About


I am an Assistant Professor in the School of Computer Science at University of Birmingham, where I lead the MIx (Machine Intelligence + x) group. I am also a Fellow of the Higher Education Academy (FHEA), a Visiting Researcher at the University of Oxford, and was a Royal Society Short Industry Fellow. Before joining Birmingham, I was fortunate to work as a Postdoctoral Researcher in the Biomedical Image Analysis (BioMedIA) group and the Visual Geometry Group (VGG) at the University of Oxford, advised by Prof Alison Noble and Prof Andrew Zisserman. I obtained my PhD in Computer Science from City University of Hong Kong (supported by the Hong Kong PhD Fellowship), advised by Prof Qingxiong Yang and Prof Rynson W. H. Lau. I have been lucky to work as a visiting scholar in the Image Formation and Processing(IFP) group at the University of Illinois Urbana-Champaign (UIUC), advised by Prof Thomas S. Huang. I was also lucky to work with Dr Linchao Bao as an intern at Tencent AI Lab. My research interests include Computer Vision, Machine Learning, Healthcare, and AI4Science. I am particularly interested in learning better representations by exploring auxiliary from different modalities and reducing the dependency on supervisions.

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

Nov 2024: Very glad to receive the Best Paper Award at the MICAD 2024! Congrats to Kangning and the Team! Nov 2024: Great thanks to Meta Project Aria for their in-kind contributions, and honoured to be an Academic Partner! 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]

Show from Tell: Audio-Visual Modelling in a Clinical Setting
Jianbo Jiao*, Mohammad Alsharid*, Lior Drukker, Aris T. Papageorghiou, Andrew Zisserman, Alison Noble
Scientific Reports, 2024
[PDF] [BibTeX] [Online Article]

Out-of-Clinical-Distribution Detection with a Softmax-Conditioned Variational Autoencoder Regulariser: Application to Fetal Ultrasound
Kangning Zhang, Jianbo Jiao, Alison Noble
International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD), Oral Presentation, Best Paper Award, 2024
[PDF] [BibTeX] [Code]

Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation
Chen Xu*, Qiming Huang*, Yuqi Hou, Jiangxing Wu, Fan Zhang, Hyung Jin Chang, Jianbo Jiao
Asian Conference on Computer Vision (ACCV), 2024
[PDF] [BibTeX] [arXiv] [Project and code]

Bridge the Points: Graph-based Few-shot Segment Anything Semantically
Anqi Zhang, Guangyu Gao, Jianbo Jiao, Chi Harold Liu, Yunchao Wei
Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight Presentation, 2024
[PDF] [BibTeX] [arXiv] [Project Page]

Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis
Rui Peng, Wangze Xu, Luyang Tang, Liwei Liao, Jianbo Jiao, Ronggang Wang
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
[PDF] [BibTeX] [arXiv] [Code]

Disentangled Generation and Aggregation for Robust Radiance Fields
Shihe Shen*, Huachen Gao*, Wangze Xu, Rui Peng, Luyang Tang, Kaiqiang Xiong, Jianbo Jiao, Ronggang Wang
European Conference on Computer Vision (ECCV), 2024
[PDF] [BibTeX] [arXiv] [Code] [Project Page]

MVPGS: Excavating Multi-view Prior for Gaussian Splatting from Sparse Input Views
Wangze Xu, Huachen Gao, Shihe Shen, Rui Peng, Jianbo Jiao, Ronggang Wang
European Conference on Computer Vision (ECCV), 2024
[PDF] [BibTeX] [arXiv] [Code] [Project Page]

Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstruction
Rui Peng, Shihe Shen, Kaiqiang Xiong, Huachen Gao, Jianbo Jiao, Xiaodong Gu, Ronggang Wang
European Conference on Computer Vision (ECCV), 2024
[PDF] [BibTeX] [arXiv] [Code]

Fetal Ultrasound Video Representation Learning using Contrastive Rubik’s Cube Recovery
Kangning Zhang, Jianbo Jiao, Alison Noble
International Conference on Medical Image Computing and Computer Assisted Intervention Workshop (MICCAI ASMUS), Oral Presentation, [Best Paper Award and Best Presentation (Runner-Up) Award], 2024
[PDF] [BibTeX] [Code]

DyMVHumans: A Multi-View Video Benchmark for High-Fidelity Dynamic Human Modeling
Xiaoyun Zheng, Liwei Liao, Xufeng Li, Jianbo Jiao, Rongjie Wang, Feng Gao, Shiqi Wang, Ronggang Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[PDF] [BibTeX] [arXiv] [Project Page]

Disentangled Pre-training for Image Matting
Yanda Li, Zilong Huang, Gang Yu, Ling Chen, Yunchao Wei, Jianbo Jiao
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Oral Presentation (2.5% of accepted papers), 2024
[PDF] [BibTeX] [Code] [Project Page]

FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation
Wenxuan Wang*, Jing Wang*, Chen Chen, Jianbo Jiao, Yuanxiu Cai, Shanshan Song, Jiangyun Li
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
[PDF] [BibTeX] [Code] [Project Page]

Frame Interpolation with Consecutive Brownian Bridge Diffusion
Zhonglin Lyu, Ming Li, Jianbo Jiao, Chen Chen
ACM Multimedia (ACM MM), 2024
[PDF] [BibTeX] [Code] [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]

Multi-view Self-supervised Disentanglement for General Image Denoising
Hao Chen*, Chenyuan Qu*, Yu Zhang, Chen Chen, Jianbo Jiao
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[PDF] [ArXiv] [BibTeX] [Code] [Project Page]

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]

Speed Co-Augmentation for Unsupervised Audio-Visual Pre-training
Jiangliu Wang, Jianbo Jiao, Yibing Song, Stephen James, Zhan Tong, Chongjian Ge, Pieter Abbeel, Yun-Hui Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Sight and Sound, 2023
[PDF] [BibTeX] [Code]

Cali-NCE: Boosting Cross-modal Video Representation Learning with Calibrated Alignment
Nanxuan Zhao, Jianbo Jiao, Weidi Xie, Dahua Lin
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Foundation Model, 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]

Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning
Chongjian Ge, Youwei Liang, Yibing Song, Jianbo Jiao, Jue Wang, Ping Luo
Conference on Neural Information Processing Systems (NeurIPS), 2021
[PDF] [BibTeX] [Project] [OpenReview] [Media Coverage]

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 Contrastive Video-Speech Representation Learning for Ultrasound
Jianbo Jiao, Yifan Cai, Mohammad Alsharid, Lior Drukker, Aris Papageorghiou, Alison Noble
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Oral Presentation (Early Acceptance), 2020
[PDF] [BibTeX] [Presentation Video] [Graphical Abstract] [MICCAI Daily Coverage, Best of MICCAI 2020 Coverage]

Unified Image and Video Saliency Modeling
Richard Droste*, Jianbo Jiao*, Alison Noble (*Equal contribution)
European Conference on Computer Vision (ECCV), Spotlight Presentation, 2020
[PDF] [BibTeX] [Short Video] [Long Video] [More Results] [Project]

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]

Tactile Sketch Saliency
Jianbo Jiao, Ying Cao, Manfred Lau, Rynson W.H. Lau
ACM International Conference on Multimedia (ACM MM), 2020
[PDF] [BibTeX] [Data & Code]

Inferring Attention Shift Ranks of Objects for Image Saliency
Avishek Siris, Jianbo Jiao, Gary K.L. Tam, Xianghua Xie, Rynson W.H. Lau
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[PDF] [BibTeX] [Presentation Video] [Project] [Dataset]

When AWGN-based Denoiser Meets Real Noises
Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang, Honghui Shi, Thomas S. Huang
AAAI Conference on Artificial Intelligence (AAAI), Spotlight Presentation, 2020
[PDF] [BibTeX] [Code] [GIMP-ML]

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 on MLMI, 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 on ASMUS, Oral Presentation, 2020
[PDF] [BibTeX]

FormNet: Formatted Learning for Image Restoration
Jianbo Jiao, Wei-Chih Tu, Ding Liu, Shengfeng He, Rynson Lau, Thomas S. Huang
IEEE Transactions on Image Processing (T-IP), 2020
This paper subsumes our preliminary work presented at CVPRW 2017.
[PDF] [BibTeX] [Code]

Connecting Image Denoising and High-Level Vision Tasks via Deep Learning
Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang
IEEE Transactions on Image Processing (T-IP), 2020
[PDF] [BibTeX] [Code]

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]

Geometry-Aware Distillation for Indoor Semantic Segmentation
Jianbo Jiao, Yunchao Wei, Zequn Jie, Honghui Shi, Rynson W.H. Lau, Thomas S. Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[PDF] [BibTeX] [Code]

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]

Task-Driven Webpage Saliency
Quanlong Zheng, Jianbo Jiao, Ying Cao, Rynson W.H. Lau
European Conference on Computer Vision (ECCV), 2018
[PDF] [BibTeX] [Project]

Delving into Salient Object Subitizing and Detection
Shengfeng He, Jianbo Jiao, Xiaodan Zhang, Guoqiang Han, Rynson W.H. Lau
IEEE International Conference on Computer Vision (ICCV), 2017
[PDF] [BibTeX]

Joint Image Denoising and Disparity Estimation via Stereo Structure PCA and Noise-Tolerant Cost
Jianbo Jiao, Qingxiong Yang, Shengfeng He, Shuhang Gu, Lei Zhang, Rynson W. H. Lau
International Journal of Computer Vision (IJCV), 2017
[PDF] [BibTeX] [Code] [Data]

FormResNet: Formatted Residual Learning for Image Restoration
Jianbo Jiao, Wei-Chih Tu, Shengfeng He, Rynson W. H. Lau
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop (NTIRE), Oral Presentation, 2017
[PDF] [BibTeX] [Code] [Slides] [Poster]

A Hand Pose Tracking Benchmark From Stereo Matching
Jiawei Zhang, Jianbo Jiao, Mingliang Chen, Liangqiong Qu, Xiaobin Xu, Qingxiong Yang
IEEE International Conference on Image Processing (ICIP), Oral Presentation, 2017
[PDF] [Tech Report] [BibTeX] [Data: Dropbox, OneDrive]

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]

Local Stereo Matching with Improved Matching Cost and Disparity Refinement
Jianbo Jiao, Ronggang Wang, Wenmin Wang, Shengfu Dong, Zhenyu Wang, Wen Gao
IEEE Multimedia, 2014
[PDF] [BibTeX]

Cost-Volume Filtering-Based Stereo Matching with Improved Matching Cost and Secondary Refinement
Jianbo Jiao, Ronggang Wang, Wenmin Wang, Shengfu Dong, Zhenyu Wang, Wen Gao
IEEE International Conference on Multimedia and Expo (ICME), Oral Presentation [Best Student Paper candidate], 2014
[PDF] [BibTeX] [Slides] [Poster] [demo]

Teaching

2022 - (Computer Science @ Birmingham)

   Computer Vision and Imaging
   Robot Vision
   Programming for Data Science
   Computer Science Project (Undergraduate)
   MSc Projects

2018 - 2022 (Engineering Science @ Oxford)

   Deep Learning Module at HDS-CDT-2020 Cohort
   4th Year Undergraduate Project
   CDT Short-term Projects

2015 - 2018 (CS @ CityU)

    Computer Graphics (CS4182/CS5182)
    Multimedia Technologies and Applications (CS4185/CS5185)
    Computer Vision for Interactivity (CS4187)
    Computer Programming (CS2311)

2012 - 2015 (ECE @ PKU)

    Digital Media Software and System Development (04703920)
    Fundamentals of Digital Media Technology (04713901)

Services

Associate Editor:

   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) 
   Applied Sciences Special Issue: Advances in Computer Vision and Semantic Segmentation (Guest Editor) 

Co-Chair / Organizing Committee:

   25th UK Conference on Medical Image Understanding and Analysis (MIUA 2021) 

Area Chair

   International Conference on Learning Representations (ICLR) 2025 
   Annual Conference on Neural Information Processing Systems (NeurIPS) 2024 
   ACM International Conference on Multimedia (ACM MM) 2022, 2023, 2024 
   Vision And Learning SEminar (VALSE) 

Conference Reviewer:

   NeurIPS 2023 (Top Reviewer), ICML 2022 (Outstanding Reviewer), NeurIPS 2022 (Outstanding Reviewer for the Datasets and Benchmarks track), ICLR 2022, CVPR 2022, ACCV 2022 (Outstanding Reviewer), NeurIPS 2021 (Outstanding Reviewer), CVPR 2021 (Outstanding Reviewer), IJCAI 2021 (Senior Program Committee member), AAAI 2021, WACV 2021, CVPR 2020, ECCV 2020 (Outstanding Reviewer), MICCAI 2020 (Outstanding Reviewer), AAAI 2020, IJCAI 2020, ACCV 2020, ICCV 2019 (Outstanding Reviewer), CVPR 2019, MICCAI 2019, Pacific Graphics 2018

Journal Reviewer:

   IEEE T-PAMI, T-IP, T-MI (Distinguished Reviewer), T-NNLS, T-CSVT, T-Cybernetics, T-MM, Multimedia, Signal Processing Letters; Springer IJCV, Neurocomputing, Journal of Visual Communication and Image Representation (Outstanding Reviewer), Computer Vision and Image Understanding, Computer Graphics Forum