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Adrian Ulges
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2020 – today
- 2025
- [c60]Desiree Heim, Christian Jilek, Adrian Ulges, Andreas Dengel:
Investigating the Configurability of LLMs for the Generation of Knowledge Work Datasets. ICAART (3) 2025: 821-828 - 2024
- [c59]Desiree Heim, Christian Jilek, Adrian Ulges, Andreas Dengel:
Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets. INFORMATIK 2024: 1347-1357 - [c58]Johannes Villmow, Adrian Ulges, Ulrich Schwanecke:
Evaluating Contextualized Code Search in Practical User Studies. INFORMATIK 2024: 1395-1405 - [c57]Marcel Lamott
, Yves-Noel Weweler, Adrian Ulges, Faisal Shafait, Dirk Krechel
LAPDoc: Layout-Aware Prompting for Documents. ICDAR (4) 2024: 142-159 - [c56]Maurice Falk, Adrian Ulges, Dirk Krechel:
Exploring Data Acquisition Strategies for the Domain Adaptation of QA Models. KONVENS 2024: 106-116 - [i10]Marcel Lamott, Yves-Noel Weweler, Adrian Ulges, Faisal Shafait, Dirk Krechel, Darko Obradovic:
LAPDoc: Layout-Aware Prompting for Documents. CoRR abs/2402.09841 (2024) - [i9]Desiree Heim, Christian Jilek, Adrian Ulges, Andreas Dengel:
Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets. CoRR abs/2409.04286 (2024) - [i8]Marco Wrzalik, Adrian Ulges, Anne Uersfeld, Florian Faust:
Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design. CoRR abs/2412.06432 (2024) - 2023
- [c55]Marcel Lamott, Jörn Hees, Adrian Ulges:
Knowledge Base Question Answering by Transformer-Based Graph Pattern Scoring. ICCBR Workshops 2023: 98-113 - [c54]Marco Wrzalik, Julian Eversheim, Johannes Villmow, Adrian Ulges, Dirk Krechel, Sven Spieckermann, Robert Forstner:
Value Stream Repair Using Graph Structure Learning. IEA/AIE (2) 2023: 15-32 - [c53]Felix Hamann
Domain-Specific Knowledge Graph Adaption with Industrial Text Data. IEA/AIE (1) 2023: 281-293 - [c52]Johannes Villmow, Viola Campos, Jean Petry, Amine Abbad Andaloussi
How Well Can Masked Language Models Spot Identifiers That Violate Naming Guidelines? SCAM 2023: 131-142 - [i7]Felix Hamann, Adrian Ulges, Maurice Falk:
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying Scale. CoRR abs/2301.00716 (2023) - 2022
- [c51]Johannes Villmow, Viola Campos, Adrian Ulges, Ulrich Schwanecke:
Addressing Leakage in Self-Supervised Contextualized Code Retrieval. COLING 2022: 1006-1013 - [c50]Felix Hamann, Adrian Ulges, Maurice Falk:
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying Scale. KI (Workshops) 2022 - [i6]Johannes Villmow, Viola Campos, Adrian Ulges, Ulrich Schwanecke:
Addressing Leakage in Self-Supervised Contextualized Code Retrieval. CoRR abs/2204.11594 (2022) - 2021
- [j6]Nosheen Abid, Muhammad Shahzad, Muhammad Imran Malik, Ulrich Schwanecke, Adrian Ulges, György Kovács, Faisal Shafait:
UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery. Int. J. Appl. Earth Obs. Geoinformation 105: 102568 (2021) - [c49]Florian Horn, Andreas Dietze, Ralf Doerner, Paul Grimm, Detlef Krömker, Johannes Luderschmidt, Alexander Tillmann, Adrian Ulges:
Eine Kategorisierung und Katalogisierung von AR & VR Projekten für die (Hoch-) Schullehre. DELFI 2021: 79-84 - [c48]Markus Eberts, Adrian Ulges:
An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning. EACL 2021: 3650-3660 - [c47]Felix Hamann, Adrian Ulges, Dirk Krechel, Ralph Bergmann:
Open-World Knowledge Graph Completion Benchmarks for Knowledge Discovery. IEA/AIE (2) 2021: 252-264 - [c46]Johannes Villmow, Adrian Ulges, Ulrich Schwanecke:
A Structural Transformer with Relative Positions in Trees for Code-to-Sequence Tasks. IJCNN 2021: 1-10 - [i5]Markus Eberts, Adrian Ulges:
An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning. CoRR abs/2102.05980 (2021) - 2020
- [c45]Markus Eberts, Kevin Pech, Adrian Ulges:
ManyEnt: A Dataset for Few-shot Entity Typing. COLING 2020: 5553-5557 - [c44]Markus Eberts, Adrian Ulges:
Span-Based Joint Entity and Relation Extraction with Transformer Pre-Training. ECAI 2020: 2006-2013 - [c43]Felix Binder, Johannes Villmow, Adrian Ulges:
Bidirectional Transformer Language Models for Smart Autocompletion of Source Code. GI-Jahrestagung 2020: 915-922 - [c42]Nadja Kurz, Felix Hamann, Adrian Ulges:
Neural Entity Linking on Technical Service Tickets. SDS 2020: 35-40 - [i4]Nadja Kurz, Felix Hamann, Adrian Ulges:
Neural Entity Linking on Technical Service Tickets. CoRR abs/2005.07604 (2020)
2010 – 2019
- 2019
- [c41]Haseeb Shah
An Open-World Extension to Knowledge Graph Completion Models. AAAI 2019: 3044-3051 - [i3]Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait:
An Open-World Extension to Knowledge Graph Completion Models. CoRR abs/1906.08382 (2019) - [i2]Felix Hamann, Nadja Kurz, Adrian Ulges:
Hamming Sentence Embeddings for Information Retrieval. CoRR abs/1908.05541 (2019) - [i1]Markus Eberts, Adrian Ulges:
Span-based Joint Entity and Relation Extraction with Transformer Pre-training. CoRR abs/1909.07755 (2019) - 2018
- [c40]Markus Eberts, Adrian Ulges:
Interaktive Lehrvideos mit AMIGO. DeLFI 2018: 299-300 - [c39]Philipp Marten Macho, Nadja Kurz, Adrian Ulges, Robert Brylka, Thomas Gietzen, Ulrich Schwanecke:
Segmenting Teeth from Volumetric CT Data with a Hierarchical CNN-based Approach. CGVC 2018: 109-113 - 2017
- [c38]Ralf Dörner, Uwe Brinkschulte, Marcus Thoss, Adrian Ulges:
Workshop 11. GI-Jahrestagung 2017: 873-874 - [c37]Markus Eberts, Adrian Ulges:
Deep Convolutional Neural Networks for Pose Estimation in Image-Graphics Search. GI-Jahrestagung 2017: 907-914 - [c36]Fabian Junkert, Markus Eberts, Adrian Ulges, Ulrich Schwanecke:
Cross-modal Image-Graphics Retrieval by Neural Transfer Learning. ICMR 2017: 330-337 - 2016
- [c35]Sebastian Fuchs, Damian Borth, Adrian Ulges:
Trending Topic Aggregation by News-Based Context Modeling. KI 2016: 162-168 - 2015
- [c34]Markus Eberts, Adrian Ulges, Ulrich Schwanecke:
AMIGO - automatic indexing of lecture footage. ICDAR 2015: 1206-1210 - 2013
- [j5]Adrian Ulges, Damian Borth, Markus Koch:
Content analysis meets viewers: linking concept detection with demographics on YouTube. Int. J. Multim. Inf. Retr. 2(2): 145-157 (2013) - 2012
- [j4]Sebastiano Battiato
Multimedia in Forensics, Security, and Intelligence. IEEE Multim. 19(1): 17-19 (2012) - [c33]Adrian Ulges, Markus Koch, Damian Borth:
Linking visual concept detection with viewer demographics. ICMR 2012: 24 - [c32]Dominik Henter, Damian Borth, Adrian Ulges:
Tag suggestion on youtube by personalizing content-based auto-annotation. CrowdMM@ACM Multimedia 2012: 41-46 - [c31]Damian Borth, Adrian Ulges, Thomas M. Breuel:
Dynamic vocabularies for web-based concept detection by trend discovery. ACM Multimedia 2012: 977-980 - 2011
- [j3]Adrian Ulges, Marcel Worring
Learning Visual Contexts for Image Annotation From Flickr Groups. IEEE Trans. Multim. 13(2): 330-341 (2011) - [c30]Adrian Ulges, Armin Stahl:
Automatic detection of child pornography using color visual words. ICME 2011: 1-6 - [c29]Tim Althoff, Adrian Ulges, Andreas Dengel:
Balanced Clustering for Content-based Image Browsing. Informatiktage 2011: 27-30 - [c28]Adrian Ulges, Christian Schulze:
Scene-based image retrieval by transitive matching. ICMR 2011: 47 - [c27]Damian Borth, Adrian Ulges, Thomas M. Breuel:
Lookapp: interactive construction of web-based concept detectors. ICMR 2011: 66 - [c26]Sebastiano Battiato
Third ACM international workshop on multimedia in forensics and intelligence (MiFor 2011). ACM Multimedia 2011: 605-606 - [c25]Damian Borth, Adrian Ulges, Thomas M. Breuel:
Automatic concept-to-query mapping for web-based concept detector training. ACM Multimedia 2011: 1453-1456 - 2010
- [j2]Adrian Ulges, Christian Schulze, Markus Koch, Thomas M. Breuel:
Learning automatic concept detectors from online video. Comput. Vis. Image Underst. 114(4): 429-438 (2010) - [c24]Adrian Ulges, Thomas M. Breuel:
Can Motion Segmentation Improve Patch-Based Object Recognition? ICPR 2010: 3041-3044 - [c23]Damian Borth, Adrian Ulges, Thomas M. Breuel:
Relevance filtering meets active learning: improving web-based concept detectors. Multimedia Information Retrieval 2010: 25-34 - [c22]Jörn Wanke, Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel:
Topic models for semantics-preserving video compression. Multimedia Information Retrieval 2010: 275-284 - [c21]Sebastiano Battiato
Second ACM international workshop on multimedia in forensics, security and intelligence (MiFor 2010). ACM Multimedia 2010: 1741-1742 - [c20]Damian Borth, Markus Koch, Thomas M. Breuel, Adrian Ulges:
DFKI and University of Kaiserslautern participation at TRECVID 2010 - Semantic Indexing Task. TRECVID 2010 - [p1]Adrian Ulges, Damian Borth, Thomas M. Breuel:
Visual Concept Learning from Weakly Labeled Web Videos. Video Search and Mining 2010: 203-232 - [e1]Sebastiano Battiato, Sabu Emmanuel, Adrian Ulges, Marcel Worring:
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence, MiFor@MM 2010, Firenze, Italy, October 29, 2010. ACM 2010, ISBN 978-1-4503-0157-2 [contents]
2000 – 2009
- 2009
- [b1]Adrian Ulges:
Visual Concept Learning from User-tagged Web Video. University of Kaiserslautern, 2009, ISBN 978-3-86853-248-7, pp. 1-241 - [j1]Damian Borth, Adrian Ulges, Christian Schulze, Thomas M. Breuel:
Keyframe Extraktion für Video-Annotation und Video-Zusammenfassung. Inform. Spektrum 32(1): 50-53 (2009) - [c19]Manni Duan, Adrian Ulges, Thomas M. Breuel, Xiuqing Wu:
Style modeling for tagging personal photo collections. CIVR 2009 - [c18]Adrian Ulges, Markus Koch, Damian Borth, Thomas M. Breuel:
TubeTagger - YouTube-based Concept Detection. ICDM Workshops 2009: 190-195 - [c17]Roberto Paredes, Adrian Ulges, Thomas M. Breuel:
Fast Discriminative Linear Models for Scalable Video Tagging. ICMLA 2009: 571-576 - [c16]Damian Borth, Adrian Ulges, Christian Schulze, Thomas M. Breuel:
Video Copy Detection providing Localized Matches. Informatiktage 2009: 19-22 - [c15]Christian Jansohn, Adrian Ulges, Thomas M. Breuel:
Detecting pornographic video content by combining image features with motion information. ACM Multimedia 2009: 601-604 - [c14]Damian Borth, Jörn Hees, Markus Koch, Adrian Ulges, Christian Schulze, Thomas M. Breuel, Roberto Paredes:
TubeFiler: an automatic web video categorizer. ACM Multimedia 2009: 1111-1112 - [c13]Damian Borth, Markus Koch, Adrian Ulges, Thomas M. Breuel:
DFKI-IUPR participation in TRECVID'09 High-level Feature Extraction Task. TRECVID 2009 - 2008
- [c12]Adrian Ulges, Christian Schulze, Thomas M. Breuel:
Multiple Instance Learning from Weakly Labeled Videos. CIAEM 2008 - [c11]Adrian Ulges, Christian Schulze, Daniel Keysers, Thomas M. Breuel:
Identifying relevant frames in weakly labeled videos for training concept detectors. CIVR 2008: 9-16 - [c10]Adrian Ulges, Thomas M. Breuel:
A Local Discriminative Model for Background Subtraction. DAGM-Symposium 2008: 507-516 - [c9]Adrian Ulges, Thomas M. Breuel:
Segmentation by combining parametric optical flow with a color model. ICPR 2008: 1-4 - [c8]Adrian Ulges, Christian Schulze, Daniel Keysers, Thomas M. Breuel:
A System That Learns to Tag Videos by Watching Youtube. ICVS 2008: 415-424 - [c7]Damian Borth, Adrian Ulges, Christian Schulze, Thomas M. Breuel:
Keyframe Extraction for Video Tagging & Summarization. Informatiktage 2008: 45-48 - [c6]Damian Borth, Christian Schulze, Adrian Ulges, Thomas M. Breuel:
Navidgator - Similarity Based Browsing for Image and Video Databases. KI 2008: 22-29 - [c5]Adrian Ulges, Christian Schulze, Markus Koch, Thomas M. Breuel:
Learning TRECVID'08 High-Level Features from YouTube. TRECVID 2008 - 2007
- [c4]Adrian Ulges, Christoph H. Lampert, Daniel Keysers, Thomas M. Breuel:
Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space. DAGM-Symposium 2007: 204-213 - 2006
- [c3]Adrian Ulges, Christoph Lampert, Daniel Keysers:
Spatiogram-Based Shot Distances for Video Retrieval. TRECVID 2006 - 2005
- [c2]Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel:
Document Image Dewarping using Robust Estimation of Curled Text Lines. ICDAR 2005: 1001-1005 - 2004
- [c1]Adrian Ulges, Christoph H. Lampert, Thomas M. Breuel:
Document capture using stereo vision. ACM Symposium on Document Engineering 2004: 198-200
Coauthor Index
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