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Results: 78
Number of items: 78
  • Open Access
    Khan, O. S., Sharma, U., Zhu, H., Rudinac, S., & Jónsson, B. Þ. (2024). Exquisitor at the Lifelog Search Challenge 2024: Blending Conversational Search with User Relevance Feedback. In Proceedings of 2024 ACM Workshop on the Lifelog Search Challenge (LSC'24): 10th June 2024, Phuket, Thailand (pp. 117-121). The Association for Computing Machinery. https://doi.org/10.1145/3643489.3661132
  • Open Access
    Khan, O. S., Sharma, U., Rudinac, S., & Jónsson, B. Þ. (2024). Exquisitor: Studying the Interplay Between Conversational Search and Relevance Feedback. In 21st International Conference on Content-Based Multimedia Indexing: CBMI 2024 : September 18-20, 2024, Reykjavik, Iceland : conference proceedings (pp. 204-208). IEEE. https://doi.org/10.1109/CBMI62980.2024.10859234
  • Open Access
    Khan, O. S., Zhu, H., Sharma, U., Kanoulas, E., Rudinac, S., & Jónsson, B. Þ. (2024). Exquisitor at the Video Browser Showdown 2024: Relevance Feedback Meets Conversational Search. 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. IV, pp. 347–355). (Lecture Notes in Computer Science; Vol. 14557). Springer. https://doi.org/10.1007/978-3-031-53302-0_31
  • Open Access
    Zhu, H., Huang, J.-H., Rudinac, S., & Kanoulas, E. (2024). Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models. In Proceedings of the 14th Annual ACM International Conference on Multimedia Retrieval (ICMR'24): Phuket, Thailand, June 10-14, 2024 (pp. 978-987). Association for Computing Machinery. https://doi.org/10.1145/3652583.3658032
  • Open Access
    Groenen, I., Rudinac, S., & Worring, M. (2024). PanorAMS: Automatic Annotation for Detecting Objects in Urban Context. IEEE Transactions on Multimedia, 26, 1281-1294. https://doi.org/10.1109/TMM.2023.3279696
  • Open Access
    Frunză, S., Rudinac, S., & Diks, C. (2024). Leveraging Query Expansion and Reformulation for Image Retrieval With Large Language and Vision-Language Models. In 21st International Conference on Content-Based Multimedia Indexing: CBMI 2024 : September 18-20, 2024, Reykjavik, Iceland : conference proceedings (pp. 23-29). IEEE. https://doi.org/10.1109/CBMI62980.2024.10859227
  • Open Access
    Li, J., Wang, S., Rudinac, S., & Osseyran, A. (2024). High-performance computing in healthcare: An automatic literature analysis perspective. Journal of Big Data, 11, Article 61. https://doi.org/10.1186/s40537-024-00929-2
  • Open Access
    Sharma, U., Rudinac, S., Demmers, J., van Dolen, W., & Worring, M. (2024). From pixels to perceptions: Capturing high-level abstract concepts in visual user-generated content. International Journal of Information Management Data Insights, 4(2), Article 100269. https://doi.org/10.1016/j.jjimei.2024.100269
  • Open Access
    Huang, J.-H., Zhu, H., Shen, Y., Rudinac, S., Pacces, A. M., & Kanoulas, E. (2024). A Novel Evaluation Framework for Image2Text Generation. In C. Siro, M. Aliannejadi, H. A. Rahmani, N. Craswell, C. L. A. Clarke, G. Faggioli, B. Mitra, P. Thomas, & E. Yilmaz (Eds.), Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024): co-located with 10th International Conference on Online Publishing (SIGIR 2024) : Washington D.C., USA, July 18, 2024 (pp. 51-65). Article 4 (CEUR Workshop Proceedings; Vol. 3752). CEUR-WS.
  • Open Access
    Sharma, U., Rudinac, S., Demmers, J., van Dolen, W., & Worring, M. (2024). GreenScreen: A Multimodal Dataset for Detecting Corporate Greenwashing in the Wild. 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. V, pp. 96-109). (Lecture Notes in Computer Science; Vol. 14565). Springer. https://doi.org/10.1007/978-3-031-56435-2_8
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