I am looking for self-motivated PhD students (as well as PostDoc, Master students, RAs, Visiting students/researchers, etc.). Please drop me an email with your CV if you are interested in working with me! More details please find here.
News
Oct 2024: Very glad to receive the Best Paper Award and Best Presentation (Runner-Up) Award at the MICCAI 2024 ASMUS Workshop! Congrats to Kangning and the Team!
Sep 2024: Two papers (1 Spotlight) accepted to NeurIPS 2024 and one paper accepted to ACCV 2024, congrats to all the co-authors!
Aug 2024: Will be serving as an Area Chair for ICLR 2025.
Jul 2024: Our paper "Show from Tell" has been finally published in Scientific Reports (Nature Portfolio)! Please check it out here and here: https://rdcu.be/dNcmb :)
Jul 2024: Three papers accepted to ECCV 2024, congrats to all the co-authors!
Jul 2024: Two papers accepted to MICCAI Workshop and ACM MM 2024, congrats to all the co-authors!
Mar 2024: Will be serving as an Area Chair for NeurIPS 2024.
Mar 2024: Very grateful to be awarded the Amazon Research Award!
Feb 2024: Will be serving as the Action Editor (AE) for The Transactions on Machine Learning Research, welcome submitting your ML research!
Feb 2024: Two papers (a novel 360+x dataset (Oral Presentation, 3.3% of accepted papers), and a multiview 3D dataset DyMVHumans) accepted to CVPR 2024, congrats to all the co-authors!
Feb 2024: One paper accepted to ISBI 2024 as Oral Presentation, and one paper accepted to T-IP, congrats to all the co-authors!
Nov 2023: Glad to be recognised as a Top Reviewer by NeurIPS 2023.
Oct 2023: Two papers are accepted to WACV 2024, congrats to all the co-authors!
Oct 2023: Very glad to be recognised as an IEEE TMI Distinguished Reviewer
Sep 2023: Grateful to be awarded the Royal Society Short Industry Fellowship!
Aug 2023: One paper is accepted to IJCV. Congrats to all the co-authors!
Jul 2023: Four papers are accepted to ICCV 2023. Congrats to all the co-authors (esp. my MSc students Hao and Chenyuan)!
Apr 2023: Grateful to receive the International Exchanges Grant from The Royal Society!
Apr 2023: Two papers are accepted to CVPR 2023 Workshops (Foundation Model and Sight and Sound) about self-supervised multi-modal (video-text-audio) representation learning
Mar 2023: Two papers are accepted to ICLR 2023 workshops (TML4H and Neural Fields) about medical video quality assessment and neural representations in low-level vision. Congrats to Jong and my MSc student Wentian!
Jan 2023: Will join the editorial board of Springer The Visual Computer Journal (TVCJ) as an Associate Editor, please consider submit your work!
Dec 2022: Very glad to be recognised as an Outstanding Reviewer by ACCV 2022
Dec 2022: Will join the editorial board of IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) as the Associate Editor, please consider submit your work to T-CSVT!
Oct 2022: Very glad to receive the Best Paper Award at the ECCV 2022 Workshop on Medical Computer Vision! Congrats to the PULSENet Team!
Sep 2022: One paper is accepted to NeurIPS 2022 about continual learning
Aug 2022: One paper is accepted to ECCV 2022 Workshop (ECCV-MCV) about anatomy-aware contrastive medical representation learning
Jul 2022: Proud to receive the Outstanding Reviewer Award (top 10%) from ICML 2022
Feb 2022: Will be serving as an Area Chair for ACM MM 2022, please consider contributing your work to the conference!
Feb 2022: I joined the University of Birmingham as an Assistant Professor
Oct 2021: One paper is accepted to NeurIPS 2021 Workshop (MedNeurIPS) about explainability of self-supervised learning in medical imaging
Oct 2021: One paper is accepted to BMVC 2021 about achieving equivariance to transformations in deep networks
Oct 2021: Proud to receive the Outstanding Reviewer Award (top 8%) from NeurIPS 2021
Sep 2021: One paper is accepted to NeurIPS 2021 about self-supervised visual representation learning via implicitly borrowing attention from transformers
Jul 2021: One paper is accepted to ICCV 2021
Jun 2021: Proud to be an Outstanding Reviewer for CVPR 2021
May 2021: One paper accepted to T-PAMI, in which we show state-of-the-art performance on weakly-supervised semantic segmentation across different supervision levels
Jan 2021: One paper accepted to T-PAMI, with state-of-the-art performance on self-supervised video representation learning
Nov 2020: Will be serving as a Senior PC for IJCAI 2021
Oct 2020: Proud to be an Outstanding Reviewer for MICCAI 2020
Jun 2020: Proud to be an Outstanding Reviewer for ECCV 2020
Publications
360+x: A Panoptic Multi-modal Scene Understanding Dataset
Hao Chen, Yuqi Hou, Chenyuan Qu, Irene Testini, Xiaohan Hong, Jianbo Jiao IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Oral Presentation (3.3% of accepted papers), 2024 [PDF][BibTeX][arXiv][Project Page]
Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation
Xiaoyun Zheng, Liwei Liao, Jianbo Jiao, Feng Gao, Ronggang Wang IEEE Transactions on Image Processing (T-IP), 2024 [PDF][BibTeX][Code]
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation
Jiachen Shen*, Wenxuan Wang*, Chen Chen, Jianbo Jiao, Jing Liu, Yan Zhang, Shanshan Song, Jiangyun Li Medical Imaging with Deep Learning (MIDL), 2024 [PDF][BibTeX][Code][Project Page]
Dual Representation Learning from Fetal Ultrasound Video and Sonographer Audio
Mourad Gridach, Mohammad Alsharid, Jianbo Jiao, Lior Drukker, Aris Papageorghiou, Alison Noble IEEE International Symposium on Biomedical Imaging (ISBI), Oral Presentation, 2024 [PDF][BibTeX]
Inferring Attention Shifts for Salient Instance Ranking
Avishek Siris, Jianbo Jiao, Gary K.L. Tam, Xianghua Xie, Rynson W.H. Lau International Journal of Computer Vision (IJCV), 2023 [Article][BibTeX][Code]
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
Zekang Zhang, Guangyu Gao, Jianbo Jiao, Chi Harold Liu, Yunchao Wei IEEE/CVF International Conference on Computer Vision (ICCV), 2023 [PDF][BibTeX][Code]
CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning
Kaiqiang Xiong, Rui Peng, Zhe Zhang, Tianxing Feng, Jianbo Jiao, Feng Gao, Ronggang Wang IEEE/CVF International Conference on Computer Vision (ICCV), 2023 [PDF][BibTeX][Code][Project Page]
Diffuse3D: Wide-Angle 3D Photography via Bilateral Diffusion
Yutao Jiang, Yang Zhou, Yuan Liang, Wenxi Liu, Jianbo Jiao, Yuhui Quan, Shengfeng He IEEE/CVF International Conference on Computer Vision (ICCV), 2023 [PDF][BibTeX][Code][Video]
Bridging the Gap: Cross-modal Knowledge Driven Network for Radiology Report Generation
Beichen Kang, Yun Xiong, Jianbo Jiao, Yao Zhang, Xing Jia, Ji Li IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023 [PDF][BibTeX][Code]
Revisiting Implicit Neural Representations in Low-Level Vision
Wentian Xu, Jianbo Jiao International Conference on Learning Representations (ICLR) Neural Fields Workshop, 2023 [PDF][arXiv][BibTeX][Project]
A Kernel Density Estimation based Quality Metric for Quality Assessment of Obstetric Ultrasound Video
Jong Kwon, Jianbo Jiao, Alice Self, J. Alison Noble, Aris Papageorghiou International Conference on Learning Representations (ICLR) Trustworthy Machine Learning for Healthcare Workshop, 2023 [PDF][BibTeX][Code]
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
Zekang Zhang, Guangyu Gao, Zhiyuan Fang, Jianbo Jiao, Yunchao Wei Conference on Neural Information Processing Systems (NeurIPS), 2022 [PDF][BibTeX][Code]
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound
Zeyu Fu*, Jianbo Jiao*, Robail Yasrab*, Lior Drukker, Aris T. Papageorghiou, Alison Noble (*Equal contribution) European Conference on Computer Vision (ECCV) Medical Computer Vision Workshop, Oral Presentation [Best Paper Award], 2022 [PDF][BibTeX][Project]
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks Jianbo Jiao, João F. Henriques British Machine Vision Conference (BMVC), 2021 [PDF][BibTeX][Presentation][Project]
Explainability of Self-Supervised Representation Learning for Medical Ultrasound Video
Kangning Zhang, Jianbo Jiao, Alison Noble Conference on Neural Information Processing Systems Workshop (MedNeurIPS), 2021 [PDF][BibTeX][Poster]
Self-Supervised Video Representation Learning by Uncovering Spatio-temporal Statistics Jiangliu Wang*, Jianbo Jiao*, Linchao Bao, Shengfeng He, Wei Liu, Yunhui Liu (*Equal contribution) IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021
This paper subsumes our preliminary work presented at CVPR 2019, with ~30% performance improvement! [PDF][BibTeX][Code]
Scene Context-Aware Salient Object Detection
Avishek Siris, Jianbo Jiao, Gary K.L. Tam, Xianghua Xie, Rynson W.H. Lau IEEE/CVF International Conference on Computer Vision (ICCV), 2021 [PDF][BibTeX][Code and Dataset]
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition
Zeyu Fu, Jianbo Jiao, Michael Suttie, Alison Noble IEEE Journal of Biomedical and Health Informatics (JBHI), 2021 [PDF][BibTeX]
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
Bingfeng Zhang, Jimin Xiao, Jianbo Jiao, Yunchao Wei,Yao Zhao IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021 [PDF][BibTeX][Code]
Multi-View Face Synthesis via Progressive Face Flow
Yangyang Xu, Xuemiao Xu, Jianbo Jiao, Keke Li, Cheng Xu, Shengfeng He IEEE Transactions on Image Processing (T-IP), 2021 [PDF][BibTeX][Code]
Self-Supervised Video Representation Learning by Pace Prediction
Jiangliu Wang, Jianbo Jiao, Yun-Hui Liu European Conference on Computer Vision (ECCV), 2020 [PDF][BibTeX][Short Video][Long Video][Code]
Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis Jianbo Jiao, Ana Namburete, Aris Papageorghiou, Alison Noble IEEE Transactions on Medical Imaging (T-MI), 2020
This paper subsumes our preliminary work presented at MICCAI-MLMI 2019. [PDF][BibTeX][Code]
Self-Supervised Representation Learning for Ultrasound Video Jianbo Jiao, Richard Droste, Lior Drukker, Aris Papageorghiou, Alison Noble IEEE International Symposium on Biomedical Imaging (ISBI), 2020 [PDF][BibTeX]
Cross-Task Representation Learning for Anatomical Landmark Detection
Zeyu Fu, Jianbo Jiao, Michael Suttie, Alison Noble International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop onMLMI, 2020 [PDF][BibTeX]
Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking
Yipei Wang, Richard Droste, Jianbo Jiao, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, Alison Noble International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop onASMUS, Oral Presentation, 2020 [PDF][BibTeX]
Anatomy-Aware Self-Supervised Fetal MRI Synthesis from Unpaired Ultrasound Images Jianbo Jiao, Ana Namburete, Aris Papageorghiou, Alison Noble International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop on Machine Learning in Medical Imaging (MLMI), Oral Presentation, 2019 [PDF][BibTeX][Presentation]
Self-Supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Yunhui Liu, Wei Liu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 [PDF][BibTeX][Code]
Ground-Aware Point Cloud Semantic Segmentation for Autonomous Driving
Jian Wu, Jianbo Jiao, Qingxiong Yang, Zheng-Jun Zha, Xuejin Chen ACM International Conference on Multimedia (ACM MM), Oral Presentation, 2019 [PDF][BibTeX][Project]
Few-shot Breast Cancer Metastases Classification via Unsupervised Cell Ranking
Jiaojiao Chen, Jianbo Jiao, Shengfeng He, Guoqiang Han, Jing Qin IEEE Transactions on Computational Biology and Bioinformatics (T-CBB), 2019 [PDF][BibTeX][Code]
Stereoscopic Image Generation from Light Field with Disparity Scaling and Super-Resolution
Tao Yan, Jianbo Jiao, Wenxi Liu, Rynson W.H. Lau IEEE Transactions on Image Processing (T-IP), 2019 [PDF][BibTeX]
Referring Image Segmentation by Generative Adversarial Learning
Shuang Qiu, Yao Zhao, Jianbo Jiao, Yunchao Wei, Shikui Wei IEEE Transactions on Multimedia (T-MM), 2019 [PDF][BibTeX]
Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss Jianbo Jiao, Ying Cao, Yibing Song, Rynson W.H. Lau European Conference on Computer Vision (ECCV), 2018 [PDF][BibTeX][Code]
Color Image Guided Boundary-inconsistent Region Refinement for Stereo Matching Jianbo Jiao, Ronggang Wang, Wenmin Wang, Dagang Li, Wen Gao IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2015 [PDF][BibTeX][Code]