Dr Miaojing Shi Academics Supervisors Lecturer in Artificial Intelligence Research subject areas Computer science Contact details 0207 848 8564 miaojing.shi@kcl.ac.uk
A systematic study of race and sex bias in CNN-based cardiac MR segmentation Lee, T., Puyol-Anton, E., Ruijsink, B., Shi, M. & King, A. P., 4 Sep 2022. Research output: Working paper/Preprint › Preprint Discovering Regression-Detection Bi-knowledge Transfer for Unsupervised Cross-Domain Crowd Counting Liu, Y., Wang, Z., Shi, M., Satoh, S., Zhao, Q. & Yang, H., 14 Jul 2022, In: NEUROCOMPUTING. 494, p. 418-431 14 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1016/j.neucom.2022.04.107 MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning Zhang, M., Shi, M. & Li, L., 14 Jul 2022, (Accepted/In press) In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY. Research output: Contribution to journal › Article › peer-review Dam reservoir extraction from remote sensing imagery using tailored metric learning strategies. Van Soesbergen, A., Chu, Z., Shi, M. & Mulligan, M., 25 Jun 2022, In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 60, 4207414. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1109/TGRS.2022.3172883 Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model Du, Y., Wei, F., Zhang, Z., Shi, M., Gao, Y. & Li, G., 2022, (Accepted/In press) IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review Training object detectors from few weakly-labeled and many unlabeled images Yang, Z., Shi, M., Xu, C., Ferrari, V. & Avrithis, Y., Dec 2021, In: PATTERN RECOGNITION. 120, 108164. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1016/j.patcog.2021.108164 Learning to Recommend Items to Wikidata Editors Alghamdi, K., Shi, M. & Simperl, E., 23 Jun 2021, (Accepted/In press) International Semantic Web Conference. Springer, p. 1-17 17 p. Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review Fast Fourier Intrinsic Network Qian, Y., Shi, M., Kämäräinen, J-K. & Matas, J., Jan 2021, Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021. p. 3168-3177 10 p. Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1109/WACV48630.2021.00321 Detecting Human-Object Interaction with Mixed Supervision Kumaraswamy, S. K., Shi, M. & Kijak, E., 2021, Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021. p. 1227-1236 10 p. Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1109/WACV48630.2021.00127 Active Crowd Counting with Limited Supervision Zhao, Z., Shi, M., Zhao, X. & Li, L., 2020, 16th European Conference on Computer Vision – ECCV 2020. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 565-581 17 p. Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review. DOIs: https://doi.org/10.1007/978-3-030-58565-5_34 View all publications