Dr Jianbo Jiao PhD, FHEA, MIEEE

School of Computer Science
Associate 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 Associate Professor in Computer Vision and Machine Learning in the School of Computer Science at University of Birmingham. where he leads the MIx (Machine Intelligence + x) group. 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, in an open world.

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.

Jianbo is leading the MIx (Machine Intelligence + x) group, a Fellow of the Higher Education Academy (FHEA), and was a Royal Society Short Industry Fellow, a recipient of the Amazon Research Award. 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 Associate Editor for The Transactions on Machine Learning Research (TMLR), IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), The Visual Computer (International Journal of Computer Graphics), Co-Chair of the 25th Annual Conference on Medical Image Understanding and Analysis (MIUA), Area Chair of various leading international conferences (e.g. NeurIPS, ICML, ICLR, ACM MM, etc.), Senior Program Committee member of the 30^th International Joint Conference on Artificial Intelligence (IJCAI), and on the program committee of several leading international 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, ICML and MICCAI, etc).

Postgraduate supervision

Computer Vision
Machine Learning
Healthcare
AI4Science

Research

Jianbo’s research interests include Computer Vision, Machine Learning, Healthcare, and AI4Science. His current research interests mainly focus on learning representations in the open world, by exploring auxiliary information from different modalities (e.g. image/video, speech/audio, text/NLP, depth/stereo, gaze/saliency, motion, etc.) and reducing the dependency on supervision (e.g. self-supervised/weakly-supervised/semi-supervised learning, transfer learning).

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

Publications

Recent publications

Article

Yao, Y, Pei, G, Jiao, J, Wang, W, Nie, L & Tang, J 2026, 'Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation', IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/TPAMI.2026.3735235

Wu, W, Leonardis, A, Chen, L & Jiao, J 2026, 'Latent Diffusion-Based 3D Molecular Recovery from Infrared Spectra', Digital Discovery.

Gao, G, Zhang, A, Jiao, J, Liu, F, Liu, CH & Wei, Y 2026, 'ReBac: Current-to-Past Residual Background Correction for Class-Incremental Semantic Segmentation', International Journal of Computer Vision, vol. 134, no. 5, 225. https://doi.org/10.1007/s11263-026-02827-x

Conference contribution

MacSwayne, D, Leonardis, A & Jiao, J 2026, 3D Superquadric Splatting. in 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)., 11492170, IEEE Workshop on Applications of Computer Vision (WACV), Institute of Electrical and Electronics Engineers (IEEE), pp. 5154-5163, 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, Tucson, Arizona, United States, 6/03/26. https://doi.org/10.1109/WACV61042.2026.00500

Ai, H, Chang, W, Jiao, J, Leonardis, A & Ofek, E 2026, Articulation in Motion: Prior-free Part Mobility Analysis for Articulated Objects By Dynamic-Static Disentanglement. in The Fourteenth International Conference on Learning Representations: ICLR 2026. International Conference on Learning Representations, ICLR, Fourteenth International Conference on Learning Representations, Rio de Janeiro, Brazil, 23/04/26.

Hou, Y, Chen, Z, Hu, H, Kim, JW, Jiao, J & Chang, HJ 2026, Gaze-Anchored Social Net: Decoding Implicit Relations via Joint Modeling. in I-M Sintorn, U Pal & S Lu (eds), Pattern Recognition. ICPR 2026 International Workshops: Lyon, France, August 17–22, 2026, Proceedings, Part I. 1st edn, Lecture Notes in Computer Science, vol. 17110, Springer, Cham, Cham, 2nd Workshop on Eye Tracking Techniques, Applications and Challenges, Lyon, France, 21/08/26.

Hu, H, Lin, D, Hou, Y, Li, H, Chang, HJ & Jiao, J 2026, Whence the Voice? Self-supervised Dual-source Audio-Visual Localisation via Selective Convergence. in P Favaro, Z Kukelova, A Maki, A Rohrbach, K Schindler & F Tombari (eds), Computer Vision – ECCV 2026: 19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LXIV. 1st edn, Lecture Notes in Computer Science, vol. 17064, Springer, pp. 210-228, The 19th European Conference on Computer Vision, Malmö, Sweden, 8/09/26. https://doi.org/10.1007/978-3-032-37196-6_12

Wu, J, Peng, R, Jiao, J, Yang, J, Tang, L, Xiong, K, Liang, J, Yan, J, Liu, R & Wang, R 2026, LocalDyGS: Multi-view Global Dynamic Scene Modeling via Adaptive Local Implicit Feature Decoupling. in 2025 IEEE/CVF International Conference on Computer Vision (ICCV). International Conference on Computer Vision (ICCV), Institute of Electrical and Electronics Engineers (IEEE), pp. 9519-9529, International Conference on Computer Vision 2025, Honolulu, Hawaii, United States, 19/10/25. https://doi.org/10.1109/ICCV51701.2025.00888

Lin, D & Jiao, J 2026, PECA: Palette Context Assisted Inference for Test-Time Paint-Bucket Colourisation on Animation Videos. in P Favaro, Z Kukelova, A Maki, A Rohrbach, K Schindler & F Tombari (eds), Computer Vision – ECCV 2026: 19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LXI. 1st edn, Lecture Notes in Computer Science, vol. 17061, Springer, pp. 392-410, The 19th European Conference on Computer Vision, Malmö, Sweden, 8/09/26. https://doi.org/10.1007/978-3-032-37095-2_22

Huang, Q, Ai, H & Jiao, J 2026, Structure-Aware Feature Rectification with Region Adjacency Graphs for Training-Free Open-Vocabulary Semantic Segmentation. in 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)., 11492557, IEEE Workshop on Applications of Computer Vision (WACV), Institute of Electrical and Electronics Engineers (IEEE), pp. 4118-4127, 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, Tucson, Arizona, United States, 6/03/26. https://doi.org/10.1109/WACV61042.2026.00401

Kwon, J, Jiao, J, Self, A, Papageorghiou, A & Noble, JA 2026, Visual-Query Curriculum Learning for Rare Fetal Biometry Plane Detection in Blind-Sweep Ultrasound Video. in Medical Image Computing and Computer Assisted Intervention – MICCAI 2026: 29th International Conference, Strasbourg, France, September 27 - October 1, 2026, Proceedings [...]. Lecture Notes in Computer Science, Springer, 29th International Conference on Medical Image Computing and Computer-Assisted Intervention, Strasbourg, France, 27/09/26.

Li, H & Jiao, J 2025, An Explorative Study on Abstract Images and Visual Representations Learned from Them. in 36th British Machine Vision Conference 2025, {BMVC} 2025, Sheffield, UK, November 24-27, 2025., 495, BMVA , The 36th British Machine Vision Conference 2025, Sheffield, United Kingdom, 24/11/25. <https://bmvc2025.bmva.org/proceedings/495/>

Hu, H, Lin, D, Huang, Q, Hou, Y, Chang, HJ & Jiao, J 2025, Audio-Visual Separation with Hierarchical Fusion and Representation Alignment. in 36th British Machine Vision Conference 2025, BMVC 2025, Sheffield, UK, November 24-27, 2025., 493, BMVA , The 36th British Machine Vision Conference 2025, Sheffield, United Kingdom, 24/11/25. <https://bmvc2025.bmva.org/proceedings/493/>

Lin, D, Qu, M, Han, K, Jiao, J, Jin, X & Wei, Y 2025, A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis. in D Belgrave, C Zhang, H Lin, R Pascanu, P Koniusz, M Ghassemi & N Chen (eds), Advances in Neural Information Processing Systems 38 (NeurIPS 2025). Advances in Neural Information Processing Systems, vol. 38, NeurIPS, pp. 29713-29744, 39th Annual Conference on Neural Information Processing Systems, NeurIPS 2025
, San Diego, California, United States, 2/12/25. <https://papers.nips.cc/paper_files/paper/2025/hash/2aa95cf3b6aefa84d6b001928b107b4e-Abstract-Conference.html>

Poster

Wu, W, Leonardis, A, Chen, L & Jiao, J 2026, 'Latent diffusion-based 3D molecular recovery from vibrational spectra', Structure 2026: automated interpretation of spectroscopy data, Cambridge, United Kingdom, 27/03/26 - 27/03/26.

View all publications in research portal