Publications

International Journals, Conferences and Workshops (peer-reviewed), and Monographs

 

Publications 2024

  • E. Navarrete, R. Ewerth, and A. Hoppe:
    Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions
    In: ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, Idaho, United States of America, October 21-25, 2024, 2024.
    Accepted for Publication
  • G. S. Cheema, J. Arafat, C. Tseng, J. A. Bateman, R. Ewerth, and E. Müller-Budack:
    Identification of Speaker Roles and Situation Types in News Videos
    In: International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024, pp. 506–514. ACM, 2024.
    Best Paper Award
    doi.org/10.1145/3652583.3658101
  •  C. Tseng, J. A. Bateman, L. Thiele, R. Ewerth, E. Müller-Budack, G. Cheema, M. Burghardt, and B. Liebl:
    The search for filmic narrative strategies in audiovisual news reporting: a progress report
    In: Conference of the Society for Cognitive Studies of the Moving Image, SCSMI 2024, Budapest, Hungary, June 5-8, 2024, 2024.
  •  E. Müller-Budack, M. Springstein, M. Plank, J. Sittel, R. Mauer, O. Bulgakowa, M. Burghardt, J. A. Bateman, and R. Ewerth:
    TIB AV-Analytics: A Computational Tool for Film and Video Analysis
    In: Conference of the Society for Cognitive Studies of the Moving Image, SCSMI 2024, Budapest, Hungary, June 5-8, 2024, 2024.
  •  E. Müller-Budack, W. Gritz, and R. Ewerth:
    Video Data
    Computer Science in Sport: Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data, pp. 27–34. Springer Berlin Heidelberg, 2024.
    doi.org/10.1007/978-3-662-68313-2_4
  •  M. Springstein, S. Schneider, J. Rahnama, J. Stalter, M. Kristen, E. Müller-Budack, and R. Ewerth:
    Visual Narratives: Large-scale Hierarchical Classification of Art-historical Images
    In: IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, pp. 7195–7205. IEEE, 2024.
    doi.org/10.1109/WACV57701.2024.00705
  •  J. Berger, J. Koß, M. Stamatakis, A. Hoppe, R. Ewerth, and C. Wartena:
    Question Generation Capabilities of “Small" Large Language Models
    In: International Conference on Natural Language & Information Systems, NLDB 2024, Turin, Italy, June 25-27, 2024. Springer, 2024.
    Accepted for Publication
  •  G. Tahmasebzadeh, M. Springstein, R. Ewerth, and E. Müller-Budack:
    Few-Shot Event Classification in Images using Knowledge Graphs for Prompting
    In: IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, pp. 7271–7280. IEEE, 2024.
    doi.org/10.1109/WACV57701.2024.00712
  •  M. Akhtar, N. Subedi, V. Gupta, S. Tahmasebi, O. Cocarascu, and E. Simperl:
    ChartCheck: An Evidence-Based Fact-Checking Dataset over Real-World Chart Images
    In: The Annual Meeting of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand, August 11–16, 2024, 2024.
    Accepted for Publication
    doi.org/10.48550/ARXIV.2311.07453
  • A. Brack, E. Entrup, M. Stamatakis, P. Buschermöhle, A. Hoppe, and R. Ewerth:
    Sequential sentence classification in research papers using cross-domain multi-task learning
    International Journal on Digital Libraries, 2024.
    https://doi.org/10.1007/s00799-023-00392-z
  •  W. Gritz, A. Hoppe, and R. Ewerth:
    On the Influence of Reading Sequences on Knowledge Gain During Web Search
    In: European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, pp. 364–373. Springer, 2024.
    https://doi.org/10.1007/978-3-031-56063-7_28

Publications 2023

  • J. Ghauri,  E. Müller-Budack, R. Ewerth:
    Classification of Visualization Types and Perspectives in Patents
    In: Proceedings of International Conference on Theory and Practice of Digital Libraries, TPDL, Zadar, Croatia, 2023
    https://arxiv.org/abs/2307.10471

  • M. Roski, R. Sebastian, R. Ewerth, A. Hoppe, A. Nehring:
    Dropout Prediction in a Web Environment Based on Universal Design for Learning.
    In: International Conference on Artificial Intelligence in Education (pp. 515-527). Cham: Springer Nature Switzerland, 2023
    https://link.springer.com/chapter/10.1007/978-3-031-36272-9_42

  • E. Entrup, A. Eppelin, R. Ewerth, J. Hartwig, M. Tullney, M. Wohlgemuth, A. Hoppe:
    Comparing different search methods for the open access journal recommendation tool B!SON
    In: International Journal on Digital Libraries, 2023
    https://doi.org/10.1007/s00799-023-00372-3

  • G. Tahmasebzadeh, S. Hakimov, R. Ewerth, E. Müller-Budack:
    Multimodal Geolocation Estimation of News Photos
    In: Advances in Information Retrieval: 45th European Conference on Information Retrieval 204-220, 2023
    https://link.springer.com/chapter/10.1007/978-3-031-28238-6_14

  • G. Tahmasebzadeh, E. Müller-Budack, S. Hakimov, R. Ewerth:
    MM-Locate-News: Multimodal Focus Location Estimation in News
    In: 29th International Conference on Multimedia Modeling, 204–216, 2023
    https://link.springer.com/chapter/10.1007/978-3-031-27077-2_16

  • W. Gritz, C. Otto, A. Hoppe, G. Pardi, Y. Kammerer, R. Ewerth:
    Comparing Interface Layouts for the Presentation of Multimodal Search Results
    In: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, CHIIR 2023, Austin, Texas, USA, March 19-23, 321–327, 2023
    https://doi.org/10.1145/3576840.3578335

  • M. Stamatakis, W. Gritz, J. Oldag, A. Hoppe, S. Schanze, R. Ewerth:
    Automatic Analysis of Student Drawings in Chemistry Classes
    In: Proceedings of International Conference on Artificial Intelligence in Education (AIED), Tokyo, Japan, July 3-7, 824–829, 2023
    https://doi.org/10.1007/978-3-031-36272-9_78

  • J. Stanja, W. Gritz, J. Krugel, A. Hoppe, S. Dannemann:
    Formative assessment strategies for students’ conceptions - The potential of learning analytics
    In: British Journal of Educational Technology, 54(1), 58–75, 2023
    https://doi.org/10.1111/bjet.13288

  • S. Tahmasebi, S. Hakimov, R. Ewerth, E. Müller-Budack: 
    Improving Generalization for Multimodal Fake News Detection.
    In: ICMR '23: Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, Thessaloniki, Greece, June 12 - 15, 2023
    https://dl.acm.org/doi/10.1145/3591106.3592230

  • G. S. Cheema, S. Hakimov, E. Müller-Budack, C. Otto, J. A. Bateman, R. Ewerth: 
    Understanding Image-Text Relations and News Values for Multimodal News Analysis.
    Frontiers in Artificial Intelligence, 2023
    https://doi.org/10.3389/frai.2023.1125533

  • J. Theiner, R. Ewerth: 
    TVCalib: Camera Calibration for Sports Field Registration in Soccer.
    In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
    https://doi.org/10.1109/WACV56688.2023.00122

Publications 2022

  • E. Entrup, A. Eppelin, R. Ewerth, J. Hartwig, M. Tullney, M. Wohlgemuth, A. Hoppe:
    B!SON: A Tool for Open Access Journal Recommendation
    In: Proceedings of the International Conference on Theory and Practice of Digital Libraries (TPDL), 2022
    https://doi.org/10.1007/978-3-031-16802-4_33

  • R. Sebastian, R. Ewerth, A. Hoppe:
    Grade Level Filtering for Learning Object Search using Entity Linking.
    In: Joint Proceedings of the 10th International Workshop on News Recommendation and Analytics (INRA 2022) and the 3rd International Workshop on Investigating Learning During Web Search (IWILDS 2022) Co-Located with 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), 3411, 9, 2022
    https://ceur-ws.org/Vol-3411/IWILDS-paper3.pdf

  • S. Giancola, [...], J. Theiner, et al.:  
    SoccerNet 2022 Challenges Results
    In: MMSports@MM 2022: Proceedings of the 5th International {ACM} Workshop on Multimedia Content Analysis in Sports, 2022
    https://doi.org/10.1145/3552437.3558545

  • C. Otto, M. Stamatakis, A. Hoppe, R. Ewerth: 
    Predicting Knowledge Gain for MOOC Video Consumption
    In: Proceedings of the 23rd International Conference on Artificial Intelligence in Education (AIED) 2022, accepted for publication

  • G. S. Cheema, S. Hakimov, A. Sittar, E. Müller-Budack, C. Otto, R. Ewerth: 
    MM-Claims: A Dataset for Multimodal Claim Detection in Social Media
    In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) 2022, accepted for publication
    Preprint: https://arxiv.org/abs/2205.01989

  • A. Brack, A. Hoppe, P. Buschermöhle, R. Ewerth:
    Cross-Domain Multi-Task Learning for Sequential Sentence Classification in Research Papers,
    In: Joint Conference on Digital Libraries (JCDL), 2022
    Best Student Paper Award
    https://dl.acm.org/doi/abs/10.1145/3529372.3530922

  • S. Hakimov, G. S. Cheema, R. Ewerth:
    TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes
    In: SemEval 2022 Workshop, Co-located with NAACL-HLT 2022, accepted for publication
    Preprint: https://arxiv.org/abs/2204.06299

  • M. Huff, A. Hoppe, G. Bruns, R. Ewerth,  M. Merkt: 
    Pushing the button: Why do learners pause online videos?
    In: Computers and Education, Vol. 176, Elsevier, 2022 
    https://doi.org/10.1016/j.compedu.2021.104355

  • C. Otto, M. Rokicki, G. Pardi, W. Gritz, D. Hienert, R. Yu, J. von Hoyer, A. Hoppe, S. Dietze, P. Holtz, Y. Kammerer, R. Ewerth: 
    SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search
    In: Proceedings of 7th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR) 2022
    https://doi.org/10.1145/3498366.3505835

  • J. Theiner, E. Müller-Budack, R. Ewerth:
    Interpretable Semantic Photo Geolocalization
    In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
    https://ieeexplore.ieee.org/document/9706749

  • J. Theiner, W. Gritz, E. Müller-Budack, R. Rein, D. Memmert, R. Ewerth
    Extraction of Positional Player Data from Broadcast Soccer Videos
    In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
    https://ieeexplore.ieee.org/document/9707039

Publications 2021

  • S. Hakimov and R. Ewerth:
    Combining Textual Features for the Detection of Hateful and Offensive Language
    In: HASOC 2021 - Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages, co-located with Forum for Information Retrieval Evaluation (FIRE)
    http://ceur-ws.org/Vol-3159/T1-40.pdf

  • A. Brack, A. Hoppe, R. Ewerth:
    Citation Recommendation for Research Papers via Knowledge Graphs
    In: International Conference on Theory and Practice of Digital Libraries (TPDL), Virtual Event, 2021, 165-174
    https://doi.org/10.1007/978-3-030-86324-1_20

  • S. Gottschalk, E. Kacupaj, S. Abdollahi, D. Alves, G. Amaral, E. Koutsiana, T. Kuculo, D. Major, C. Mello, G. S. Cheema, A. Sittar, Swati, G. Tahmasebzadeh, G. Thakkar:
    OEKG: The Open Event Knowledge Graph
    In: 2nd International Workshop on Cross-lingual Event-centric Open Analytics co-located with The Web Conference 2021
    http://ceur-ws.org/Vol-2829/paper5.pdf

  • M. Springstein, S. Schneider, J. Rahnama, E. Hüllermeier, H. Kohle, R. Ewerth:
    iART: A Search Engine for Art-Historical Images to Support Research in the Humanities 
    In: Proceedings of ACM Int'l Conference on Multimedia (ACMMM) 2021, 2801-2803.
    arxiv.org/abs/2108.01542

  • H. Biermann, J. Theiner, M. Bassek, D. Raabe, D. Memmert, R. Ewerth
    A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games
    In: Proceedings of the 4th International Workshop on Multimedia Content Analysis in Sports @ ACM Multimedia Conference, Chengdu, China, 2021, accepted for publication
    Preprint: https://arxiv.org/abs/2108.11149
  • W. Gritz, A. Hoppe, R. Ewerth:
    On the Impact of Features and Classifiers for Measuring Knowledge Gain during Web Search - A Case Study
    In: International Workshop on Investigating Learning During Web Search Co-Located with the International Conference on Information and Knowledge Management, IWILDS@CIKM 2021, Gold Coast, Queensland, Australia, November 1-5, 2021
    http://ceur-ws.org/Vol-3052/paper6.pdf

  • E. Navarrete, A. Hoppe, R. Ewerth:
    A Review on Recent Advances in Video-based Learning Research: Video Features, Interaction, Tools, and Technologies
    In: Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), Gold Coast, Queensland, Australia, November 1-5, 2021
    http://ceur-ws.org/Vol-3052/paper7.pdf

  • E. Müller-Budack, K. Pustu-Iren, S. Diering, M. Springstein, R. Ewerth:
    Image Analytics in Web Archives
    In: The Past Web, 2021, 141-151

  • A. Brack, A. Hoppe, M. Stocker, S. Auer, R. Ewerth:
    Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies
    In: Proceedings of International Journal on Digital Libraries (IJDL), Special Issue (Best papers from TPDL 2019 and TPDL 2020), 2021
    https://arxiv.org/abs/2102.06021 

  • K. Pustu-Iren, E. Müller-Budack, S. Hakimov, R. Ewerth:
    Visualizing Copyright-protected Video Archive Content Through Similarity Search
    In: Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), 2021, 123-127. (demo paper)

  • K. Pustu-Iren, G. Bruns, R. Ewerth:
    A Multimodal Approach for Semantic Patent Image Retrieval
    In: Proceedings of Workshop on Patent Text Mining and Semantic Technologies, co-located with International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021, 45-49
    http://ceur-ws.org/Vol-2909/paper6.pdf 

  • J. Lienen, E. Hüllermeier, R. Ewerth, N. Nommensen: 
    Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model 
    In: Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 14595-14604
    https://openaccess.thecvf.com/content/CVPR2021/papers/Lienen_Monocular_Depth_Estimation_via_Listwise_Ranking_Using_the_Plackett-Luce_Model_CVPR_2021_paper.pdf 

  • C. Otto, R. Yu, G. Pardi, J. von Hoyer, M. Rokicki, A. Hoppe, P. Holtz, Y. Kammerer, S. Dietze, R. Ewerth:
    Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption
    In: Proceedings of International Conference on Artificial Intelligence in Education (AIED), Utrecht, Netherlands, 2021, 318-330
    https://doi.org/10.1145/3498366.3505835

  • A. Hoppe, D. Morris, R. Ewerth:
    Evaluation of Automated Image Descriptions for Visually Impaired Students
    In: Proceedings of International Conference on Artificial Intelligence in Education (AIED), Utrecht, Netherlands, 2021, 196-201
    https://arxiv.org/pdf/2106.15553.pdf 

  • G. Tahmasebzadeh, E. Kacupaj, E. Müller-Budack, S. Hakimov, J. Lehmann, R. Ewerth:
    GeoWINE: Geolocation based Wiki, Image, News and Event Retrieval
    In: Proceedings of 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021, 2565-2569
    https://arxiv.org/pdf/2104.14994.pdf  

  • M. Springstein, E. Müller-Budack, R. Ewerth:
    QuTI! Quantifying Text-Image Consistency in Multimodal Documents
    In: Proceedings of 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021, 2575-2579
    https://arxiv.org/pdf/2104.13748.pdf  

  • A. Brack, D. Müller, A. Hoppe, R. Ewerth:
    Coreference Resolution in Research Papers from Multiple Domains
    In: Proceedings of European Conference on Information Retrieval (ECIR), Part 1, 2021, 79-97.
    https://doi.org/10.1007/978-3-030-72113-8_6

  • E. Müller-Budack, M. Springstein, K. Mrutzek, S. Hakimov, R. Ewerth:
    Ontology-driven Event Classification in Images
    In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021, 2928-2938
    https://openaccess.thecvf.com/content/WACV2021/html/Muller-Budack_Ontology-Driven_Event_Type_Classification_in_Images_WACV_2021_paper.html

  • G. S. Cheema, S. Hakimov, R. Ewerth
    Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features
    In: Proceedings of the Eleventh International Conference of the CLEF Association (CLEF) 2020
    http://ceur-ws.org/Vol-2696/paper_216.pdf

  • G. S. Cheema, S. Hakimov, R. Ewerth
    TIB's Visual Analytics Group at MediaEval'20: Detecting Fake News on Corona Virus and 5G Conspiracy
    In: Proceedings of the MediaEval 2020 Workshop
    http://ceur-ws.org/Vol-2882/paper56.pdf

  • E. Müller-Budack, J. Theiner, S. Diering, M. Idahl, S. Hakimov, R. Ewerth:
    Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistency
    In: International Journal on Multimedia Information Retrieval, 2021, Vol. 10, Issue 2 (Top Papers from ICMR 2020)
    https://doi.org/10.1007/s13735-021-00207-4

  • G. S. Cheema, S. Hakimov, E. Müller-Budack, R. Ewerth:
    On the Role of Images for Analyzing Claims in Social Media
    In: Proceedings of 2nd Int’l CLEOPATRA Workshop on Cross-lingual Event-centric Open Analytics, co-located with Web Conference (WebConf), 2021, 32-46
    http://ceur-ws.org/Vol-2829/paper3.pdf 

Publications 2020

  • G. S. Cheema, S. Hakimov, R. Ewerth
    Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features
    In: Proceedings of the Eleventh International Conference of the CLEF Association (CLEF) 2020
    http://ceur-ws.org/Vol-2696/paper_216.pdf

  • G. S. Cheema, S. Hakimov, R. Ewerth
    TIB's Visual Analytics Group at MediaEval'20: Detecting Fake News on Corona Virus and 5G Conspiracy
    In: Proceedings of the MediaEval 2020 Workshop
    http://ceur-ws.org/Vol-2882/paper56.pdf

  • G. S. Cheema, S. Hakimov, E. Müller-Budack, R. Ewerth:
    On the Role of Images for Analyzing Claims in Social Media
    In: Proceedings of 2nd Int’l CLEOPATRA Workshop on Cross-lingual Event-centric Open Analytics, co-located with Web Conference (WebConf), 2021, 32-46
    http://ceur-ws.org/Vol-2829/paper3.pdf

  • E. Müller-Budack, J. Theiner, S. Diering, M. Idahl, R. Ewerth:
    Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistency
    In: ACM International Conference on Multimedia Retrieval (ICMR), Dublin, Ireland (online event), 2020, 16-25
    Best Paper Award
    https://dl.acm.org/doi/pdf/10.1145/3372278.3390670  

  • J. Ghauri, S. Hakimov, R. Ewerth:
    Classification of important segments in educational videos using multimodal features
    In: Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management, CIKM, Galway, Ireland, October 19-23, 202
    https://arxiv.org/pdf/2010.13626.pdf

  • K. Pustu-Iren, J. Sittel , R. Mauer, O. Bulgakowa, R. Ewerth: 
    Automated Visual Content Analysis for Film Studies: Current Status and Challenges 
    In: Digital Humanities Quarterly (DHQ), Volume 14, Issue 4, 2020
    Vorschau auf: http://www.digitalhumanities.org/dhq/vol/14/4/000518/000518.html 

  • S. Schneider, M. Springstein, J. Rahnama, E. Hüllermeier, R. Ewerth, H. Kohle:
    The Dissimilar in the Similar. An Attribute-guided Approach to the Subject-specific Classification of Art-historical Objects
    In: Workshop InfDH 2020: "Methoden und Anwendungen der Computational Humanities" @INFORMATIK 2020, Gesellschaft für Informatik eV, Karlsruhe, Germany (online event), 2020
    https://dl.gi.de/handle/20.500.12116/34717 

  • J. Armitage, E. Kacupaj, G. Tahmasebzadeh, Swati, M. Maleshkova, R. Ewerth, J. Lehmann:
    MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities
    In: Proceedings of ACM International Conference on Information and Knowledge Management (CIKM), online event, 2020, 2967-2974
    https://arxiv.org/abs/2008.06376 

  • A. Brack, A. Hoppe, M. Stocker, S. Auer, R. Ewerth:
    Requirements Analysis for an Open Research Knowledge Graph
    In: International Conference on Theory and Practice of Digital Libraries (TPDL), Lyon, France (online event), 2020, 3-18
    https://arxiv.org/pdf/2005.10334.pdf

  • G. Tahmasebzadeh, S. Hakimov, E. Müller-Budack, R. Ewerth:
    A Feature Analysis for Multimodal News Retrieval
    In: 1st International Workshop on Cross-lingual Event-centric Open Analytics @the 17th Extended Semantic Web Conference (ESWC), Heraklion, Crete, Greece (online event), 2020, 43-56
    Best Paper Award
    http://ceur-ws.org/Vol-2611/paper4.pdf

  • C. Otto, M. Springstein, A. Anand, R. Ewerth:
    Characterization and Classification of Semantic Image-Text Relations
    In: International Journal on Multimedia Information Retrieval, Special Issue (Top papers of ACM ICMR 2019), Vol. 9, Issue 1, 2020, 31–45

    https://doi.org/10.1007/s13735-019-00187-6

  • M. Tavakoli, S. Hakimov, R. Ewerth, G. Kismihok:
    A Recommender System For Open Educational Videos Based On Skill Requirements
    In: International Conference on Advanced Learning Technologies (ICALT),Tartu, Estonia (online event), 2020. 
    Best Paper Candidate
    https://arxiv.org/pdf/2005.10595.pdf 

  • J. D'Souza, A. Hoppe, A. Brack, M. Y. Jaradeh, S. Auer, R. Ewerth:
    The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources
    In: Language Resources and Evaluation Conference (LREC), Marseille, France (online event), 2020, 2192-2203
    https://arxiv.org/pdf/2003.01006.pdf

  • A. Brack, J. D’Souza, A. Hoppe, S. Auer, R. Ewerth:
    Domain-independent Extraction of Scientific Concepts from Research Articles
    In: European Conference on Information Retrieval (ECIR), Lisboa, Portugal (online event), 2020, 251-266
    https://doi.org/10.1007/978-3-030-45439-5_17
    https://youtu.be/eHJTkFUxJgg?t=24195

  • D. Morris, E. Müller-Budack, R. Ewerth:
    SlideImages: A Dataset for Educational Image Classification
    In: European Conference on Information Retrieval (ECIR), Lisboa, Portugal (online event), 2020, 289-296.  
    doi.org/10.1007/978-3-030-45442-5_36
    https://arxiv.org/pdf/2001.06823.pdf  

Publications 2019

  • J. Shi, C. Otto, A. Hoppe, P. Holtz, R. Ewerth:
    Investigating Correlations of Automatically Extracted Multimodal Features and Lecture Video Quality
    In: Proceedings of the 1st International Workshop on Search as Learning with Multimedia Information @ACM Multimedia Conference, Nice, France, 2019, 11-19

    https://dl.acm.org/citation.cfm?doid=3347451.3356731

  • E. Müller-Budack, J. Theiner, R. Rein, R. Ewerth:
    "Does 4-4-2 exist?" - An Analytics Approach to Understand and Classify Football Team Formations in Single Match Situations
    In: Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports @ACM Multimedia Conference, Nice, France, 2019, 25-33

    https://arxiv.org/pdf/1910.00412

  • D. Morris, P. Tang, R. Ewerth:
    A Neural Approach for Text Extraction from Scholarly Figures
    In: International Conference on Document Analysis and Recognition (ICDAR), Sydney, Australia, 2019, 1438-1443

    https://ieeexplore.ieee.org/document/8978202

  • K. Pustu-Iren, M. Mühling, N. Korfhage, J. Bars, S. Bernhöft,  A. Hörth, B. Freisleben, R. Ewerth:
    Investigating Correlations of Inter-coder Agreement and Machine Annotation Performance for Historical Video Data
    In: International Conference on Theory and Practice of Digital Libraries (TPDL), Oslo, Norway, 2019, 107-114

    https://arxiv.org/abs/1907.10450

  • H. Zhou, C. Otto, R. Ewerth:
    Visual Summarization of Scholarly Videos using Word Embeddings and Keyphrase Extraction
    In: International Conference on Theory and Practice of Digital Libraries (TPDL), Oslo, Norway, 2019, 327-335

    https://link.springer.com/chapter/10.1007%2F978-3-030-30760-8_28

  • C. Otto, M. Springstein, A. Anand, R. Ewerth:
    Understanding, Categorizing and Predicting Semantic Image-Text Relations 
    In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), Ottawa, Canada, 2019, 168-176
    Best Paper Award
    https://dl.acm.org/citation.cfm?id=3325049

  • C. Otto, S. Holzki, R. Ewerth:
    ''Is this an example image?'' – Predicting the Relative Abstractness Level of Image and Text
    In: Proceedings of the 41st European Conference on Information Retrieval (ECIR), Cologne, Germany, 2019, 711-725

    https://doi.org/10.1007/978-3-030-15712-8_46

Publications 2018

  • E. Müller-Budack, K. Pustu-Iren, R. Ewerth:
    Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification
    In: Proceedings of European Conference on Computer Vision (ECCV), München, 2018, 575-592
    http://openaccess.thecvf.com/content_ECCV_2018/html/Eric_Muller-Budack_Geolocation_Estimation_of_ECCV_2018_paper.html

  • E. Müller-Budack, K. Pustu-Iren, S. Diering, R. Ewerth:
    Finding Person Relations in Image Data of News Collections in the Internet Archive
    In: Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), Porto, Portugal, 2018, 229-240
    Honorable Mention Award
    https://arxiv.org/abs/1806.08246

  • J. Medrek, C. Otto, R. Ewerth:
    Recommending Scientific Videos based on Metadata Enrichment using Linked Open Data
    In: Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), Porto, Portugal, 2018, 286-292

    https://doi.org/10.1007/978-3-030-00066-0_25

  • A. Hoppe, J. Hagen, H. Holzmann, G. Kniesel, R. Ewerth:
    Towards an Analytics Tool for Exploring Scientific Software and Related Publications
    Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), Porto, Portugal, 2018, 299-303

    https://arxiv.org/abs/1806.07603 

  • M. Springstein, H. H. Nguyen, A. Hoppe, R. Ewerth:  
    TIB-arXiv: An Alternative Search Portal for the arXiv Pre-print Server
    In Proceedings of International Conference on Theory and Practice of Digital Libraries (TPDL), Porto, Portugal, 2018, 295-298

    https://arxiv.org/abs/1806.06796

  • A. Ceroni, M. Chang, R. Ewerth: 
    Mining Exoticism from Images via Fusion-based Networks
    In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), Yokohama, Japan, ACM, 2018, 37-45
    Best Paper Candidate
    https://dl.acm.org/citation.cfm?doid=3206025.3206044  
  • A. Hoppe, P. Holtz, Y. Kammerer, R. Yu, S. Dietze, R. Ewerth: 
    Current Challenges for Studying Search as Learning Processes
    Linked Learning Workshop – Learning and Education with Web Data (LILE), in conjunction with ACM Conference on Web Science, Amsterdam, 2018
  • C. A. Henning, R. Ewerth:
    Estimating the Information Gap between Textual and Visual Representations 
    In: Intenational Journal on Multimedia Information Retrieval (IJMIR), Springer, Invited paper (Top papers of  ACM ICMR 2017), Volume 7, Issue 1, 2018, 43-56
    https://link.springer.com/article/10.1007/s13735-017-0142-y

Publications 2017

  • M. Mühling, N. Korfhage, E. Müller, C. Otto, M. Springstein, T. Langelage, U. Veith, R. Ewerth, B. Freisleben: 
    Deep learning for content-based video retrieval in film and television production. 
    In: Multimedia Tools and Applications, 2017, 1-26
    https://link.springer.com/article/10.1007/s11042-017-4962-9

  • C. A. Henning, R. Ewerth:
    Estimating the Information Gap between Textual and Visual Representations
    In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), Bucharest, Romania, ACM, 2017, 14-22
    Best Multimodal Paper Award 
    doi.org/10.1145/3078971.3078991

  • R. Ewerth, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok, K. Dembczyński, E. Hüllermeier:
    Estimating Relative Depth in Single Images via Rankboost
    In: Proceedings of IEEE 18th International Conference on Multimedia & Expo (ICME), Hongkong, IEEE Press, 2017, 919-924
    https://doi.org/10.1109/ICME.2017.8019434

  • E. Müller, M. Springstein, R. Ewerth: 
    "When was this picture taken?" – Image Date Estimation in the Wild
    In: Proceedings of 39th European Conference on Information Retrieval (ECIR), Aberdeen, UK, 2017, 619-625
    https://link.springer.com/chapter/10.1007/978-3-319-56608-5_57
  • R. Ewerth, M. Springstein, L.A. Phan-Vogtmann, J. Schütze: 
    "Are Machines Better in Image Tagging?" – A User Study Adds to the Puzzle
    In: Proceedings of 39th European Conference on Information Retrieval (ECIR), Aberdeen, UK, 2017, 186-198
    https://link.springer.com/chapter/10.1007/978-3-319-56608-5_15 
  • M. Springstein, R. Ewerth: On the Effects of Spam Filtering and Incremental Learning for Web-supervised Visual Concept Classification In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), New York, ACM, 2016, 377-380 
    http://dl.acm.org/citation.cfm?id=2912072

Publications 2016

  • E. Müller, C. Otto, R. Ewerth: 
    Semi-supervised Identification of Rarely Appearing Persons in Video
    In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), New York, ACM, 2016, 381-384
    http://dl.acm.org/citation.cfm?id=2912073
  • M. Mühling, M. Meister, N. Korfhage, J. Wehling, A. Hörth, R. Ewerth, B. Freisleben: 
    Content-Based Video  Retrieval in Historical Collections of the German Broadcasting  Archive
    In: Theory and Practice of Digital Libraries, TPDL, Hannover, 2016, 67-78

Publications 2015

  • M. Mühling, R. Ewerth, B. Freisleben:
    Improving Cross-Domain Concept Detection via Object-based Features
    In: Proceedings of 18th International Conference on Computer Analysis of Images and Patterns, Malta, Springer, 2015, 359-370
  • R. Ewerth, A. Balz, J. Gehlhaar , K. Dembczyński, E. Hüllermeier: 
    Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches
    In: Proceedings of 25th Workshop on Computational Intelligence, Dortmund, KIT Scientific Publishing, 2015, 235-239

Publications 2012

  • R. Ewerth, K. Ballafkir, D. Seiler, M. Mühling, B. Freisleben:
    Long-Term Web-Supervised Learning via Random Savannas for Concept Detection in Images
    In: IEEE Transactions on Multimedia, Special Issue on “Learning Semantics from Web Ressources”, Volume 14 Issue 4, Part 1, 2012, 1008-1020
  • R. Ewerth, M. Mühling, B. Freisleben:
    Robust Video Content Analysis via Transductive Learning
    In: ACM Transactions on Intelligent Systems and Technology, Special Issue on Intelligent Multimedia Systems and Technology Part II, Volume 3, No. 3, Article No. 41, 2012, 1-26
  • M. Mühling, R. Ewerth, J. Zhou, B. Freisleben:
    Multimodal Video Concept Detection via Bag of Auditory Words and Multiple Kernel Learning
    In: Proceedings of 18th International Conference on MultiMedia Modelling (MMM 2012), Klagenfurt, Austria, Lecture Notes on Computer Science, Volume 7131, Springer, 2012, 40-50
  • P. Abend, T. Thielmann, R. Ewerth, D. Seiler, M. Mühling, J. Döring, M. Grauer, B. Freisleben: 
    Geobrowsing Behaviour in Google Earth – A Semantic Video Content Analysis of On-screen Navigation
    In: Proceedings of 2012 Geoinformatik Forum, 2012, 2-13

Publications 2011

  • M. Mühling, R. Ewerth, B. Shi, B. Freisleben: 
    Multi-class Object Detection via Hough Forests Using Local Histograms of Visual Words
    In: Proceedings of 14th Int’l Conference on Computer Analysis of Images and Patterns (CAIP), Seville, Spain, Lecture Notes on Computer Science (LNCS), Volume 6854, Springer, 2011, 386-393
  • M. Mühling, R. Ewerth, B. Shi, B. Freisleben: 
    On the Spatial Extents of SIFT Descriptors for Visual Concept Detection
    In: Proceedings of 8th Int’l Conference on Computer Vision Systems (ICVS), Sophia Antipolis, Lecture Notes on Computer Science (LNCS), Volume 6962, Springer, 2011, 71-80
  • D. Seiler, E. Juhnke, R. Ewerth, M. Grauer, B. Freisleben: 
    Efficient Data Transmission Between Multimedia Web Services via Aspect-Oriented Programming
    In: Proceedings of ACM International Conference on Multimedia Systems (MMSys 2011), San Jose, USA, ACM Press, 2011, 93-104
  • E. Juhnke, D. Seiler, R. Ewerth, M. Smith, B. Freisleben: 
    Request/Response Aspects for Web Services
    In: Proceedings of 23rd International Conference on Advanced Information Systems Engineering (CAiSE) 2011, London, United Kingdom, Lecture Notes on Computer Science (LNCS), Volume 6741, Springer, 627-641
  • P. Abend, T. Thielmann, R. Ewerth, D. Seiler, M. Mühling, J. Döring, M. Grauer, B. Freisleben: 
    Geobrowsing the Globe: A Geovisual Analysis of Google Earth Usage
    In: Proceedings of Linking GeoVisualization with Spatial Analysis and Modeling (GeoViz) 2011, Hamburg, 1-3

Publications 2010

  • T. Stadelmann, Y. Wang, M. Smith, R. Ewerth, B. Freisleben:
    Rethinking Algorithm Design and Development in Speech Processing
    In: Proceedings of 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2010, 4476-4479
  • R. Ewerth, J. P. Harries, B. Freisleben: 
    Mobile OCR on the iPhone for Different Types of Text Documents
    In: Proceedings of 2nd International Workshop on Mobile Multimedia Processing (in conjunction with 20th International Conference on Pattern Recognition), Istanbul, Turkey, 2010, 1-8

Publications 2009

  • R. Ewerth, B. Freisleben: 
    Performance Prediction for Unsupervised Video Indexing
    In: Proceedings of 13th International Conference on Computer Analysis of Images and Patterns, Münster, 2009, 1036-1043
  • R. Ewerth, B. Freisleben:
    Unsupervised Detection of Gradual Shot Changes with Motion-Based False Alarm Removal
    In: Proceedings of 8th International Conference on Advanced Concepts for Intelligent Vision Systems, Bordeaux, 2009, 253-264
  • M. Mühling, R. Ewerth, B. Freisleben:
    Improving Semantic Video Retrieval via Object-Based Features
    In: Proceedings of 3rd IEEE International Conference on Semantic Computing, San Diego, USA, 2009, 109-115
  • M. Schwalb, R. Ewerth, B. Freisleben:
    Fast Motion Estimation on Graphics Hardware for H.264 Video Encoding
    In: IEEE Transactions on Multimedia, Volume 11, No. 1, January 2009, 1-10
  • S. Heinzl, D. Seiler, E. Juhnke, T. Stadelmann, R. Ewerth, M. Grauer, B. Freisleben:
    A Scalable Service-Oriented Architecture for Multimedia Analysis, Synthesis, and Consumption
    In: International Journal of Web and Grid Services, Inderscience Publishers, Vol. 5, Issue 3, 2009, 219-260

Publications 2008

  • R. Ewerth: 
    Robust Video Content Analysis via Transductive Learning Methods 
    Dissertation. Philipps-Universität Marburg, Germany, 2008
    Südwestdeutscher Verlag für Hochschulschriften, Stuttgart, ISBN: 978-3-8381-0120-0 
    Online: http://archiv.ub.uni-marburg.de/diss/z2008/0478/
  • D. Seiler, S. Heinzl, E. Juhnke, R. Ewerth, M. Grauer, B. Freisleben:
    Efficient Data Transmission in Service Workflows for Distributed Video Content Analysis
    Best Paper Candidate. In: Proceedings of the 6th International Conference on Advances in Mobile Computing & Multimedia (MoMM2008), ACM and OCG Book Series, 2008, 7-14

Publications 2007

  • R. Ewerth, M. Mühling, B. Freisleben:
    Self-Supervised Learning of Face Appearances in TV Casts and Movies
    Invited Paper (Best papers from IEEE International Symposium on Multimedia ‘06): International Journal on Semantic Computing, World Scientific, June 2007, 185-204
  • R. Ewerth, B. Freisleben:
    Adapting Appearance Models of Semantic Concepts for a Particular Video via Transductive Learning
    In: Proceedings of 13th ACM International Workshop on Multimedia Information Retrieval, Augsburg, Germany, ACM Press, 2007, 187-196
  • R. Ewerth, M. Schwalb, P. Tessmann, B. Freisleben:
    Segmenting Moving Objects in the Presence of Camera Motion
    In: Proceedings of 14th International Conference on Image Analysis and Processing Modena, Italy, IEEE Press, 2007, 819-824
  • R. Ewerth, B. Freisleben:
    Semi-Supervised Learning for Semantic Video Retrieval
    In: Proceedings of ACM International Conference on Image and Video Retrieval (CIVR), Amsterdam, The Netherlands, ACM Press, 2007, 154-161
  • R. Ewerth, M. Schwalb, B. Freisleben:
    Using Depth Features to Retrieve Monocular Video Shots
    In: Proceedings of ACM International Conference on Image and Video Retrieval (CIVR), Amsterdam, The Netherlands, ACM Press, 2007, 210-217
  • M. Mühling, R. Ewerth, T. Stadelmann, B. Freisleben, R. Weber, K. Mathiak
    Semantic Video Analysis for Psychological Research on Violence in Computer Games
    In: Proceedings of ACM International Conference on Image and Video Retrieval (CIVR), Amsterdam, The Netherlands, ACM Press, 2007, 611-618

Publications 2006

  • R. Ewerth, M. Mühling, B. Freisleben:
    Self-Supervised Learning of Face Appearances in TV Casts and Movies 
    Best Paper Candidate. 
    In: Proceedings of the 6th IEEE International Symposium on Multimedia 2006, San Diego, USA, IEEE Press, 2006, 78-85
  • R. Ewerth, B. Freisleben: 
    Self-Supervised Learning for Robust Video Indexing
    In: IEEE 7th International Conference on Multimedia & Expo, Toronto, Canada, IEEE Press, 2006, 1749-1752
  • M. Smith, B. Klose, R. Ewerth, T. Friese, M. Engel, B. Freisleben:
    Runtime Integration of Reconfigurable Hardware in Service-Oriented Grids
    In: Proceedings of the IEEE International Conference on Web Services (ICWS), Chicago, USA, IEEE Press, 2006, 945-948

Publications 2004

  • R. Ewerth, T. Friese, M. Grube, B. Freisleben: 
    Grid Services for Distributed Video Cut Detection
    In: Proceedings of the 6th IEEE Int. Symposium on Multimedia Software Engineering, Miami, USA, IEEE Press, 2004, 164-168
  • J. Gllavata, R. Ewerth, B. Freisleben: 
    A Text Detection, Localization and Segmentation System for OCR in Images
    In: Proceedings of the 6th IEEE Int. Symposium on Multimedia Software Engineering, Miami, USA, IEEE Press, 2004, 310-317
  • J. Gllavata, R. Ewerth, B. Freisleben:
    Tracking Text in MPEG Videos
    In: Proceedings of 12th ACM Conference on Multimedia, New York City, USA, ACM Press, 2004, 240-243
  • R. Ewerth, B. Freisleben:
    Video Cut Detection without Thresholds
    In: Proc. of 11th Workshop on Signals, Systems and Image Processing, Poznan, Poland, PTETiS, 2004, 227-230
  • R. Ewerth, B. Freisleben:
    Improving Cut Detection in MPEG Videos by GOP-Oriented Frame Difference Normalization
    In: Proceedings of 17th International Conference on Pattern Recognition, Vol. 2, Cambridge, UK, IAPR, IEEE Press, 2004, 807-810
  • J. Gllavata, R. Ewerth, B. Freisleben:
    Text Detection in Images Based on Unsupervised Classification of High-Frequency Wavelet Coefficients 
    In: Proc.of 17th International Conf. on Pattern Recognition, Vol. 1, Cambridge, UK, IAPR, IEEE Press, 2004, 425-428
  • R. Ewerth, M. Schwalb, P. Tessmann, B. Freisleben:
    Estimation of Arbitrary Camera Motion in MPEG Videos
    In: Proceedings of 17th International Conference on Pattern Recognition, Vol. 1, Cambridge, UK, IAPR, IEEE Press, 2004, 512-515
  • J. Gllavata, R. Ewerth, T. Stefi, B. Freisleben:
    Unsupervised Text Segmentation Using Color and Wavelet Features
    In: Proceedings of the 3rd International Conference on Image and Video Retrieval, Dublin, Ireland, LNCS 3115, Springer-Verlag, 2004, 216-224

Publications 2003

  • J. Gllavata, R. Ewerth, B. Freisleben:
    Finding Text in Images via Local Thresholding
    In: Proceedings of the IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2003), Darmstadt, Germany, IEEE Press, 2003, 539-542
  • R. Ewerth, B. Freisleben:
    Frame Difference Normalization: an Approach to Reduce Error Rates of Cut Detection Algorithms for MPEG Videos
    In: Proceedings of the IEEE International Conference on Image Processing, Vol. II, Barcelona, Spain, IEEE Press, 2003, 1009-1012
  • J. Gllavata, R. Ewerth, B. Freisleben:
    A Robust Algorithm for Text Detection in Images
    In: Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, Rome, Italy, 2003, 611-616

 

National Conferences and Workshops (peer-reviewed)

  • D. Seiler, R. Ewerth, S. Heinzl, T. Stadelmann, M. Mühling, B. Freisleben, M. Grauer: 
    Eine service-orientierte Grid-Infrastruktur zur Unterstützung medienwissenschaftlicher Filmanalyse 
    In: Proceedings of GeNeMe Workshop, Gemeinschaften in neuen Medien, Dresden, 2009

 

National Journals & Conferences (Abstract was peer-reviewed)

  • M. Mühling, M. Meister, R. Ewerth, B. Freisleben:
    Automatische Videoanalyse zur Erschließung von historischem TV-Material 
    In: info7 MEDIEN | ARCHIVE | INFORMATION, Jahrgang 30, Heft 2, 2015, Münster, 23-26
  • R. Ewerth, B. Freisleben: 
    Cloud-basierte Softwaredienste zur Suche in Bild- und Videoarchiven 
    In: FKT, Fachzeitschrift für Film, Fernsehen und Kino, Germany, 11/2014, 569-574

 

TRECVID Evaluations (Int’l Workshop, presuming a system submission)

 

International and National Journals, Book Chapters, Conferences and Workshops (without peer-review)

  • R. Ewerth, B. Freisleben:
    Automatic Classification of State Heads and Common People?
    In: Ludes, P. & Herzog, O. (ed.): Algorithms of Power – Key Invisibles, LIT Verlag, Münster, Germany, 2011, 93-114
  • R. Ewerth, M. Mühling, T. Stadelmann, D. Seiler, B. Freisleben:
    Multimedia Computing
    In: Research Report, High-Performance Computing in Hessen 2009, Darmstadt, 140-143
  • R. Ewerth, M. Mühling, T. Stadelmann, J. Gllavata, M. Grauer, B. Freisleben:
    Videana: A Software Tool for Scientific Film Studies
    In: Proceedings of International Workshop on Digital Tools in Film Studies, Siegen, Transcript Verlag, Bielefeld, Germany, 2009, 101-116
  • R. Ewerth, B. Freisleben:
    Verfahren zur automatischen Annotation und Erschließung von Videomaterial
    In: „Benutzerfreundlich – rationell – standardisiert. Aktuelle Anforderungen an archivische Erschließung und Findemittel“, Hrsg. Frank M. Bischoff, Tagungsband des 11. Archivwissenschaftlichen Kolloquiums 2006, Archivschule Marburg, 2007, 259-280
  • R. Ewerth, B. Freisleben:
    Computerunterstützte Filmanalyse mit Videana
    In: Augen-Blick: Hefte zur Medienwissenschaft, Heft 39, Schüren-Verlag, 2007, 54-66
  • R. Ewerth, B. Freisleben:
    Gesichtsdetektion und -erkennung in Bildern für die medienwissenschaftliche Analyse
    In: „Gesichtsdetektionen in den Medien des 20. Jahrhunderts“, W. Beilenhoff, W. Hülk, K. Kreimeier, und M. Erstic (eds.), Universi Verlag, 2006, 156-172
  • R. Ewerth, J. Gllavata, M. Gollnick, F. Mansouri, E. Papalilo, R. Sennert, J. Wagner, B. Freisleben, M. Grauer:
    Methoden und Werkzeuge zur rechnergestützten medienwissenschaftlichen Analyse
    In: Siegener Periodicum zur Internationalen Empirischen Literaturwissenschaft, 20, H. 2, 2003, 306-320
  • J. Ghauri, S. Hakimov, R. Ewerth:
    Supervised Video Summarization via Multiple Feature Sets with Parallel Attention
    In: Proceedings of IEEE 22nd International Conference on Multimedia & Expo (ICME), 2021.
    https://arxiv.org/pdf/2104.11530.pdf    

  • H. Kanafani, J. Ghauri, S. Hakimov, R. Ewerth:
    Unsupervised Video Summarization via Multi-source Features
    In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), Taipei, Taiwan, 2021.
    https://arxiv.org/pdf/2105.12532.pdf  

  • M. Springstein, E. Müller-Budack, R. Ewerth:
    Unsupervised Training Data Generation of Handwritten Formulas using Generative Adversarial Networks with Self-Attention
    In: Proceedings of Workshop on Multi-Modal Pre-Training for Multimedia Understanding, co-located with ACM International Conference on Multimedia Retrieval (ICMR), Taipei, Taiwan, 2021.
    https://arxiv.org/pdf/2106.09432.pdf 

  • G. S. Cheema, S. Hakimov, E. Müller-Budack, R. Ewerth:
    A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods
    In: Proceedings of Workshop on Multi-Modal Pre-Training for Multimedia Understanding, co-located with ACM International Conference on Multimedia Retrieval (ICMR), Taipei, Taiwan, 2021.
    https://arxiv.org/pdf/2106.08829.pdf 

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