Document capture using stereo vision. - Adrian Ulges; Christoph H. Lampert; Thomas M. Breuel (ACM Symposium on Document Engineering, 2004)

Document Image Dewarping using Robust Estimation of Curled Text Lines. - Adrian Ulges; Christoph H. Lampert; Thomas M. Breuel (ICDAR, 2005)

Spatiogram-Based Shot Distances for Video Retrieval. - Adrian Ulges; Christoph Lampert; Daniel Keysers (TRECVID, 2006)

Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space. - Adrian Ulges; Christoph H. Lampert; Daniel Keysers; Thomas M. Breuel (DAGM-Symposium, 2007)

Multiple Instance Learning from Weakly Labeled Videos. - Adrian Ulges; Christian Schulze 001; Thomas M. Breuel (CIAEM, 2008)

Identifying relevant frames in weakly labeled videos for training concept detectors. - Adrian Ulges; Christian Schulze 001; Daniel Keysers; Thomas M. Breuel (CIVR, 2008)

A Local Discriminative Model for Background Subtraction. - Adrian Ulges; Thomas M. Breuel (DAGM-Symposium, 2008)

Segmentation by combining parametric optical flow with a color model. - Adrian Ulges; Thomas M. Breuel (ICPR, 2008)

A System That Learns to Tag Videos by Watching Youtube. - Adrian Ulges; Christian Schulze 001; Daniel Keysers; Thomas M. Breuel (ICVS, 2008)

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)

Learning TRECVID'08 High-Level Features from YouTube. - Adrian Ulges; Christian Schulze 001; Markus Koch; Thomas M. Breuel (TRECVID, 2008)

Style modeling for tagging personal photo collections. - Manni Duan; Adrian Ulges; Thomas M. Breuel; Xiuqing Wu (CIVR, 2009)

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

Fast Discriminative Linear Models for Scalable Video Tagging. - Roberto Paredes; Adrian Ulges; Thomas M. Breuel (ICMLA, 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)

Detecting pornographic video content by combining image features with motion information. - Christian Jansohn; Adrian Ulges; Thomas M. Breuel (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)

Visual Concept Learning from User-tagged Web Video. - Adrian Ulges (2009)

Can Motion Segmentation Improve Patch-Based Object Recognition? - Adrian Ulges; Thomas M. Breuel (ICPR, 2010)

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

Topic models for semantics-preserving video compression. - Jörn Wanke; Adrian Ulges; Christoph H. Lampert; Thomas M. Breuel (Multimedia Information Retrieval, 2010)

Second ACM international workshop on multimedia in forensics, security and intelligence (MiFor 2010). - Sebastiano Battiato; Sabu Emmanuel; Adrian Ulges; Marcel Worring (ACM Multimedia, 2010)

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

Learning automatic concept detectors from online video. - Adrian Ulges; Christian Schulze 001; Markus Koch; Thomas M. Breuel (Comput. Vis. Image Underst., 2010)

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

Automatic detection of child pornography using color visual words. - Adrian Ulges; Armin Stahl (ICME, 2011)

Balanced Clustering for Content-based Image Browsing. - Tim Althoff; Adrian Ulges; Andreas Dengel 001 (Informatiktage, 2011)

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

Scene-based image retrieval by transitive matching. - Adrian Ulges; Christian Schulze 001 (ICMR, 2011)

Third ACM international workshop on multimedia in forensics and intelligence (MiFor 2011). - Sebastiano Battiato; Sabu Emmanuel; Adrian Ulges; Marcel Worring (ACM Multimedia, 2011)

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

Learning Visual Contexts for Image Annotation From Flickr Groups. - Adrian Ulges; Marcel Worring; Thomas M. Breuel (IEEE Trans. Multim., 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)

Multimedia in Forensics, Security, and Intelligence. - Sebastiano Battiato; Sabu Emmanuel; Adrian Ulges; Marcel Worring (IEEE Multim., 2012)

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

AMIGO - automatic indexing of lecture footage. - Markus Eberts; Adrian Ulges; Ulrich Schwanecke (ICDAR, 2015)

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

Workshop 11. - Ralf Dörner 001; Uwe Brinkschulte; Marcus Thoss; Adrian Ulges (GI-Jahrestagung, 2017)

Deep Convolutional Neural Networks for Pose Estimation in Image-Graphics Search. - Markus Eberts; Adrian Ulges (GI-Jahrestagung, 2017)

Cross-modal Image-Graphics Retrieval by Neural Transfer Learning. - Fabian Junkert; Markus Eberts; Adrian Ulges; Ulrich Schwanecke (ICMR, 2017)

Interaktive Lehrvideos mit AMIGO. - Markus Eberts; Adrian Ulges (DeLFI, 2018)

Segmenting Teeth from Volumetric CT Data with a Hierarchical CNN-based Approach. - Philipp Marten Macho; Nadja Kurz; Adrian Ulges; Robert Brylka; Thomas Gietzen; Ulrich Schwanecke (CGVC, 2018)

An Open-World Extension to Knowledge Graph Completion Models. - Haseeb Shah; Johannes Villmow; Adrian Ulges; Ulrich Schwanecke; Faisal Shafait (AAAI, 2019)

Hamming Sentence Embeddings for Information Retrieval. - Felix Hamann; Nadja Kurz; Adrian Ulges (CoRR, 2019)

ManyEnt: A Dataset for Few-shot Entity Typing. - Markus Eberts; Kevin Pech; Adrian Ulges (COLING, 2020)

Span-Based Joint Entity and Relation Extraction with Transformer Pre-Training. - Markus Eberts; Adrian Ulges (ECAI, 2020)

Bidirectional Transformer Language Models for Smart Autocompletion of Source Code. - Felix Binder; Johannes Villmow; Adrian Ulges (GI-Jahrestagung, 2020)

Neural Entity Linking on Technical Service Tickets. - Nadja Kurz; Felix Hamann; Adrian Ulges (SDS, 2020)

Eine Kategorisierung und Katalogisierung von AR & VR Projekten für die (Hoch-) Schullehre. - Florian Horn 002; Andreas Dietze; Ralf Doerner 001; Paul Grimm; Detlef Krömker; Johannes Luderschmidt; Alexander Tillmann; Adrian Ulges (DELFI, 2021)

An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning. - Markus Eberts; Adrian Ulges (EACL, 2021)

Open-World Knowledge Graph Completion Benchmarks for Knowledge Discovery. - Felix Hamann; Adrian Ulges; Dirk Krechel; Ralph Bergmann (IEA/AIE (2), 2021)

A Structural Transformer with Relative Positions in Trees for Code-to-Sequence Tasks. - Johannes Villmow; Adrian Ulges; Ulrich Schwanecke (IJCNN, 2021)

UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery. - Nosheen Abid; Muhammad Shahzad 002; Muhammad Imran Malik; Ulrich Schwanecke; Adrian Ulges; György Kovács 001; Faisal Shafait (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Addressing Leakage in Self-Supervised Contextualized Code Retrieval. - Johannes Villmow; Viola Campos; Adrian Ulges; Ulrich Schwanecke (COLING, 2022)

IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying Scale. - Felix Hamann; Adrian Ulges; Maurice Falk (KI (Workshops), 2022)

Knowledge Base Question Answering by Transformer-Based Graph Pattern Scoring. - Marcel Lamott; Jörn Hees; Adrian Ulges (ICCBR Workshops, 2023)

Domain-Specific Knowledge Graph Adaption with Industrial Text Data. - Felix Hamann; Adrian Ulges (IEA/AIE (1), 2023)

Value Stream Repair Using Graph Structure Learning. - Marco Wrzalik; Julian Eversheim; Johannes Villmow; Adrian Ulges; Dirk Krechel; Sven Spieckermann; Robert Forstner (IEA/AIE (2), 2023)

How Well Can Masked Language Models Spot Identifiers That Violate Naming Guidelines? - Johannes Villmow; Viola Campos; Jean Petry; Amine Abbad Andaloussi; Adrian Ulges; Barbara Weber (SCAM, 2023)

Towards Synthesizing E-Mail Conversations as Part of Knowledge Work Datasets with Large Language Models. - Desiree Heim; Christian Jilek; Adrian Ulges; Andreas Dengel 001 (EKAW (Companion), 2024)

Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets. - Desiree Heim; Christian Jilek; Adrian Ulges; Andreas Dengel 001 (INFORMATIK, 2024)

Evaluating Contextualized Code Search in Practical User Studies. - Johannes Villmow; Adrian Ulges; Ulrich Schwanecke (INFORMATIK, 2024)

LAPDoc: Layout-Aware Prompting for Documents. - Marcel Lamott; Yves-Noel Weweler; Adrian Ulges; Faisal Shafait; Dirk Krechel; Darko Obradovic (ICDAR (4), 2024)

Exploring Data Acquisition Strategies for the Domain Adaptation of QA Models. - Maurice Falk; Adrian Ulges; Dirk Krechel (KONVENS, 2024)

Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design. - Marco Wrzalik; Adrian Ulges; Anne Uersfeld; Florian Faust (CoRR, 2024)

Investigating the Configurability of LLMs for the Generation of Knowledge Work Datasets. - Desiree Heim; Christian Jilek; Adrian Ulges; Andreas Dengel 001 (ICAART (3), 2025)

Empirical Evaluation of Generalizable Automated Program Repair with Large Language Models. - Viola Campos; Ridwan Shariffdeen; Adrian Ulges; Yannic Noller (CoRR, 2025)