My research interests lie at the intersection between Sports Analytics, Computer Vision, and Deep Learning. My current work focuses on camera calibration for sports field registration and enrichment of player position data with visual information. Before that I was working on large-scale visual place recognition from photos.

2023

• J. Theiner and R. Ewerth:

  TVCalib: Camera Calibration for Sports Field Registration in Soccer

  In: IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, Waikoloa, HI, USA, January 2-7, 2023, pp. 1166–1175. IEEE, 2023.

  https://doi.org/10.1109/WACV56688.2023.00122

• J. Theiner, N. Nommensen, J. Rhotert, M. Springstein, E. Müller-Budack, and R. Ewerth:

  Analyzing Results of Depth Estimation Models With Monocular Criteria

  In: Explainable AI for Computer Vision Workshop co-located with the IEEE/CFV Conference on Computer Vision and Pattern Recognition, XAI4CV@CVPR 2023, Vancouver, Canada, June 19, pp. 3738-3742. IEEE/CVF, 2023.

  https://openaccess.thecvf.com/content/CVPR2023W/XAI4CV/html/Theiner_Analyzing_Results_of_Depth_Estimation_Models_With_Monocular_Criteria_CVPRW_2023_paper.html

2022

• J. Theiner, W. Gritz, E. Müller-Budack, R. Rein, D. Memmert, and R. Ewerth:

  Extraction of Positional Player Data from Broadcast Soccer Videos

  In: IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022, pp. 1463–1473. IEEE, 2022.

  https://doi.org/10.1109/WACV51458.2022.00153

• J. Theiner, E. Müller-Budack, and R. Ewerth:

  Interpretable Semantic Photo Geolocation

  In: IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022, pp. 1474–1484. IEEE, 2022.

  https://doi.org/10.1109/WACV51458.2022.00154

• S. Giancola, [...], J. Theiner, et al.:

  SoccerNet 2022 Challenges Results

  In: Workshop on Multimedia Content Analysis in Sports co-located with the ACM Multimedia Conference, MMSports@MM 2022, Lisboa, Portugal, October 14, pp. 75–86. ACM, 2022.

  https://doi.org/10.1145/3552437.3558545

2021

• 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

• H. Biermann, J. Theiner, M. Bassek, D. Raabe, D. Memmert, and R. Ewerth:

  A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games

  In: International Workshop on Multimedia Content Analysis in Sports co-located with the ACM Multimedia Conference, MMSports@MM 2021, Virtual Event, China, October 20, pp. 1–10. ACM, 2021.

  https://doi.org/10.1145/3475722.3482792

2020

• E. Müller-Budack, J. Theiner, S. Diering, M. Idahl, and R. Ewerth:

  Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistency

  In: International Conference on Multimedia Retrieval, ICMR 2020, Virtual Event, June 8-11, 2020, pp. 16–25. ACM, 2020.

  Best Paper Award

  https://doi.org/10.1145/3372278.3390670

2019

• E. Müller-Budack, J. Theiner, R. Rein, and R. Ewerth:

  "Does 4-4-2 exist?" - An Analytics Approach to Understand and Classify Football Team Formations in Single Match Situations

  In: International Workshop on Multimedia Content Analysis in Sports co-located with the ACM Multimedia Conference, MMSports@MM 2019, Nice, France, October 25, 2019, pp. 25–33. ACM, 2019.

  https://doi.org/10.1145/3347318.3355527