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]
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. Advance online publication. https://doi.org/10.1093/llc/fqac003[details]
Ibrahimi, S., van Noord, N. J. E., Alpherts, T. O. L., & Worring, M. (2021). Inside Out Visual Place Recognition. In British Machine Vision Conference
Khan, S. J., & van Noord, N. J. E. (2021). Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints. In British Machine Vision Conference
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]
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]
De UvA gebruikt cookies voor het meten, optimaliseren en goed laten functioneren van de website. Ook worden er cookies geplaatst om inhoud van derden te kunnen tonen en voor marketingdoeleinden. Klik op ‘Accepteren’ om akkoord te gaan met het plaatsen van alle cookies. Of kies voor ‘Weigeren’ om alleen functionele en analytische cookies te accepteren. Je kunt je voorkeur op ieder moment wijzigen door op de link ‘Cookie instellingen’ te klikken die je onderaan iedere pagina vindt. Lees ook het UvA Privacy statement.