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Results: 373
Number of items: 373
  • Open Access
    Wu, T.-W., Huang, J.-H., Lin, J., & Worring, M. (2023). Expert-defined Keywords Improve Interpretability of Retinal Image Captioning. In Proceedings, 2023 IEEE Winter Conference on Applications of Computer Vision: 3-7 January 2023, Waikoloa, Hawaii (pp. 1859-1868). (WACV; Vol. 2023). IEEE Computer Society. https://doi.org/10.1109/WACV56688.2023.00190
  • Open Access
    Rodriguez, A. M., Unzueta, L., Geradts, Z., Worring, M., & Elordi, U. (2023). Multi-Task Explainable Quality Networks for Large-Scale Forensic Facial Recognition. IEEE Journal on Selected Topics in Signal Processing, 17(3), 612-623. https://doi.org/10.1109/JSTSP.2023.3267263
  • Open Access
    van Sonsbeek, T., Derakhshani, M. M., Najdenkoska, I., Snoek, C. G. M., & Worring, M. (2023). Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models. In H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, J. Duncan, T. Syeda-Mahmood, & R. Taylor (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023 : proceedings (Vol. V, pp. 726-736). (Lecture Notes in Computer Science; Vol. 14224). Springer. https://doi.org/10.48550/arXiv.2303.05977, https://doi.org/10.1007/978-3-031-43904-9_70
  • Open Access
    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
  • Open Access
    van Sonsbeek, T., Zhen, X., Mahapatra, D., & Worring, M. (2023). Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. In Proceedings, 2023 IEEE Winter Conference on Applications of Computer Vision: 3-7 January 2023, Waikoloa, Hawaii (pp. 3619-3629). (WACV; Vol. 2023). IEEE Computer Society. https://doi.org/10.1109/WACV56688.2023.00362
  • Open Access
    Strezoski, G., van Noord, N., & Worring, M. (2023). MATTE: Multi-task multi-scale attention. Computer Vision and Image Understanding, 228, Article 103622. https://doi.org/10.1016/j.cviu.2023.103622
  • Open Access
    Huang, J.-H., Wu, T.-W., Yang, C.-HH., Shi, Z., Lin, I.-H., Tegner, J., & Worring, M. (2022). Non-Local Attention Improves Description Generation for Retinal Images. In Proceedings, 2022 IEEE Winter Conference on Applications of Computer Vision: 4-8 January 2022, Waikoloa, Hawaii (pp. 3250-3259). (WACV; Vol. 2022). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.1109/WACV51458.2022.00331
  • Open Access
    Shao, L., Shen, J., Worring, M., & Zhen, X. (2022). Variational Multi-Task Learning with Gumbel-Softmax Priors. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), 35th Conference on Neural Information Processing Systems (NeurIPS 2021) : online, 6-14 December 2021 (Vol. 25, pp. 21031-21042). (Advances in Neural Information Processing Systems; Vol. 34). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2021/hash/afd4836712c5e77550897e25711e1d96-Abstract.html
  • Huang, J.-H., Yang, C.-H. H., Chen, P.-Y., Brown, A., & Worring, M. (2022). Causal video summarizer for video exploration. In ICME 2022 : conference proceedings: IEEE International Conference on Multimedia and Expo 2022 (pp. 349-354). IEEE. https://doi.org/10.1109/ICME52920.2022.9859948
  • Di Sipio, R., Huang, J.-H., Chen, SY.-C., Mangini, S., & Worring, M. (2022). The dawn of quantum natural language processing. In 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing: proceedings : 7-13 May 2022, virtual (all paper presentations), 22-27 May 2022, main venue: Marina Bay Sands Expo & Convention Center, Singapore, satellite venue: Shenzhen, China (pp. 8612-8616). IEEE. https://doi.org/10.1109/ICASSP43922.2022.9747675
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