Yakun Ju is currently a Full Professor and Ph.D. Supervisor in the Faculty of Information Science and Engineering at Ocean University of China, Qingdao, China. He was previously an Assistant Professor and Ph.D. Supervisor at the University of Leicester, UK, a Research Fellow at Nanyang Technological University, Singapore, and a Postdoctoral Fellow at The Hong Kong Polytechnic University, Hong Kong SAR. His research focuses on 3D reconstruction, medical image processing, and underwater visual perception. He has published over 70 peer-reviewed papers in leading journals and conferences, including TPAMI, TVCG, TIP, and IJCV, and holds multiple patents, with technology transfer applications totaling 480,000 CNY.

举雅琨，中国海洋大学信息科学与工程学部教授、博导，海洋动力-物理环境与智能感知全国重点实验室骨干成员，国家高层次青年人才。曾任英国莱斯特大学计算机系长聘助理教授，并具有新加坡南洋理工大学、香港理工大学的研究经历。长期从事三维重建、计算成像与水下视觉感知研究。近年来在领域内一流的期刊会议（如TPAMI，IJCV，TIP，TVCG，CVPR）上发表论文70余篇，授权发明专利7项。担任香港研究资助局基金项目评审专家。担任PR、ASOC、MIR、CAAI TRIT、Neurocomputing等主流期刊副编辑/编委，以及十余本SCI期刊客座编辑。主持/骨干承担国家自然科学基金、英国高等院校基金、新加坡战略定位基金、香港创新及科技基金等科研项目。

Email: kelvin.yakun.ju@gmail.com

Openings (招生信息)

• 招生信息及要求请见Recruitment (重要)
• 现正招收2027级博士研究生2名 (尚有名额)、硕士研究生6名 (尚有名额)，欢迎对三维视觉，计算机视觉与计算摄影学的交叉部分，人工智能海洋学，医学信息处理等领域感兴趣的同学，通过电邮垂询并附简历。
• 长期招收本科实习生、研究助理及博士后 （年薪26-31万，博新补贴全额叠加，出站25-40万聚青资助），欢迎电邮垂询并附简历。
• 课题组致力于为学生提供系统、坚实的科研训练，并与多所世界知名高校及研究机构保持长期紧密合作关系，学生将有机会与人工智能、机器人等领域的国内外顶尖学者共同探索前沿课题，取得具有国际影响力的高水平研究成果。
• We are actively looking for self-motivated PhD/Master Students, Undergraduate Students, Postdoctoral Researchers, and Research Assistants to work and have fun together on multiple research topics. Please feel free to drop me an email with your CV if you are interested.

Education

• 2016 - 2022: Ph.D., School of Computer Science, Ocean University of China, China, Supervised by Prof. Junyu Dong (董军宇).
  
  
• 2012 - 2016: B. Eng., School of Mechanical Engineering, Sichuan University, China.

Research Experience

• 2026 - Now: Professor, Faculty of Information Science and Engineering, Ocean University of China, China.
  
  
• 2024 - 2026: Assistant Professor, School of Computing and Mathematical Sciences, University of Leicester, United Kingdom.
  
  
• 2023 - 2024: Research Fellow, ROSE Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, working with Prof. Alex Chichung Kot (SAEng, IEEE Life Fellow).
  
  
• 2022 - 2023: Postdoctoral Fellow, Department of Electrical and Electronic Engineering, Hong Kong Polytechnic University, Hong Kong SAR, working with Prof. Kenneth Kin-Man Lam (IEEE SPS Vice President).

Academic Service

• Associate Editor/Editorial Board: Pattern Recognition (PR), Machine Intelligence Research (MIR), CAAI Transactions on Intelligence Technology (CAAI TRIT), Applied Soft Computing (ASOC), Neurocomputing, Intelligent Marine Technology and Systems (IMTS).
  
  
• Guest Editor: Journal of the Optical Society of America A (JOSA A), Ocean Engineering (OE), Pattern Recognition (PR), Computer Vision and Image understanding (CVIU).
  
  
• Conference Chair: Publication Chair - BMVC 2026, Program Chair - IDASS2026.
  
  
• Workshop Organizer: IEEE ICME 2026 Workshop: P3DMM, IEEE ICME 2025 Workshop: MUIPE.

Selected Publication

Revisiting One-stage Deep Uncalibrated Photometric Stereo via Fourier Embedding
Yakun Ju, Boxin Shi, Bihan Wen, Kin-Man Lam, Xudong Jiang, Alex C. Kot.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. [Paper]

Deep Learning Methods for Calibrated Photometric Stereo and Beyond
Yakun Ju, Kin-Man Lam, Wuyuan Xie, Huiyu Zhou, Junyu Dong, Boxin Shi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. [Paper]

Normattention-PSN: A High-Frequency Region Enhanced Photometric Stereo Network with Normalized Attention
Yakun Ju, Boxin Shi, Muwei Jian, Lin Qi, Junyu Dong, Kin-Man Lam.
International Journal of Computer Vision (IJCV), 2022. [Paper]

Recovering Surface Normal and Arbitrary Images: A Dual Regression Network for Photometric Stereo
Yakun Ju, Junyu Dong, Sheng Chen.
IEEE Transactions on Image Processing (TIP), 2021. [Paper]

GR-PSN: Learning to Estimate Surface Normal and Reconstruct Photometric Stereo Images
Yakun Ju, Boxin Shi, Yang Chen, Huiyu Zhou, Junyu Dong, Kin-Man Lam.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023. [Paper]

Photometric Regularization for 3D Gaussian Splatting in Multi-view Surface Projection
Yakun Ju, Yuying Zhao, Jun Xiao, Cong Zhang, Zheheng Jiang, Huiyu Zhou, Wei Zhou, Hui Yu, Junyu Dong.
IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2025. [Paper]

Estimating High-resolution Surface Normals via Low-resolution Photometric Stereo Images
Yakun Ju, Muwei Jian, Cong Wang, Cong Zhang, Junyu Dong, Kin-Man Lam.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. (ESI Highly Cited Paper) [Paper]

Underwater Surface Normal Reconstruction via Cross-grained Photometric Stereo Transformer
Yakun Ju, Ling Li, Xian Zhong, Yuan Rao, Yanru Liu, Junyu Dong, Alex C. Kot.
IEEE Journal of Oceanic Engineering (JOE), 2024. [Paper]

Towards Marine Snow Removal with Fusing Fourier Information
Yakun Ju, Jun Xiao, Cong Zhang, Hao Xie, Anwei Luo, Huiyu Zhou, Alex C. Kot.
Information Fusion, 2024. [Paper]

FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients
Jiaqi Leng, Yakun Ju✉, Yuanxu Duan, Jiangnan Zhang, Qingxuan Lv, Zuxuan Wu, Hao Fan.
Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. [Paper]

Patent

• A Single Frame Image 3D Reconstruction Device and Method Based on Deep Learning, CN107862741, Yakun Ju, Junyu Dong, Lin Qi, Liang Lu, Technology Transfer Applications 480,000 CNY (approximately 70,000 USD)
  
  
• High-frequency Region Enhancement Photometric Stereo Method Based on Deep Learning, CN113936117, Yakun Ju, Junyu Dong, Feng Gao
  
  
• Multispectral photometric stereo surface normal recovery method based on deep learning, CN110060212, Yakun Ju, Junyu Dong, Lin Qi
  
  
• A Transformer-based face image super-resolution method, CN113191953, Muwei Jian, Rui Wang, Xing Wang, Yakun Ju, etc.
  
  
• A method for grading diabetic retinopathy based on a three-stage attention network, CN115587979, Muwei Jian, Hongyu Chen, Rui Wang, Yakun Ju, etc.

Award

• ACM China Council Qingdao Chapter Outstanding Doctoral Dissertation Award, 2022
  
• Inspur Scholarship, 2021
  
• National Scholarship for Doctoral Students, 2020
  
• Goers Acoustic Scholarship, 2017

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