Dr Jianbo Jiao

Dr Jianbo Jiao

School of Computer Science
Assistant Professor in Computer Science

Contact details

Email
j.jiao@bham.ac.uk
View my research portal
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 30th ACM International Conference on Multimedia (ACM MM), Senior Program Committee member of the 30th 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

Liang, J, Xu, Y, Song, H, Lu, Y, Deng, Y, Long, Y, Huang, Y, Liu, S, Jiao, J & He, S 2025, 'ContX: Scene context prediction via context bank and layout perception', Pattern Recognition, vol. 168, 111852. https://doi.org/10.1016/j.patcog.2025.111852

Gao, G, Zhang, A, Jiao, J, Liu, CH & Wei, Y 2025, 'PRFormer: Matching Proposal and Reference Masks by Semantic and Spatial Similarity for Few-Shot Semantic Segmentation', IEEE Transactions on Circuits and Systems for Video Technology. https://doi.org/10.1109/TCSVT.2025.3550879

Wu, W, Leonardis, A, Jiao, J, Jiang, J & Chen, L 2025, 'Transformer-Based Models for Predicting Molecular Structures from Infrared Spectra Using Patch-Based Self-Attention', Journal of Physical Chemistry A, vol. 129, no. 8, pp. 2077–2085. https://doi.org/10.1021/acs.jpca.4c05665

Jiao, J, Alsharid, M, Drukker, L, Papageorghiou, AT, Zisserman, A & Noble, JA 2024, 'Audio-visual modelling in a clinical setting', Scientific Reports, vol. 14, no. 1, 15569. https://doi.org/10.1038/s41598-024-66160-4

Conference contribution

Zhang, K, Jiao, J & Noble, JA 2025, Out-of-Clinical-Distribution Detection with a Softmax-Conditioned Variational Autoencoder Regulariser: Application to Fetal Ultrasound. in R Su, AF Frangi & Y Zhang (eds), Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024): Medical Imaging and Computer-Aided Diagnosis. 1 edn, Lecture Notes in Electrical Engineering, vol. 1372, Springer, pp. 558-568, 5th International Conference on Medical Imaging and Computer Aided Diagnosis, MICAD 2024, Manchester, United Kingdom, 19/11/24. https://doi.org/10.1007/978-981-96-3863-5_51

Huang, Q, Hu, H & Jiao, J 2025, Revisit the open nature of open vocabulary segmentation. in The Thirteenth International Conference on Learning Representations: ICLR 2025. Thirteenth International Conference on Learning Representations, Singapore, Singapore, 24/04/25. <https://openreview.net/forum?id=2vHIHrJAcI>

Chen, H, Hou, Y, Qu, C, Testini, I, Hong, X & Jiao, J 2024, 360 + x: A Panoptic Multi-modal Scene Understanding Dataset. in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, pp. 19373-19382, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, United States, 17/06/24. https://doi.org/10.1109/CVPR52733.2024.01833

Zhang, A, Gao, G, Jiao, J, Liu, CH & Wei, Y 2024, Bridge the Points: Graph-based Few-shot Segment Anything Semantically. in Advances in Neural Information Processing Systems 37 (NeurIPS 2024). Advances in neural information processing systems, NeurIPS, Thirty-Eighth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, 10/12/24. <https://proceedings.neurips.cc/paper_files/paper/2024/hash/3a2ef31a1e45908901adc0ca853a8faf-Abstract-Conference.html>

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), Paris, France, 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), Paris, France, 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), Paris, France, 1/10/23. https://doi.org/10.1109/ICCV51070.2023.00826

Shen, S, Gao, H, Xu, W, Peng, R, Tang, L, Xiong, K, Jiao, J & Wang, R 2024, Disentangled Generation and Aggregation for Robust Radiance Fields. in A Leonardis, E Ricci, S Roth, O Russakovsky, T Sattler & G Varol (eds), Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XLIX. 1 edn, Lecture Notes in Computer Science, vol. 15107, Springer, pp. 218–236, 18th European Conference on Computer Vision, ECCV 2024, Milan, Italy, 29/09/24. https://doi.org/10.1007/978-3-031-72967-6_13

Li, Y, Huang, Z, Yu, G, Chen, L, Wei, Y & Jiao, J 2024, Disentangled Pre-training for Image Matting. in 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE Workshop on Applications of Computer Vision, Institute of Electrical and Electronics Engineers (IEEE), pp. 168-177, 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, United States, 4/01/24. https://doi.org/10.48550/arXiv.2304.00784, https://doi.org/10.1109/WACV57701.2024.00024

Gridach, M, Alsharid, M, Jiao, J, Drukker, L, Papageorghiou, AT & Alison Noble, J 2024, Dual Representation Learning From Fetal Ultrasound Video and Sonographer Audio. in 2024 IEEE International Symposium on Biomedical Imaging (ISBI). Proceedings - International Symposium on Biomedical Imaging, IEEE Computer Society Press, 21st IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, 27/05/24. https://doi.org/10.1109/ISBI56570.2024.10635693

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