Search results
Results: 7
Number of items: 7
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Sukel, M., Rudinac, S., & Worring, M. (2024). Multimodal Temporal Fusion Transformers are Good Product Demand Forecasters. IEEE Multimedia, 31(2), 48-60. https://doi.org/10.1109/MMUL.2024.3373827 -
Sukel, M., Rudinac, S., & Worring, M. (2023). GIGO, Garbage In, Garbage Out: An Urban Garbage Classification Dataset. In D.-T. Dang-Nguyen, C. Gurrin, M. Larson, A. F. Smeaton, S. Rudinac, M.-S. Dao, C. Trattner, & P. Chen (Eds.), MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9–12, 2023 : proceedings (Vol. I, pp. 527-538). (Lecture Notes in Computer Science; Vol. 13833). Springer. https://doi.org/10.1007/978-3-031-27077-2_41
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Ypenga, J., Sukel, M., & Alavi, H. S. (2023). Fence detection in Amsterdam: Transparent object segmentation in urban context. Frontiers in Computer Science, 5, Article 1143945. https://doi.org/10.3389/fcomp.2023.1143945
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Sukel, M., Rudinac, S., & Worring, M. (2020). Urban Object Detection Kit: A System for Collection and Analysis of Street-Level Imagery. In ICMR '20: proceedings of the 2020 International Conference on Multimedia Retrieval : June 08-11, 2020, Dublin, Ireland (pp. 509-516). The Association for Computing Machinery. https://doi.org/10.1145/3372278.3390708
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Sukel, M., Rudinac, S., & Worring, M. (2020). Detecting Urban Issues With the Object Detection Kit. In MM '20: proceedings of the 28th ACM International Conference on Multimedia : October 12-16, 2020, Virtual Event, USA (pp. 4518–4520). Association for Computing Machinery. https://doi.org/10.1145/3394171.3414427
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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
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