Recent publications
Article
Ren, S, Liu, W, Jiao, J, Han, G & He, S 2023, 'Edge Distraction-aware Salient Object Detection', IEEE Multimedia. https://doi.org/10.1109/MMUL.2023.3235936
Zhang, B, Xiao, J, Jiao, J, Wei, Y & Zhao, Y 2022, 'Affinity attention graph neural network for weakly supervised semantic segmentation', IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 44, no. 11, 9440699, pp. 8082-8096. https://doi.org/10.1109/TPAMI.2021.3083269
Fu, Z, Jiao, J, Suttie, M & Noble, JA 2022, 'Facial anatomical landmark detection using regularized transfer learning with application to Fetal Alcohol Syndrome recognition', IEEE Journal of Biomedical and Health Informatics , vol. 26, no. 4, 9531054, pp. 1591-1601. https://doi.org/10.1109/JBHI.2021.3110680
Mao, A, Liang, Y, Jiao, J, Liu, Y & He, S 2022, 'Mask-guided deformation adaptive network for human parsing', ACM Transactions on Multimedia Computing, Communications and Applications, vol. 18, no. 1, 11. https://doi.org/10.1145/3467889
Wang, J, Jiao, J, Bao, L, He, S, Liu, W & Liu, YH 2022, 'Self-supervised video representation learning by uncovering spatio-temporal statistics', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 7, pp. 3791-3806. https://doi.org/10.1109/TPAMI.2021.3057833
Conference contribution
Kwon, J, Jiao, J, Self, A, Alison Noble, J & Papageorghiou, A 2023, A Kernel Density Estimation Based Quality Metric for Quality Assessment of Obstetric Ultrasound Video. in H Chen & L Luo (eds), Trustworthy Machine Learning for Healthcare: First International Workshop, TML4H 2023, Virtual Event, May 4, 2023, Proceedings. 1 edn, Lecture Notes in Computer Science, vol. 13932, Springer, pp. 134-146, Trustworthy Machine Learning for Healthcare - First International Workshop, TML4H 2023, Proceedings, Virtual, Online, 4/05/23. https://doi.org/10.1007/978-3-031-39539-0_12
Fu, Z, Jiao, J, Yasrab, R, Drukker, L, Papageorghiou, AT & Noble, JA 2023, Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound. in L Karlinsky, T Michaeli & K Nishino (eds), ECCV 2022: Computer Vision – ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part III. 1 edn, vol. 2022, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13803 LNCS, Springer, Cham, pp. 422-436, 17th European Conference on Computer Vision, ECCV 2022, Tel Aviv, Israel, 23/10/22. https://doi.org/10.1007/978-3-031-25066-8_23
Zhao, N, Jiao, J, Xie, W & Lin, D 2023, Cali-NCE: Boosting Cross-modal Video Representation Learning with Calibrated Alignment. in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops, IEEE, pp. 6317-6327, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, British Columbia, Canada, 18/06/23. https://doi.org/10.1109/CVPRW59228.2023.00672
Zhang, Z, Gao, G, Fang, Z, Jiao, J & Wei, Y 2022, Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation. in S Koyejo, S Mohamed, A Agarwal, D Belgrave, K Cho & A Oh (eds), Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Advances in Neural Information Processing Systems, vol. 35, NIPS, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, New Orleans, United States, 28/11/22. <https://proceedings.neurips.cc/paper_files/paper/2022/hash/99b419554537c66bf27e5eb7a74c7de4-Abstract-Conference.html>
Siris, A, Jiao, J, Tam, GKL, Xie, X & Lau, RWH 2022, Scene context-aware salient object detection. in 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE International Conference on Computer Vision. Proceedings, Institute of Electrical and Electronics Engineers (IEEE), pp. 4136-4146, 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021, Virtual, Online, Canada, 11/10/21. https://doi.org/10.1109/ICCV48922.2021.00412
Preprint
Li, Y, Huang, Z, Yu, G, Chen, L, Wei, Y & Jiao, J 2023 'Disentangled Pre-training for Image Matting' arXiv. https://doi.org/10.48550/arXiv.2304.00784
Wang, W, Wang, J, Chen, C, Jiao, J, Sun, L, Cai, Y, Song, S & Li, J 2023 'FreMAE: Fourier Transform Meets Masked Autoencoders for Medical Image Segmentation' arXiv. https://doi.org/10.48550/arXiv.2304.10864
Wang, W, Shen, J, Chen, C, Jiao, J, Zhang, Y, Song, S & Li, J 2023 'Med-Tuning: Exploring Parameter-Efficient Transfer Learning for Medical Volumetric Segmentation' arXiv. https://doi.org/10.48550/arXiv.2304.10880
Xu, W & Jiao, J 2023 'Revisiting Implicit Neural Representations in Low-Level Vision' arXiv. https://doi.org/10.48550/arXiv.2304.10250
Fu, Z, Jiao, J, Yasrab, R, Drukker, L, Papageorghiou, AT & Noble, JA 2022 'Anatomy-aware contrastive representation learning for fetal ultrasound'. https://doi.org/10.48550/arXiv.2208.10642
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