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Results: 364
Number of items: 364
  • Huang, J.-H., Yang, C.-HH., Liu, F., Tian, M., Liu, Y.-C., Wu, T.-W., Lin, I.-H., Wang, K., Morikawa, H., Chang, H., Tegner, J., & Worring, M. (2021). DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. In 2021 IEEE Winter Conference on Applications of Computer Vision: proceedings : 5-9 January 2021, virtual event (pp. 2441-2451). (WACV). IEEE Computer Society. https://doi.org/10.1109/WACV48630.2021.00249
  • Huang, J.-H., Murn, L., Mrak, M., & Worring, M. (2021). GPT2MVS: Generative Pre-Trained Transformer-2 for Multi-Modal Video Summarization. In ICMR '21: proceedings of the 2021 International Conference on Multimedia Retrieval : August 21-24, 2021, Taipei, Taiwan (pp. 580-589). The Association for Computing Machinery. https://doi.org/10.1145/3460426.3463662
  • Huang, J.-H., Wu, T.-W., & Worring, M. (2021). Contextualized Keyword Representations for Multi-Modal Retinal Image Captioning. In ICMR '21: proceedings of the 2021 International Conference on Multimedia Retrieval : August 21-24, 2021, Taipei, Taiwan (pp. 645-652). The Association for Computing Machinery. https://doi.org/10.1145/3460426.3463667
  • Najdenkoska, I., Zhen, X., Worring, M., & Shao, L. (2021). Variational Topic Inference for Chest X-Ray Report Generation. In M. de Bruijne, P. C. Cattin, S. Cotin, N. Padoy, S. Speidel, Y. Zheng, & C. Essert (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021 : proceedings (Vol. III, pp. 625-635). (Lecture Notes in Computer Science; Vol. 12903). Springer. https://doi.org/10.1007/978-3-030-87199-4_59
  • van Sonsbeek, T., Zhen, X., Worring, M., & Shao, L. (2021). Variational Knowledge Distillation for Disease Classification in Chest X-Rays. In A. Feragen, S. Sommer, J. Schnabel, & M. Nielsen (Eds.), Information Processing in Medical Imaging: 27th International Conference, IPMI 2021, virtual event, June 28–June 30, 2021 : proceedings (pp. 334-345). (Lecture Notes in Computer Science; Vol. 12729). Springer. https://doi.org/10.1007/978-3-030-78191-0_26
  • Open Access
    Gisolf, F., Geradts, Z., & Worring, M. (2021). Search and Explore Strategies for Interactive Analysis of Real-Life Image Collections with Unknown and Unique Categories. In J. Lokoč, K. Schoeffmann, X. Li, I. Patras, T. Skopal, V. Mezaris, & S. Vrochidis (Eds.), MultiMedia Modeling: 27th International Conference, MMM 2021 : Prague, Czech Republic, June 22–24, 2021 : proceedings (Vol. 2, pp. 244-255). (Lecture Notes in Computer Science; Vol. 12573). Springer. https://doi.org/10.1007/978-3-030-67835-7_21
  • Open Access
    Khan, O. S., Jónsson, B. Þ., Larsen, M., Poulsen, L., Koelma, D. C., Rudinac, S., Worring, M., & Zahálka, J. (2021). Exquisitor at the Video Browser Showdown 2021: Relationships Between Semantic Classifiers. In J. Lokoč, K. Schoeffmann, X. Li, I. Patras, T. Skopal, V. Mezaris, & S. Vrochidis (Eds.), MultiMedia Modeling: 27th International Conference, MMM 2021 : Prague, Czech Republic, June 22–24, 2021 : proceedings (Vol. 2, pp. 410-416). (Lecture Notes in Computer Science; No. 12573). Springer. https://doi.org/10.1007/978-3-030-67835-7_37
  • Open Access
    Khan, O. S., Duane, A., Jónsson, B. Þ., Zahálka, J., Rudinac, S., & Worring, M. (2021). Exquisitor at the Lifelog Search Challenge 2021: Relationships between Semantic Classifiers. In LSC 2021 : Proceedings of the 4th Annual Lifelog Search Challenge: August 21, 2021, Taipei, Taiwan (pp. 3-6). Association for Computing Machinery. https://doi.org/10.1145/3463948.3469255
  • Open Access
    Soleimani, A., Monz, C., & Worring, M. (2021). NLQuAD: A Non-Factoid Long Question Answering Data Set. In P. Merlo, J. Tiedemann, & R. Tsarfaty (Eds.), The 16th Conference of the European Chapter of the Association for Computational Linguistics: EACL 2021 : proceedings of the conference : April 19-23, 2021 (pp. 1245-1255). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.eacl-main.106
  • Open Access
    Najdenkoska, I., den Boef, J., Schneider, T., van der Werf, J., de Ridder, R., Fathurrahman, F., & Worring, M. (2021). GCNIllustrator: Illustrating the Effect of Hyperparameters on Graph Convolutional Networks. In MM '21: Proceedings of the 29th ACM International Conference on Multimedia : October 20-24, 2021, Virtual Event, China (pp. 2807-2809). Association for Computing Machinery. https://doi.org/10.1145/3474085.3478566
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