Dr Jianbo Jiao

School of Computer Science
Assistant Professor in Computer Science

Contact details

Email: j.jiao@bham.ac.uk

Address: University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Jianbo Jiao is an Assistant Professor in Computer Vision and Machine Learning in the School of Computer Science at University of Birmingham. Before joining Birmingham, he was a Postdoctoral Researcher in the Biomedical Image Analysis (BioMedIA) group and the Visual Geometry Group (VGG) at the University of Oxford, working on the projects SeeBiByte and VisualAI.

His research is mainly about Computer Vision and Machine Learning, especially on learning from limited supervision and multi-modal data.

For more information, please visit Dr Jianbo Jiao’s Homepage and his group page.

Biography

Jianbo’s research interests include Computer Vision and Machine Learning, with their applications to challenging and interesting vision and healthcare problems. He obtained his MSc from Peking University in 2015, and PhD in Computer Science from City University of Hong Kong in 2018, supported by the Hong Kong PhD Fellowship Scheme. He was a visiting scholar with the Beckman Institute at the University of Illinois at Urbana-Champaign from 2017 to 2018, working with Prof Thomas S. Huang. After that, He joined the BioMedIA group and VGG in Oxford as a postdoctoral researcher, where he worked on the EPSRC projects SeeBiByte and VisualAI with Prof Alison Noble and Prof Andrew Zisserman.

He has been consistently publishing at top venues in computer vision and machine learning (e.g. ICCV/CVPR/ECCV/BMVC/TPAMI/IJCV/NeurIPS/AAAI, etc.), and holds 3 patents. He has also been actively contributing to the community, and served as the Co-Chair of the 25th Annual Conference on Medical Image Understanding and Analysis (MIUA), Area Chair of the 30^th ACM International Conference on Multimedia (ACM MM), Senior Program Committee member of the 30^th International Joint Conference on Artificial Intelligence (IJCAI), and at the program committee of several international leading conferences and journals. He has also been recognised by several Outstanding Reviewer Awards from the leading conferences and journals (e.g. CVPR, ECCV, ICCV, NeurIPS and MICCAI, etc.).

Research

Jianbo’s research is around the general problems in Computer Vision, Machine Learning and Medical Imaging. His current research interests mainly focus on learning from limited supervision (e.g. self-supervised/weakly-supervised/semi-supervised learning, transfer learning) and from multi-modal sensory data (e.g. image/video, speech/audio, text/NLP, depth/stereo, gaze/saliency, motion, etc.).

More information with an updated publication list please see his Google Scholar profile.

Publications

Recent publications

Article

Siris, A, Jiao, J, Tam, GKL, Xie, X & Lau, RWH 2024, 'Inferring Attention Shifts for Salient Instance Ranking', International Journal of Computer Vision, vol. 132, pp. 964–986. https://doi.org/10.1007/s11263-023-01906-7

Zheng, X, Liao, L, Jiao, J, Gao, F & Wang, R 2024, 'Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation', IEEE Transactions on Image Processing, vol. 33, pp. 2018 - 2031. https://doi.org/10.1109/TIP.2024.3374199

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

Conference contribution

Kang, B, Zhang, Y, Xiong, Y, Jia, X, Jiao, J & Li, J 2024, Bridging the Gap: Cross-modal Knowledge Driven Network for Radiology Report Generation. in X Jiang, H Wang, R Alhajj, X Hu, F Engel, M Mahmud, N Pisanti, X Cui & H Song (eds), 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)., 10385967, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, pp. 1202-1209, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 5/12/23. https://doi.org/10.1109/BIBM58861.2023.10385967

Xiong, K, Peng, R, Zhang, Z, Feng, T, Jiao, J, Gao, F & Wang, R 2024, CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning. in 2023 IEEE/CVF International Conference on Computer Vision (ICCV)., 10376500, International Conference on Computer Vision (ICCV), IEEE, pp. 3746-3757, 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 1/10/23. https://doi.org/10.1109/ICCV51070.2023.00349

Zhang, Z, Gao, G, Jiao, J, Liu, CH & Wei, Y 2024, CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation. in 2023 IEEE/CVF International Conference on Computer Vision (ICCV)., 10378563, International Conference on Computer Vision (ICCV), IEEE, pp. 843-853, 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 1/10/23. https://doi.org/10.1109/ICCV51070.2023.00084, https://doi.org/10.1109/ICCV51070.2023.00084

Jiang, Y, Zhou, Y, Liang, Y, Liu, W, Jiao, J, Quan, Y & He, S 2024, Diffuse3D: Wide-Angle 3D Photography via Bilateral Diffusion. in 2023 IEEE/CVF International Conference on Computer Vision (ICCV)., 10376874, International Conference on Computer Vision (ICCV), IEEE, pp. 8964-8974, 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 1/10/23. https://doi.org/10.1109/ICCV51070.2023.00826

Chen, H, Qu, C, Zhang, Y, Chen, C & Jiao, J 2024, Multi-view Self-supervised Disentanglement for General Image Denoising. in 2023 IEEE/CVF International Conference on Computer Vision (ICCV)., 10377551, International Conference on Computer Vision (ICCV), IEEE, pp. 12247-12257, 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 1/10/23. https://doi.org/10.1109/ICCV51070.2023.01128

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)., 10209009, 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

Preprint

Zheng, X, Liao, L, Li, X, Jiao, J, Wang, R, Gao, F, Wang, S & Wang, R 2024 'PKU-DyMVHumans: A Multi-View Video Benchmark for High-Fidelity Dynamic Human Modeling' arXiv. https://doi.org/10.48550/arXiv.2403.16080

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

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