Dr. N.J.E. (Nanne) van Noord
Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute
Bezoekadres
- Science Park 900
- Kamernummer: L4.39
Postadres
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Postbus 94323
1090 GH Amsterdam
Contactgegevens
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Publicaties
2024
- Alpherts, T., Ghebreab, S., Hsu, Y. C., & Van Noord, N. (2024). Perceptive Visual Urban Analytics is Not (Yet) Suitable for Municipalities. In 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024 (pp. 1341-1354). Association for Computing Machinery, Inc. https://doi.org/10.1145/3630106.3658976
2023
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]- Long, T., & van Noord, N. (2023). Cross-modal Scalable Hyperbolic Hierarchical Clustering. In 2023 IEEE/CVF International Conference on Computer Vision: ICCV 2023 : Paris, France, 2-6 October 2023 : proceedings (pp. 16609-16618). IEEE Computer Society. https://doi.org/10.1109/ICCV51070.2023.01527 [details]
- Strezoski, G., van Noord, N., & Worring, M. (2023). MATTE: Multi-task multi-scale attention. Computer Vision and Image Understanding, 228, Article 103622. https://doi.org/10.1016/j.cviu.2023.103622 [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]
2022
- 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. Advance online publication. https://doi.org/10.1093/llc/fqac003 [details]
2021
- 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]
2020
- 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]
- 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]
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]
Spreker
- Wevers, M. (speaker), Blanke, T. (speaker) & van Noord, N. (speaker) (9-6-2022). Cultural Analytics in Amsterdam, Fudan University.
2024
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Nevenwerkzaamheden
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Nederlands Instituut voor Beeld & Geluid
Computer vision researcher
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Nederlands Instituut voor Beeld & Geluid
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.