Search results
Results: 368
Number of items: 368
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Ragnarsdóttir, H., Þorleiksdottir, Þ., Khan, O. S., Jónsson, B. Þ., Guðmundsson, G. Þ., Zahálka, J., Rudinac, S., Amsaleg, L., & Worring, M. (2019). Exquisitor: Breaking the Interaction Barrier for Exploration of 100 Million Images. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 1029-1031). Association for Computing Machinery. https://doi.org/10.1145/3343031.3350580 -
Khan, O. S., Jónsson, B. Þ., Zahálka, J., Rudinac, S., & Worring, M. (2019). Exquisitor at the Lifelog Search Challenge 2019. In LSC'19: Proceedings of the ACM Workshop on Lifelog Search Challenge : June 10, 2019, Ottawa, ON, Canada (pp. 7-11). Association for Computing Machinery. https://doi.org/10.1145/3326460.3329156 -
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 -
Sukel, M., Rudinac, S., & Worring, M. (2019). Multimodal Classification of Urban Micro-Events. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 1455-1463). Association for Computing Machinery. https://doi.org/10.1145/3343031.3350967 -
Arya, D., Rudinac, S., & Worring, M. (2019). Predicting Behavioural Patterns in Discussion Forums using Deep Learning on Hypergraphs. In C. Gurrin, B. Þ. Jónsson, R. Péteri, S. Rudinac, S. Marchand-Maillet, G. Quénot, K. McGuinness, G. Þ. Guðmundsson, S. Little, M. Katsurai, & G. Healy (Eds.), 2019 International Conference on Content-Based Multimedia Indexing (CBMI): proceedings : September 4-6, 2019, held at: DCU All Hallows Campus, Dublin 9, Ireland (pp. 210-215). IEEE. https://doi.org/10.1109/CBMI.2019.8877384 -
Arya, D., Rudinac, S., & Worring, M. (2019). HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 2245-2253). Association for Computing Machinery. https://doi.org/10.1145/3343031.3350572 -
Soleimani, A., Monz, C., & Worring, M. (2019). BERT for Evidence Retrieval and Claim Verification. ArXiv. https://arxiv.org/abs/1910.02655 -
Arya, D., & Worring, M. (2018). Exploiting Relational Information in Social Networks using Geometric Deep Learning on Hypergraphs. In ICMR'18: proceedings of the 2018 ACM International Conference on Multimedia Retrieval : June 11-14, 2018, Yokohama, Japan (pp. 117-125). The Association for Computing Machinery. https://doi.org/10.1145/3206025.3206062
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Strezoski, G., & Worring, M. (2018). OmniArt: A Large-scale Artistic Benchmark. ACM Transactions on Multimedia Computing Communications and Applications, 14(4), Article 88. https://doi.org/10.1145/3273022
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Zahálka, J., Rudinac, S., Jónsson, B. Þ., Koelma, D. C., & Worring, M. (2018). Blackthorn: Large-Scale Interactive Multimodal Learning. IEEE Transactions on Multimedia, 20(3), 687-698. https://doi.org/10.1109/TMM.2017.2755986
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