Search results
Results: 36
Number of items: 36
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Najdenkoska, I., Derakhshani, M. M., Asano, Y. M., van Noord, N., Worring, M., & Snoek, C. G. M. (2025). TULIP: Token-length upgraded CLIP. In The Thirteenth International Conference on Learning Representations: ICLR 2025 https://openreview.net/forum?id=r9oqHOdoHf -
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 -
Shen, J., Wang, Q., Xiao, Z., Van Noord, N., & Worring, M. (2025). GO4Align: Group Optimization for Multi-Task Alignment. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), 38th Conference on Neural Information Processing Systems (NeurIPS 2024): 10-15 December 2024, Vancouver, Canada (pp. 111382-111405). (Advances in Neural Information Processing Systems; Vol. 37). Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-3537 -
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 -
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: February 25-March 4, 2025, Philadelphia, Pennsylvania, USA (Vol. 2, pp. 1737-1745). AAAI Press. https://doi.org/10.1609/aaai.v39i2.32167 -
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 -
Titarsolej, S., Cohn, N., & van Noord, N. (2024). Drawing Insights: Sequential Representation Learning in Comics. In The 35th British Machine Vision Conference: BMVC 2024 : 25th-28th November 2024, Glasgow, UK Article 650 BMVA. https://bmvc2024.org/proceedings/650/ -
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 -
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
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