on Multimodal Understanding of Social, 2017

The Multimedia Satellite Task at MediaEval 2017.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Which Saliency Detection Method is the Best to Estimate the Human Attention for Adjective Noun Concepts?.
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

2016
AudioSentibank: Large-scale Semantic Ontology of Acoustic Concepts for Audio Content Analysis.
CoRR, 2016

YFCC100M: the new data in multimedia research.
Commun. ACM, 2016

Multimedia COMMONS Workshop 2016 (MMCommons 2016): Datasets, Evaluation, and Reproducibility.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Which Languages do People Speak on Flickr?: A Language and Geo-Location Study of the YFCC100m Dataset.
Proceedings of the 2016 ACM Workshop on Multimedia COMMONS, 2016

Generating Affective Captions using Concept And Syntax Transition Networks.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Contextual Enrichment of Remote-Sensed Events with Social Media Streams.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Introducing Concept And Syntax Transition Networks for Image Captioning.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Trending Topic Aggregation by News-Based Context Modeling.
Proceedings of the KI 2016: Advances in Artificial Intelligence, 2016

An eye movement study on scientific papers using wearable eye tracking technology.
Proceedings of the Ninth International Conference on Mobile Computing and Ubiquitous Networking, 2016

A Tesseract-based OCR framework for historical documents lacking ground-truth text.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Erratum to: Edinburgh Associative Thesaurus as RDF and DBpedia Mapping.
Proceedings of the Semantic Web - ESWC 2016 Satellite Events, Heraklion, Crete, Greece, May 29, 2016

Edinburgh Associative Thesaurus as RDF and DBpedia Mapping.
Proceedings of the Semantic Web - ESWC 2016 Satellite Events, Heraklion, Crete, Greece, May 29, 2016

An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs - Finding Patterns for Human Associations in DBpedia.
Proceedings of the Knowledge Engineering and Knowledge Management, 2016

2015
Visual Learning of Socio-Video Semantics.
PhD thesis, 2015

The New Data and New Challenges in Multimedia Research.
CoRR, 2015

Large-Scale Deep Learning on the YFCC100M Dataset.
CoRR, 2015

Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets.
CoRR, 2015

The YLI-MED Corpus: Characteristics, Procedures, and Plans.
CoRR, 2015

Real-time Analysis and Visualization of the YFCC100m Dataset.
Proceedings of the 2015 Workshop on Community-Organized Multimodal Mining: Opportunities for Novel Solutions, 2015

Aesthetic Photo Enhancement using Machine Learning and Case-Based Reasoning.
Proceedings of the 1st International Workshop on Affect & Sentiment in Multimedia, 2015

Kickstarting the Commons: The YFCC100M and the YLI Corpora.
Proceedings of the 2015 Workshop on Community-Organized Multimodal Mining: Opportunities for Novel Solutions, 2015

What Makes a Beautiful Landscape Beautiful: Adjective Noun Pairs Attention by Eye-Tracking and Gaze Analysis.
Proceedings of the 1st International Workshop on Affect & Sentiment in Multimedia, 2015

2014
Visual Learning of Semantic Concepts in Social Multimedia.
Künstliche Intell., 2014

DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks.
CoRR, 2014

The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images.
Proceedings of the 3rd ACM Multimedia Workshop on Geotagging and Its Applications in Multimedia, 2014

Automatic Detection of CSA Media by Multi-modal Feature Fusion for Law Enforcement Support.
Proceedings of the International Conference on Multimedia Retrieval, 2014

Audio-concept features and hidden Markov models for multimedia event detection.
Proceedings of the 2nd International Workshop on Speech, Language and Audio in Multimedia, 2014

2013
Content analysis meets viewers: linking concept detection with demographics on YouTube.
Int. J. Multim. Inf. Retr., 2013

Large-scale visual sentiment ontology and detectors using adjective noun pairs.
Proceedings of the ACM Multimedia Conference, 2013

SentiBank: large-scale ontology and classifiers for detecting sentiment and emotions in visual content.
Proceedings of the ACM Multimedia Conference, 2013

Analysis and forecasting of trending topics in online media streams.
Proceedings of the ACM Multimedia Conference, 2013

2012
Tag suggestion on youtube by personalizing content-based auto-annotation.
Proceedings of the ACM multimedia 2012 workshop on Crowdsourcing for multimedia, 2012

Dynamic vocabularies for web-based concept detection by trend discovery.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Linking visual concept detection with viewer demographics.
Proceedings of the International Conference on Multimedia Retrieval, 2012

2011
Participation at TRECVID 2011 Semantic Indexing & Content-based Copy Detection Tasks.
Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

Automatic concept-to-query mapping for web-based concept detector training.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Lookapp: interactive construction of web-based concept detectors.
Proceedings of the 1st International Conference on Multimedia Retrieval, 2011

2010
Visual Concept Learning from Weakly Labeled Web Videos.
Proceedings of the Video Search and Mining, 2010

DFKI and University of Kaiserslautern participation at TRECVID 2010 - Semantic Indexing Task.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

Relevance filtering meets active learning: improving web-based concept detectors.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

2009
Keyframe Extraktion für Video-Annotation und Video-Zusammenfassung.
Inform. Spektrum, 2009

DFKI-IUPR participation in TRECVID'09 High-level Feature Extraction Task.
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

TubeFiler: an automatic web video categorizer.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Video Copy Detection providing Localized Matches.
Proceedings of the Informatiktage 2009, 2009

TubeTagger - YouTube-based Concept Detection.
Proceedings of the ICDM Workshops 2009, 2009

2008
Navidgator - Similarity Based Browsing for Image and Video Databases.
Proceedings of the KI 2008: Advances in Artificial Intelligence, 2008

Keyframe Extraction for Video Tagging & Summarization.
Proceedings of the Informatiktage 2008, 2008


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