Dr. Sherzod Hakimov

Publications in reversed chronological order. Generated by jekyll-scholar.

Number of publications: 21

2023

  1. [1]
    G. S. Cheema, S. Hakimov, E. Müller-Budack, C. Otto, J. A. Bateman, and R. Ewerth:
    Understanding Image-Text Relations and News Values for Multimodal News Analysis
    Frontiers in Artificial Intelligence, 6, pp. 1–29. Frontiers, 2023.
    https://doi.org/10.3389/frai.2023.1125533
  2. [2]
    G. Tahmasebzadeh, S. Hakimov, R. Ewerth, and E. Müller-Budack:
    Multimodal Geolocation Estimation of News Photos
    In: European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, pp. 204–220. Springer, 2023.
    https://doi.org/10.1007/978-3-031-28238-6_14
  3. [3]
    G. Tahmasebzadeh, E. Müller-Budack, S. Hakimov, and R. Ewerth:
    MM-Locate-News: Multimodal Focus Location Estimation in News
    In: International Conference on MultiMedia Modeling, MMM 2023, Bergen, Norway, January 9-12, 2023, pp. 204–216. Springer, 2023.
    https://doi.org/10.1007/978-3-031-27077-2_16
  4. [4]
    S. Tahmasebi, S. Hakimov, R. Ewerth, and E. Müller-Budack:
    Improving Generalization for Multimodal Fake News Detection
    In: ACM International Conference on Multimedia Retrieval, ICMR 2023, Thessaloniki, Greece, June 12-15, 2023, pp. 581–585. ACM, 2023.
    https://doi.org/10.1145/3591106.3592230

2022

  1. [1]
    G. S. Cheema, S. Hakimov, A. Sittar, E. Müller-Budack, C. Otto, and R. Ewerth:
    MM-Claims: A Dataset for Multimodal Claim Detection in Social Media
    In: Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022, pp. 962–979. Association for Computational Linguistics, 2022.
    https://doi.org/10.18653/v1/2022.findings-naacl.72
  2. [2]
    S. Hakimov, G. S. Cheema, and R. Ewerth:
    TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes
    In: International Workshop on Semantic Evaluation co-loacated with Annual Conference of the North American Chapter of the Association for Computational Linguistics, SemEval@NAACL 2022, Seattle, Washington, United States, July 14-15, 2022, pp. 756–760. Association for Computational Linguistics, 2022.
    https://doi.org/10.18653/v1/2022.semeval-1.105
  3. [3]
    S. Hakimov, G. S. Cheema, M. A. Kastner, R. R. Shah, and K. Sikka:
    MUWS’22: 1st International Workshop on Multimodal Understanding for the Web and Social Media
    In: Companion of The Web Conference 2022, Virtual Event, April 25 - 29, 2022, pp. 692–693. ACM, 2022.
    https://doi.org/10.1145/3487553.3524873

2021

  1. [1]
    G. S. Cheema, S. Hakimov, E. Müller-Budack, and R. Ewerth:
    On the Role of Images for Analyzing Claims in Social Media
    In: International Workshop on Cross-lingual Event-centric Open Analytics co-located with the Web Conference, CLEOPATRA@WWW 2021, Virtual Event, April 12, 2021, pp. 32–46. CEUR-WS.org, 2021.
    http://ceur-ws.org/Vol-2829/paper3.pdf
  2. [2]
    G. S. Cheema, S. Hakimov, E. Müller-Budack, and R. Ewerth:
    A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods
    In: Workshop on Multi-Modal Pre-Training for Multimedia Understanding co-located with the International Conference on Multimedia Retrieval, MMPT@ICMR 2021, Virtual Event, August 21, 2021, pp. 37–45. ACM, 2021.
    https://doi.org/10.1145/3463945.3469058
  3. [3]
    J. A. Ghauri, S. Hakimov, and R. Ewerth:
    Supervised Video Summarization Via Multiple Feature Sets with Parallel Attention
    In: IEEE International Conference on Multimedia and Expo, ICME 2021, Shenzhen, China, July 5-9, 2021, pp. 1–6s. IEEE, 2021.
    https://doi.org/10.1109/ICME51207.2021.9428318
  4. [4]
    H. Kanafani, J. A. Ghauri, S. Hakimov, and R. Ewerth:
    Unsupervised Video Summarization via Multi-source Features
    In: International Conference on Multimedia Retrieval, ICMR 2021, Taipei, Taiwan, August 21-24, 2021, pp. 466–470. ACM, 2021.
    https://doi.org/10.1145/3460426.3463597
  5. [5]
    E. Müller-Budack, J. Theiner, S. Diering, M. Idahl, S. Hakimov, and R. Ewerth:
    Multimodal news analytics using measures of cross-modal entity and context consistency
    International Journal of Multimedia Information Retrieval, 10(2), pp. 111–125, 2021.
    Invited Paper (Best Papers of ACM ICMR 2020)
    https://doi.org/10.1007/s13735-021-00207-4
  6. [6]
    E. Müller-Budack, M. Springstein, S. Hakimov, K. Mrutzek, and R. Ewerth:
    Ontology-driven Event Type Classification in Images
    In: IEEE Winter Conference on Applications of Computer Vision, WACV 2021, Virtual Event, January 3-8, 2021, pp. 2927–2937. IEEE, 2021.
    https://doi.org/10.1109/WACV48630.2021.00297
  7. [7]
    K. Pustu-Iren, E. Müller-Budack, S. Hakimov, and R. Ewerth:
    Visualizing Copyright-Protected Video Archive Content Through Similarity Search
    In: International Conference on Theory and Practice of Digital Libraries, TPDL 2021, Virtual Event, September 13-17, 2021, pp. 123–127. Springer, 2021.
    https://doi.org/10.1007/978-3-030-86324-1_15
  8. [8]
    G. Tahmasebzadeh, E. Kacupaj, E. Müller-Budack, S. Hakimov, J. Lehmann, and R. Ewerth:
    GeoWINE: Geolocation based Wiki, Image, News and Event Retrieval
    In: International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021, Virtual Event, July 11-15, 2021, pp. 2565–2569. ACM, 2021.
    https://doi.org/10.1145/3404835.3462786
  9. [9]
    S. Hakimov and R. Ewerth:
    Combining Textual Features for the Detection of Hateful and Offensive Language
    In: Working Notes of FIRE 2021 - Forum for Information Retrieval Evaluation, Gandhinagar, India, December 13-17, 2021, pp. 412–418. CEUR-WS.org, 2021.
    https://ceur-ws.org/Vol-3159/T1-40.pdf

2020

  1. [1]
    G. S. Cheema, S. Hakimov, and R. Ewerth:
    Check_square at CheckThat! 2020 Claim Detection in Social Media via Fusion of Transformer and Syntactic Features
    In: Working Notes of Conference and Labs of the Evaluation Forum, CLEF 2020, Virtual Event, September 22-25, 2020. CEUR-WS.org, 2020.
    https://ceur-ws.org/Vol-2696/paper_216.pdf
  2. [2]
    G. S. Cheema, S. Hakimov, and R. Ewerth:
    TIB’s Visual Analytics Group at MediaEval ’20: Detecting Fake News on Corona Virus and 5G Conspiracy
    In: Working Notes Proceedings of the MediaEval 2020 Workshop, Virtual Event, 14-15 December 2020. CEUR-WS.org, 2020.
    https://ceur-ws.org/Vol-2882/paper56.pdf
  3. [3]
    J. A. Ghauri, S. Hakimov, and R. Ewerth:
    Classification of Important Segments in Educational Videos using Multimodal Features
    In: CIKM 2020 Workshops co-located with the ACM International Conference on Information and Knowledge Management, CIKM 2020 Workshops, Galway, Ireland, October 19-23, 2020, 2699. CEUR-WS.org, 2020.
  4. [4]
    G. Tahmasebzadeh, S. Hakimov, E. Müller-Budack, and R. Ewerth:
    A Feature Analysis for Multimodal News Retrieval
    In: International Workshop on Cross-lingual Event-centric Open Analytics co-located with the Extended Semantic Web Conference, CLEOPATRA@ESWC 2020), Virtual Event, June 3, 2020, pp. 43–56. CEUR-WS.org, 2020.
    Best Paper Award
    http://ceur-ws.org/Vol-2611/paper4.pdf
  5. [5]
    M. Tavakoli, S. Hakimov, R. Ewerth, and G. Kismihók:
    A Recommender System For Open Educational Videos Based On Skill Requirements
    In: IEEE International Conference on Advanced Learning Technologies, ICALT 2020, Tartu, Estonia, July 6-9, 2020, pp. 1–5. IEEE, 2020.
    https://doi.org/10.1109/ICALT49669.2020.00008