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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]
2021
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. J. E., & Tolias, G. (2021). The Met Dataset: Instance-level Recognition for Artworks. In Neural Information Processing Systems Datasets and Benchmarks Track
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). Los Alamitos, California: 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). New York, NY: 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). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/ICCV.2019.00146[details]
Wegter, R., Bhargav, S., Noord, N. V., Noordegraaf, J., & Kamps, J. (2019). Deep Learning as a Tool for Early Cinema Analysis: Experiences with Detecting Intertitles in Silent Film. In H. C. Huurdeman, L. Melgar Estrada, J. Noordegraaf, & R. Ordelman (Eds.), SEMIA'19: Proceedings of the Sensory Moving Image Archives: Visualization, Exploration and Reuse of Moving Image Data, Amsterdam, the Netherlands: Looking Beyond the Picture - Enhancing Sensemaking of Audiovisual Materials in the Media Suite UvA CREATE.
2022
Strezoski, G. (2022). Information sharing methods for multi-task learning. [details]
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