Damian Borth - RankMe

163 papers A* 17A 2B 8C 13Misc 3Journal 81Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Weight Space Learning: Understanding, Representation, and Generation. CoRR Xiaolong Han, Zehong Wang, Bo Zhao, Binchi Zhang, Jundong Li, Damian Borth, Rose Yu, Haggai Maron, Yanfang Ye, Lu Yin, Ferrante Neri
2026	J	`jnl`	GeoSANE: Learning Geospatial Representations from Models, Not Data. CoRR Joëlle Hanna, Damian Falk, Stella X. Yu, Damian Borth
2025	J	`jnl`	A Model Zoo of Vision Transformers. CoRR Damian Falk, Léo Meynent, Florence Pfammatter, Konstantin Schürholt, Damian Borth
2025	J	`jnl`	A Model Zoo on Phase Transitions in Neural Networks. CoRR Konstantin Schürholt, Léo Meynent, Yefan Zhou, Haiquan Lu, Yaoqing Yang, Damian Borth
2025	J	`jnl`	A Model Zoo on Phase Transitions in Neural Networks. J. Data-centric Mach. Learn. Res. Konstantin Schürholt, Léo Meynent, Yefan Zhou, Haiquan Lu, Yaoqing Yang, Damian Borth
2025	J	`jnl`	Dense Air Pollution Estimation from Sparse in-situ Measurements and Satellite Data. CoRR Ruben Gonzalez Avilés, Linus Scheibenreif, Damian Borth
2025	—	`conf`	Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data. KDD (2) Timur Sattarov, Marco Schreyer, Damian Borth
2025	J	`jnl`	Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data. CoRR Timur Sattarov, Marco Schreyer, Damian Borth
2025	J	`jnl`	Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights. CoRR 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, Zhangyang Wang, Kai Wang
2025	J	`jnl`	Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space. CoRR 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
2025	J	`jnl`	Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation. CoRR Joëlle Hanna, Damian Borth
2025	J	`jnl`	Learning Model Representations Using Publicly Available Model Hubs. CoRR Damian Falk, Konstantin Schürholt, Konstantinos Tzevelekakis, Léo Meynent, Damian Borth
2025	J	`jnl`	MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models. CoRR Joëlle Hanna, Linus Scheibenreif, Damian Borth
2025	J	`jnl`	Privacy Preserving Diffusion Models for Mixed-Type Tabular Data Generation. CoRR Timur Sattarov, Marco Schreyer, Damian Borth
2025	J	`jnl`	SAR-to-RGB Translation with Latent Diffusion for Earth Observation. CoRR Kaan Aydin, Joëlle Hanna, Damian Borth
2025	J	`jnl`	Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction. CoRR Léo Meynent, Ivan Melev, Konstantin Schürholt, Göran Kauermann, Damian Borth
2025	J	`jnl`	The Impact of Model Zoo Size and Composition on Weight Space Learning. CoRR Damian Falk, Konstantin Schürholt, Damian Borth
2024	J	`jnl`	Differentially Private Federated Learning of Diffusion Models for Synthetic Tabular Data Generation. CoRR Timur Sattarov, Marco Schreyer, Damian Borth
2024	J	`jnl`	FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation. CoRR Timur Sattarov, Marco Schreyer, Damian Borth
2024	J	`jnl`	GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs. CoRR Kristófer Reynisson, Marco Schreyer, Damian Borth
2024	C	`conf`	Less is More: Active Self-Supervised Learning in Remote Sensing. IGARSS Xuemei Jiang, Linus Scheibenreif, Damian Borth
2024	C	`conf`	Merging Patches and Tokens: A VQA System for Remote Sensing. IGARSS Damian Falk, Kaan Aydin, Linus Scheibenreif, Damian Borth
2024	C	`conf`	Multi-Modal Diffusion for Self-Supervised Pretraining. IGARSS Alexander Lontke, Michael Mommert, Damian Borth
2024	J	`jnl`	Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities. CoRR Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J. Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu
2024	A*	`conf`	Parameter Efficient Self-Supervised Geospatial Domain Adaptation. CVPR Linus Scheibenreif, Michael Mommert, Damian Borth
2024	J	`jnl`	Sample Weight Estimation Using Meta-Updates for Online Continual Learning. CoRR Hamed Hemati, Damian Borth
2024	A*	`conf`	Towards Scalable and Versatile Weight Space Learning. ICML Konstantin Schürholt, Michael W. Mahoney, Damian Borth
2024	J	`jnl`	Towards Scalable and Versatile Weight Space Learning. CoRR Konstantin Schürholt, Michael W. Mahoney, Damian Borth
2023	C	`conf`	Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data. IGARSS Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir
2023	J	`jnl`	Ben-ge: Extending BigEarthNet with Geographical and Environmental Data. CoRR Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir
2023	—	`conf`	Class-Incremental Learning with Repetition. CoLLAs Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
2023	J	`jnl`	Class-Incremental Learning with Repetition. CoRR Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
2023	C	`conf`	Dataset Distillation for Eurosat. IGARSS Julius Lautz, Daniel Leal, Linus Scheibenreif, Damian Borth, Michael Mommert
2023	C	`conf`	Eurosat Model Zoo: A Dataset and Benchmark on Populations of Neural Networks and Its Sparsified Model Twins. IGARSS Dominik Honegger, Konstantin Schürholt, Linus Scheibenreif, Damian Borth
2023	—	`conf`	FinDiff: Diffusion Models for Financial Tabular Data Generation. ICAIF Timur Sattarov, Marco Schreyer, Damian Borth
2023	J	`jnl`	FinDiff: Diffusion Models for Financial Tabular Data Generation. CoRR Timur Sattarov, Marco Schreyer, Damian Borth
2023	Misc	`conf`	Fine-Grained Emotional Control of Text-to-Speech: Learning to Rank Inter- and Intra-Class Emotion Intensities. ICASSP Shijun Wang, Jón Guðnason, Damian Borth
2023	J	`jnl`	Fine-grained Emotional Control of Text-To-Speech: Learning To Rank Inter- And Intra-Class Emotion Intensities. CoRR Shijun Wang, Jón Guðnason, Damian Borth
2023	A	`conf`	Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech. INTERSPEECH Shijun Wang, Jón Guðnason, Damian Borth
2023	J	`jnl`	Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech. CoRR Shijun Wang, Jón Guðnason, Damian Borth
2023	—	`conf`	Masked Vision Transformers for Hyperspectral Image Classification. CVPR Workshops Linus Scheibenreif, Michael Mommert, Damian Borth
2023	—	`conf`	Partial Hypernetworks for Continual Learning. CoLLAs Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth
2023	J	`jnl`	Partial Hypernetworks for Continual Learning. CoRR Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth
2023	J	`jnl`	Physics-Guided Multitask Learning for Estimating Power Generation and CO IEEE Trans. Geosci. Remote. Sens. Joëlle Hanna, Damian Borth, Michael Mommert
2023	—	`conf`	Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation. CVPR Workshops Joëlle Hanna, Michael Mommert, Damian Borth
2023	J	`jnl`	Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models. CoRR Dominik Honegger, Konstantin Schürholt, Damian Borth
2023	J	`jnl`	Transformer-based Entity Legal Form Classification. CoRR Alexander Arimond, Mauro Molteni, Dominik Jany, Zornitsa Manolova, Damian Borth, Andreas G. F. Hoepner
2022	C	`conf`	A Multimodal Approach for Event Detection: Study of UK Lockdowns in the Year 2020. IGARSS Joëlle Hanna, Linus Scheibenreif, Michael Mommert, Damian Borth
2022	J	`jnl`	Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing. CoRR Marco Schreyer, Hamed Hemati, Damian Borth, Miklos A. Vasarhelyi
2022	—	`conf`	Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits. ICAIF Marco Schreyer, Timur Sattarov, Damian Borth
2022	J	`jnl`	Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits. CoRR Marco Schreyer, Timur Sattarov, Damian Borth
2022	A	`conf`	Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition. INTERSPEECH Shijun Wang, Hamed Hemati, Jón Guðnason, Damian Borth
2022	J	`jnl`	Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition. CoRR Shijun Wang, Hamed Hemati, Jón Guðnason, Damian Borth
2022	A*	`conf`	Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. NeurIPS Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
2022	J	`jnl`	Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. CoRR Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
2022	J	`jnl`	Hyper-Representations for Pre-Training and Transfer Learning. CoRR Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
2022	A*	`conf`	Model Zoos: A Dataset of Diverse Populations of Neural Network Models. NeurIPS Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
2022	J	`jnl`	Model Zoos: A Dataset of Diverse Populations of Neural Network Models. CoRR Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
2022	—	`conf`	RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations. ICAIF Ricardo Müller, Marco Schreyer, Timur Sattarov, Damian Borth
2022	J	`jnl`	RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations. CoRR Ricardo Müller, Marco Schreyer, Timur Sattarov, Damian Borth
2022	—	`conf`	Self-supervised Vision Transformers for Land-cover Segmentation and Classification. CVPR Workshops Linus Scheibenreif, Joëlle Hanna, Michael Mommert, Damian Borth
2022	J	`jnl`	Toward Global Estimation of Ground-Level NO IEEE Trans. Geosci. Remote. Sens. Linus Scheibenreif, Michael Mommert, Damian Borth
2022	C	`conf`	Traffic Noise Estimation from Satellite Imagery with Deep Learning. IGARSS Leonardo Eicher, Michael Mommert, Damian Borth
2022	B	`conf`	Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning. IJCNN Shijun Wang, Damian Borth
2021	C	`conf`	A Novel Dataset and Benchmark for Surface No2 Prediction from Remote Sensing Data Including Covid Lockdown Measures. IGARSS Linus Scheibenreif, Michael Mommert, Damian Borth
2021	J	`jnl`	Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data. CoRR Hamed Hemati, Marco Schreyer, Damian Borth
2021	J	`jnl`	Continual Speaker Adaptation for Text-to-Speech Synthesis. CoRR Hamed Hemati, Damian Borth
2021	J	`jnl`	Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space. CoRR Linus Scheibenreif, Michael Mommert, Damian Borth
2021	J	`jnl`	Heterogeneous Ensemble for ESG Ratings Prediction. CoRR Tim Krappel, Alex Bogun, Damian Borth
2021	A*	`conf`	Learning Interpretable Concept Groups in CNNs. IJCAI Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft
2021	J	`jnl`	Learning Interpretable Concept Groups in CNNs. CoRR Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft
2021	J	`jnl`	Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks. CoRR Marco Schreyer, Timur Sattarov, Damian Borth
2021	—	`conf`	Multi-view contrastive self-supervised learning of accounting data representations for downstream audit tasks. ICAIF Marco Schreyer, Timur Sattarov, Damian Borth
2021	J	`jnl`	NoiseVC: Towards High Quality Zero-Shot Voice Conversion. CoRR Shijun Wang, Damian Borth
2021	C	`conf`	Power Plant Classification from Remote Imaging with Deep Learning. IGARSS Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth
2021	J	`jnl`	Power Plant Classification from Remote Imaging with Deep Learning. CoRR Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth
2021	J	`jnl`	Saliency Diversified Deep Ensemble for Robustness to Adversaries. CoRR Alex Bogun, Dimche Kostadinov, Damian Borth
2021	A*	`conf`	Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction. NeurIPS Konstantin Schürholt, Dimche Kostadinov, Damian Borth
2021	J	`jnl`	Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction. CoRR Konstantin Schürholt, Dimche Kostadinov, Damian Borth
2021	J	`jnl`	Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning. CoRR Shijun Wang, Dimche Kostadinov, Damian Borth
2020	J	`jnl`	An Investigation of the Weight Space for Version Control of Neural Networks. CoRR Konstantin Schürholt, Damian Borth
2020	J	`jnl`	Characterization of Industrial Smoke Plumes from Remote Sensing Data. CoRR Michael Mommert, Mario Sigel, Marcel Neuhausler, Linus Scheibenreif, Damian Borth
2020	J	`jnl`	Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination. CoRR Léa Steinacker, Miriam Meckel, Genia Kostka, Damian Borth
2020	J	`jnl`	Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks. CoRR Marco Schreyer, Christian Schulze, Damian Borth
2020	J	`jnl`	Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks. CoRR Marco Schreyer, Timur Sattarov, Anita Gierbl, Bernd Reimer, Damian Borth
2020	—	`conf`	Learning sampling in financial statement audits using vector quantised variational autoencoder neural networks. ICAIF Marco Schreyer, Timur Sattarov, Anita Gierbl, Bernd Reimer, Damian Borth
2020	J	`jnl`	Management von Künstlicher Intelligenz in Unternehmen. HMD Prax. Wirtsch. Benjamin van Giffen, Damian Borth, Walter Brenner
2020	J	`jnl`	Neural Networks and Value at Risk. CoRR Alexander Arimond, Damian Borth, Andreas Hoepner, Michael Klawunn, Stefan Weisheit
2020	J	`jnl`	Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement. CoRR Hamed Hemati, Damian Borth
2019	J	`jnl`	Adversarial Learning of Deepfakes in Accounting. CoRR Marco Schreyer, Timur Sattarov, Bernd Reimer, Damian Borth
2019	J	`jnl`	Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks. CoRR Marco Schreyer, Timur Sattarov, Christian Schulze, Bernd Reimer, Damian Borth
2019	J	`jnl`	EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth
2019	B	`conf`	Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. ICIP Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, Andreas Dengel
2018	J	`jnl`	Adversarial Defense based on Structure-to-Signal Autoencoders. CoRR Joachim Folz, Sebastian Palacio, Jörn Hees, Damian Borth, Andreas Dengel
2018	J	`jnl`	AudioPairBank: towards a large-scale tag-pair-based audio content analysis. EURASIP J. Audio Speech Music. Process. Sebastian Säger, Benjamin Elizalde, Damian Borth, Christian Schulze, Bhiksha Raj, Ian R. Lane
2018	C	`conf`	Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. IGARSS Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth
2018	C	`conf`	Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. CBMI Benjamin Bischke, Patrick Helber, Florian Koenig, Damian Borth, Andreas Dengel
2018	J	`jnl`	Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. CoRR Benjamin Bischke, Patrick Helber, Florian König, Damian Borth, Andreas Dengel
2018	—	`conf`	Saliency based Adjective Noun Pair Detection System. ICAART (2) Marco Stricker, Syed Saqib Bukhari, Damian Borth, Andreas Dengel
2018	C	`conf`	Segmentation of Imbalanced Classes in Satellite Imagery using Adaptive Uncertainty Weighted Class Loss. IGARSS Benjamin Bischke, Patrick Helber, Damian Borth, Andreas Dengel
2018	—	`conf`	The Multimedia Satellite Task at MediaEval 2018. MediaEval Benjamin Bischke, Patrick Helber, Zhengyu Zhao, Jens de Bruijn, Damian Borth
2018	A*	`conf`	What Do Deep Networks Like to See? CVPR Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
2018	J	`jnl`	What do Deep Networks Like to See? CoRR Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
2017	J	`jnl`	Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks. CoRR Marco Schreyer, Timur Sattarov, Damian Borth, Andreas Dengel, Bernd Reimer
2017	—	`conf`	Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks. MediaEval Benjamin Bischke, Prakriti Bhardwaj, Aman Gautam, Patrick Helber, Damian Borth, Andreas Dengel
2017	J	`jnl`	EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. CoRR Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth
2017	J	`jnl`	Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Ver. CoRR Mario Michael Krell, Julia Bernd, Yifan Li, Daniel Ma, Jaeyoung Choi, Michael Ellsworth, Damian Borth, Gerald Friedland
2017	—	`conf`	Image Captioning in the Wild: How People Caption Images on Flickr. MUSA2@MM Philipp Blandfort, Tushar Karayil, Damian Borth, Andreas Dengel
2017	J	`jnl`	Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. CoRR Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, Andreas Dengel
2017	—	`conf`	Predicting Human Associations with Graph Patterns Learned from Linked Data. ISWC (Posters, Demos & Industry Tracks) Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel
2017	A*	`conf`	Social Multimedia Sentiment Analysis. ACM Multimedia Jiebo Luo, Damian Borth, Quanzeng You
2017	—	`conf`	The Multimedia Satellite Task at MediaEval 2017. MediaEval Benjamin Bischke, Patrick Helber, Christian Schulze, Venkat Srinivasan, Andreas Dengel, Damian Borth
2017	—	`conf`	Which Saliency Detection Method is the Best to Estimate the Human Attention for Adjective Noun Concepts?. ICAART (2) Marco Stricker, Syed Saqib Bukhari, Mohammad Al-Naser, Seyyed Saleh Mozafari Chanijani, Damian Borth, Andreas Dengel
2016	B	`conf`	A Tesseract-based OCR framework for historical documents lacking ground-truth text. ICIP Brennan Nunamaker, Syed Saqib Bukhari, Damian Borth, Andreas Dengel
2016	B	`conf`	An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs - Finding Patterns for Human Associations in DBpedia. EKAW Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel
2016	J	`jnl`	An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs: Finding Patterns for Human Associations in DBpedia. CoRR Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel
2016	—	`conf`	An eye movement study on scientific papers using wearable eye tracking technology. ICMU Seyyed Saleh Mozaffari Chanijani, Mohammad Al-Naser, Syed Saqib Bukhari, Damian Borth, Shanley E. M. Alleny, Andreas Dengel
2016	J	`jnl`	AudioSentibank: Large-scale Semantic Ontology of Acoustic Concepts for Audio Content Analysis. CoRR Sebastian Säger, Damian Borth, Benjamin Elizalde, Christian Schulze, Bhiksha Raj, Ian R. Lane, Andreas Dengel
2016	A*	`conf`	Contextual Enrichment of Remote-Sensed Events with Social Media Streams. ACM Multimedia Benjamin Bischke, Damian Borth, Christian Schulze, Andreas Dengel
2016	—	`conf`	Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. ESWC (Satellite Events) Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel
2016	—	`conf`	Erratum to: Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. ESWC (Satellite Events) Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel
2016	A*	`conf`	Generating Affective Captions using Concept And Syntax Transition Networks. ACM Multimedia Tushar Karayil, Philipp Blandfort, Damian Borth, Andreas Dengel
2016	B	`conf`	Introducing Concept And Syntax Transition Networks for Image Captioning. ICMR Philipp Blandfort, Tushar Karayil, Damian Borth, Andreas Dengel
2016	A*	`conf`	Multimedia COMMONS Workshop 2016 (MMCommons 2016): Datasets, Evaluation, and Reproducibility. ACM Multimedia Bart Thomee, Damian Borth, Julia Bernd
2016	—	`ed.`	Proceedings of the 2016 ACM Workshop on Multimedia COMMONS, Amsterdam, Netherlands, October 16, 2016 MMCommons @ ACM Multimedia Bart Thomee, Damian Borth, Julia Bernd
2016	Misc	`conf`	Trending Topic Aggregation by News-Based Context Modeling. KI Sebastian Fuchs, Damian Borth, Adrian Ulges
2016	—	`conf`	Which Languages do People Speak on Flickr?: A Language and Geo-Location Study of the YFCC100m Dataset. MMCommons @ ACM Multimedia Alireza Koochali, Sebastian Kalkowski, Andreas Dengel, Damian Borth, Christian Schulze
2016	J	`jnl`	YFCC100M: the new data in multimedia research. Commun. ACM Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li
2015	—	`conf`	Aesthetic Photo Enhancement using Machine Learning and Case-Based Reasoning. ASM@ACM Multimedia Joachim Folz, Christian Schulze, Damian Borth, Andreas Dengel
2015	—	`conf`	Kickstarting the Commons: The YFCC100M and the YLI Corpora. MMCommons@ACM Multimedia Julia Bernd, Damian Borth, Carmen Carrano, Jaeyoung Choi, Benjamin Elizalde, Gerald Friedland, Luke R. Gottlieb, Karl Ni, Roger A. Pearce, Douglas Poland, Khalid Ashraf, David A. Shamma, Bart Thomee
2015	J	`jnl`	Large-Scale Deep Learning on the YFCC100M Dataset. CoRR Karl Ni, Roger A. Pearce, Kofi Boakye, Brian Van Essen, Damian Borth, Barry Chen, Eric X. Wang
2015	J	`jnl`	Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets. CoRR Takuya Narihira, Damian Borth, Stella X. Yu, Karl Ni, Trevor Darrell
2015	—	`conf`	Real-time Analysis and Visualization of the YFCC100m Dataset. MMCommons@ACM Multimedia Sebastian Kalkowski, Christian Schulze, Andreas Dengel, Damian Borth
2015	J	`jnl`	The New Data and New Challenges in Multimedia Research. CoRR Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li
2015	J	`jnl`	The YLI-MED Corpus: Characteristics, Procedures, and Plans. CoRR Julia Bernd, Damian Borth, Benjamin Elizalde, Gerald Friedland, Heather Gallagher, Luke R. Gottlieb, Adam Janin, Sara Karabashlieva, Jocelyn Takahashi, Jennifer Won
2015	—	`—`	Visual Learning of Socio-Video Semantics. Damian Borth
2015	—	`conf`	What Makes a Beautiful Landscape Beautiful: Adjective Noun Pairs Attention by Eye-Tracking and Gaze Analysis. ASM@ACM Multimedia Mohammad Al-Naser, Seyyed Saleh Mozafari Chanijani, Syed Saqib Bukhari, Damian Borth, Andreas Dengel
2014	J	`jnl`	Analysis and Forecasting of Trending Topics in Online Media Streams. CoRR Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel
2014	—	`conf`	Audio-concept features and hidden Markov models for multimedia event detection. SLAM@INTERSPEECH Benjamin Elizalde, Mirco Ravanelli, Karl Ni, Damian Borth, Gerald Friedland
2014	B	`conf`	Automatic Detection of CSA Media by Multi-modal Feature Fusion for Law Enforcement Support. ICMR Christian Schulze, Dominik Henter, Damian Borth, Andreas Dengel
2014	J	`jnl`	DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks. CoRR Tao Chen, Damian Borth, Trevor Darrell, Shih-Fu Chang
2014	—	`conf`	The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images. GeoMM Jaeyoung Choi, Bart Thomee, Gerald Friedland, Liangliang Cao, Karl Ni, Damian Borth, Benjamin Elizalde, Luke R. Gottlieb, Carmen Carrano, Roger A. Pearce, Douglas Poland
2014	J	`jnl`	Visual Learning of Semantic Concepts in Social Multimedia. Künstliche Intell. Damian Borth
2013	A*	`conf`	Analysis and forecasting of trending topics in online media streams. ACM Multimedia Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel
2013	J	`jnl`	Content analysis meets viewers: linking concept detection with demographics on YouTube. Int. J. Multim. Inf. Retr. Adrian Ulges, Damian Borth, Markus Koch
2013	A*	`conf`	Large-scale visual sentiment ontology and detectors using adjective noun pairs. ACM Multimedia Damian Borth, Rongrong Ji, Tao Chen, Thomas M. Breuel, Shih-Fu Chang
2013	A*	`conf`	SentiBank: large-scale ontology and classifiers for detecting sentiment and emotions in visual content. ACM Multimedia Damian Borth, Tao Chen, Rongrong Ji, Shih-Fu Chang
2012	A*	`conf`	Dynamic vocabularies for web-based concept detection by trend discovery. ACM Multimedia Damian Borth, Adrian Ulges, Thomas M. Breuel
2012	B	`conf`	Linking visual concept detection with viewer demographics. ICMR Adrian Ulges, Markus Koch, Damian Borth
2012	—	`conf`	Tag suggestion on youtube by personalizing content-based auto-annotation. CrowdMM@ACM Multimedia Dominik Henter, Damian Borth, Adrian Ulges
2011	A*	`conf`	Automatic concept-to-query mapping for web-based concept detector training. ACM Multimedia Damian Borth, Adrian Ulges, Thomas M. Breuel
2011	B	`conf`	Lookapp: interactive construction of web-based concept detectors. ICMR Damian Borth, Adrian Ulges, Thomas M. Breuel
2011	—	`conf`	Participation at TRECVID 2011 Semantic Indexing & Content-based Copy Detection Tasks. TRECVID Wan-Lei Zhao, Damian Borth, Thomas M. Breuel
2010	—	`conf`	DFKI and University of Kaiserslautern participation at TRECVID 2010 - Semantic Indexing Task. TRECVID Damian Borth, Markus Koch, Thomas M. Breuel, Adrian Ulges
2010	—	`conf`	Relevance filtering meets active learning: improving web-based concept detectors. Multimedia Information Retrieval Damian Borth, Adrian Ulges, Thomas M. Breuel
2010	—	`ch.`	Visual Concept Learning from Weakly Labeled Web Videos. Video Search and Mining Adrian Ulges, Damian Borth, Thomas M. Breuel
2009	—	`conf`	DFKI-IUPR participation in TRECVID'09 High-level Feature Extraction Task. TRECVID Damian Borth, Markus Koch, Adrian Ulges, Thomas M. Breuel
2009	J	`jnl`	Keyframe Extraktion für Video-Annotation und Video-Zusammenfassung. Inform. Spektrum Damian Borth, Adrian Ulges, Christian Schulze, Thomas M. Breuel
2009	A*	`conf`	TubeFiler: an automatic web video categorizer. ACM Multimedia Damian Borth, Jörn Hees, Markus Koch, Adrian Ulges, Christian Schulze, Thomas M. Breuel, Roberto Paredes
2009	—	`conf`	TubeTagger - YouTube-based Concept Detection. ICDM Workshops Adrian Ulges, Markus Koch, Damian Borth, Thomas M. Breuel
2009	—	`conf`	Video Copy Detection providing Localized Matches. Informatiktage Damian Borth, Adrian Ulges, Christian Schulze, Thomas M. Breuel
2008	—	`conf`	Keyframe Extraction for Video Tagging & Summarization. Informatiktage Damian Borth, Adrian Ulges, Christian Schulze, Thomas M. Breuel
2008	Misc	`conf`	Navidgator - Similarity Based Browsing for Image and Video Databases. KI Damian Borth, Christian Schulze, Adrian Ulges, Thomas M. Breuel