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Results: 368
Number of items: 368
  • van Sonsbeek, T., & Worring, M. (2023). X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation. In A. Frangi, M. de Bruijne, D. Wassermann, & N. Navab (Eds.), Information Processing in Medical Imaging: 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023 : proceedings (pp. 471-482). (Lecture Notes in Computer Science; Vol. 13939). Springer. https://doi.org/10.1007/978-3-031-34048-2_36
  • Macarulla Rodriguez, A., Geradts, Z., Worring, M., & Unzueta, L. (2023). Improved Likelihood Ratios for Surveillance Video Face Recognition with Multimodal Feature Pairing. In 2023 11th International Workshop on Biometrics and Forensics (IWBF 2023): Barcelona, Spain : 19-20 April 2023 (pp. 92-97). IEEE. https://doi.org/10.1109/IWBF57495.2023.10157791
  • 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
    Shen, J., Snoek, C., Worring, M., Xiao, Z., & Zhen, X. (2023). Association Graph Learning for Multi-Task Classification with Category Shifts. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), 36th Conference on Neural Information Processing Systems (NeurIPS 2022): New Orleans, Louisiana, USA, 28 November-9 December 2022 (Vol. 7, pp. 4503-4516). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2022/hash/1cc70be9fb6a83bc46cf4ac21a91e0b0-Abstract-Conference.html
  • Open Access
    de Leeuw den Bouter, M., Lloret Pardo, J., Geradts, Z., & Worring, M. (2023). ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2309.11155
  • 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
    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
    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
    Soleimani, A., Monz, C., & Worring, M. (2023). NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds.), Findings of the Association for Computational Linguistics: ACL 2023: July 9-14, 2023 (pp. 6405-6419). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-acl.400
  • 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
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