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Alpherts, T., Ghebreab, S., & van Noord, N. (2025). Artifacts of Idiosyncracy in Global Street View Data. In ACM FAccT '25: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency : June 23-26, 2025, Athens, Greece (pp. 416-437). Association for Computing Machinery. https://doi.org/10.1145/3715275.3732029[details]
Alpherts, T., Ghebreab, S., & van Noord, N. (2025). EMPLACE: Self-Supervised Urban Scene Change Detection. In T. Walsh, J. Shah, & Z. Kolter (Eds.), Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence: AAAI-25 (Vol. 2, pp. 1737-1745). AAAI Press. https://doi.org/10.1609/aaai.v39i2.32167[details]
Khan, S., & van Noord, N. (2025). Context-Infused Visual Grounding for Art. In A. Del Bue, C. Canton, J. Pont-Tuset, & T. Tommasi (Eds.), Computer Vision – ECCV 2024 Workshops: Milan, Italy, September 29–October 4, 2024 : proceedings (Vol. VI, pp. 118-136). (Lecture Notes in Computer Science; Vol. 15628). Springer. https://doi.org/10.1007/978-3-031-91572-7_8
Najdenkoska, I., Derakhshani, M. M., Asano, Y. M., van Noord, N. J. E., Worring, M., & Snoek, C. G. M. (2025). Tulip: Token-length upgraded clip. In International Conference on Learning Representations
Tse, T., Zhang, Y., & Van Noord, N. (2025). China as data coloniser? Rethinking cultural production, cultural mediation, and consumer agency on Kenyan and Chinese e-commerce platforms. International Journal of Cultural Studies, 28(1), 278-299. https://doi.org/10.1177/13678779241292077[details]
Alpherts, T., Ghebreab, S., Hsu, Y.-C., & Van Noord, N. (2024). Perceptive Visual Urban Analytics is Not (Yet) Suitable for Municipalities. In ACM FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency : June 3rd-6th 2024, Rio de Janeiro, Brazil (pp. 1341-1354). The Association for Computing Machinery. https://doi.org/10.1145/3630106.3658976[details]
Bretti, C., Mettes, P., Koops, H. V., Odijk, D., & van Noord, N. (2024). Find the Cliffhanger: Multi-modal Trailerness in Soap Operas. In S. Rudinac, A. Hanjalic, C. Liem, M. Worring, B. Þ. Jónsson, B. Liu, & Y. Yamakata (Eds.), MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29–February 2, 2024 : proceedings (Vol. II, pp. 199–212). (Lecture Notes in Computer Science; Vol. 14555). Springer. https://doi.org/10.1007/978-3-031-53308-2_15[details]
Shen, J., Wang, Q., Xiao, Z., van Noord, N., & Worring, M. (2024). GO4Align: Group Optimization for Multi-Task Alignment. In 38th Conference on Neural Information Processing Systems (Advances in Neural Information Processing Systems; Vol. 37). Neural Information Processing Systems Foundation.
Veldhoen, S., Klein, R., Wigham, M., Ordelman, R., Long, T., & van Noord, N. (2024). Exploring New Dimensions of Archives: Finding Audiovisually Similar Programmes with the Help of Neural Networks. VIEW , 13(26), 70-76. https://doi.org/10.18146/view.355[details]
Barancová, A., Wevers, M., & van Noord, N. (2023). Blind Dates: Examining the Expression of Temporality in Historical Photographs. In A. Šeļa, F. Jannidis, & I. Romanowska (Eds.), Proceedings of the Computational Humanities Research Conference 2023: Paris, France, December 6-8, 2023 (pp. 490-499). (CEUR Workshop Proceedings; Vol. 3558). CEUR-WS. https://ceur-ws.org/Vol-3558/paper5790.pdf[details]
van Noord, N. (2023). Prototype-based Dataset Comparison. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 1944–1954). IEEE Computer Society. https://doi.org/10.1109/ICCV51070.2023.00186[details]
GhadimiAtigh, M., Schoep, J., Acar, E., van Noord, N., & Mettes, P. (2022). Hyperbolic Image Segmentation. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 4443-4452). (CVPR). IEEE Computer Society. https://doi.org/10.1109/CVPR52688.2022.00441[details]
Hendriksen, M., Bleeker, M., Vakulenko, S., van Noord, N., Kuiper, E., & de Rijke, M. (2022). Extending CLIP for Category-to-Image Retrieval in E-Commerce. In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022 : proceedings (Vol. I, pp. 289-303). (Lecture Notes in Computer Science; Vol. 13185). Springer. https://doi.org/10.1007/978-3-030-99736-6_20[details]
Saleh, L., & van Noord, N. (2022). The Computational Memorability of Iconic Images. In F. Karsdorp, A. Lassche, & K. Nielbo (Eds.), Proceedings of the Computational Humanities Research Conference 2022: Antwerp, Belgium, December 12-14, 2022 (pp. 55-71). (CEUR Workshop Proceedings; Vol. 3290). CEUR-WS. https://ceur-ws.org/Vol-3290/long_paper6539.pdf[details]
van Noord, N. (2022). A survey of computational methods for iconic image analysis. Digital Scholarship in the Humanities, 37(4), 1316–1338. https://doi.org/10.1093/llc/fqac003[details]
Ibrahimi, S., van Noord, N., Alpherts, T., & Worring, M. (2021). Inside Out Visual Place Recognition. In 32nd British Machine Vision Conference 2021: BMVC 2021, Online, November 22-25, 2021 Article 362 BMVA Press. [details]
Khan, S., & van Noord, N. (2021). Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints. In 32nd British Machine Vision Conference 2021: BMVC 2021, Online, November 22-25, 2021 Article 213 BMVA Press. [details]
Van Noord, N., Olesen, C. G., Ordelman, R., & Noordegraaf, J. (2021). Automatic Annotations and Enrichments for Audiovisual Archives. In A. P. Rocha, L. Steels, & J. van den Herik (Eds.), ICAART 2021 : Proceedings of the 13th International Conference on Agents and Artificial Intelligence : February 4-6, 2021. - Volume 1: ARTIDIGH 2021, Vienna, Austria (pp. 633-640). SciTePress. https://doi.org/10.5220/0010387706330640[details]
Ypsilantis, N.-A., Garcia, N., Han, G., Ibrahimi, S., van Noord, N., & Tolias, G. (2021). The Met Dataset: Instance-level Recognition for Artworks. In J. Vanschoren, & S. Yeung (Eds.), Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1: NeurIPS Datasets and Benchmarks 2021 Neural Information Processing Systems. https://openreview.net/forum?id=fnuAjFL7MXy[details]
Masson, E., Olesen, C. G., van Noord, N., & Fossati, G. (2020). Exploring Digitised Moving Image Collections: The SEMIA Project, Visual Analysis and the Turn to Abstraction. Digital Humanities Quarterly, 14(4). http://digitalhumanities.org/dhq/vol/14/4/000497/000497.html[details]
Strezoski, G., Knoester, R., van Noord, N., & Worring, M. (2020). OmniEyes: Analysis and Synthesis of Artistically Painted Eyes. In Y. M. Ro, W-C. Cheng, J. Kim, W-T. Chu, P. Cui, J-W. Choi, M-C. Hu, & W. De Neve (Eds.), MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020 : proceedings (Vol. I, pp. 628-641). (Lecture Notes in Computer Science; Vol. 11961). Springer. https://doi.org/10.1007/978-3-030-37731-1_51[details]
2019
Bhargav, S., van Noord, N., & Kamps, J. (2019). Deep learning as a tool for early cinema analysis. In SUMAC '19: proceedings of the 1st Workshop on Structuring and Understanding of Multimedia Heritage Contents : October 21, 2019, Nice, France (pp. 61-68). The Association for Computing Machinery. https://doi.org/10.1145/3347317.3357240[details]
Ibrahimi, S., van Noord, N., Geradts, Z., & Worring, M. (2019). Deep Metric Learning for Cross-Domain Fashion Instance Retrieval. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 3165-3168). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00390[details]
Muller-Eberstein, M., & van Noord, N. (2019). Translating visual art into music. In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 (pp. 3117-3120). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW.2019.00378
Samson, L., van Noord, N., Booij, O., Hofmann, M., Gavves, E., & Ghafoorian, M. (2019). I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. In 2019 International Conference on Computer Vision, Workshops: proceedings : 27 October-2 November 2019, Seoul, Korea (pp. 951-960). IEEE Computer Society. https://doi.org/10.1109/ICCVW.2019.00124[details]
Strezoski, G., van Noord, N., & Worring, M. (2019). Learning Task Relatedness in Multi-Task Learning for Images in Context. In ICMR '19: proceedings of the 2019 ACM International Conference on Multimedia Retrieval : June 10-13, 2019, Ottawa, ON, Canada (pp. 78-86). The Association for Computing Machinery. https://doi.org/10.1145/3323873.3325009[details]
Strezoski, G., van Noord, N., & Worring, M. (2019). Many Task Learning with Task Routing. In Proceedings, 2019 International Conference on Computer Vision: 27 October-2 November 2019, Seoul, Korea (pp. 1375-1384). (ICCV). IEEE Computer Society. https://doi.org/10.1109/ICCV.2019.00146[details]
2024
Titarsolej, S., Cohn, N., & van Noord, N. (2024). Drawing Insights: Sequential Representation Learning in Comics. Paper presented at 35th British Machine Vision Conference, BMVC 2024, Glasgow, United Kingdom.
2022
van Noord, N., Wevers, M., Blanke, T., Noordegraaf, J., & Worring, M. (2022). An Analytics of Culture: Modeling Subjectivity, Scalability, Contextuality, and Temporality. Paper presented at Cultures in AI/AI in Culture. https://doi.org/10.48550/arXiv.2211.07460[details]
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