People

Dr Yakun Ju

Lecturer (Assistant Professor)

Profile of Yakun Ju

School/Department: Computing and Mathematical Sciences, School of

Email: yj174@leicester.ac.uk

Address: Room 611, Ken Edwards Building, School of Computing and Mathematical Sciences, University of Leicester, University Road, Leicester LE1 7RH

Web: ORCID: 0000-0003-4065-4108
Personal webpage: https://juyakun.github.io/

Profile

Yakun Ju is a Lecturer (Assistant Professor) in Computer Science at University of Leicester, School of Computing and Mathematical Sciences. Previously, he served as a Research Fellow at Nanyang Technological University, and as a Postdoctoral Fellow at The Hong Kong Polytechnic University. Yakun earned his Bachelor's degree from Sichuan University in 2016 and his Ph.D. from Ocean University of China in 2022. His research interests span 3D reconstruction, medical image processing, underwater information perception, computational imaging, and low-level vision. He has authored over 50 publications in top-ranked journals and conferences, including IEEE TPAMI, IEEE TIP, IEEE TVCG, IJCV, CVPR, NeurIPS, AAAI, and IJCAI, etc. Yakun also contributes as an editorial board member or guest editor for seven journals.

Research

His general research interests mainly focus on the areas of computer vision, with the following research topics:

  • 3D Reconstruction: Photometric Stereo, Structure from Motion, Binocular Stereo, Monocular Depth Estimation, Mesh Reconstruction, 3D Gaussian Splatting
  • Medical Image Processing: Retina Reconstruction, Spine Segmentation, Brain Segmentation
  • Underwater Information Perception: Underwater Objects Reconstruction, Sonar Reconstruction, Underwater Image Restoration, Sonar-Camera Fusion, Marine Remote Sensing
  • Computational Imaging: CT/THZ/Hyperspectral Images Reconstruction, Image Super-resolution, Low-light Enhancement, Image Deraining/Denoising/Warping/Re-lighting, Image Rendering
  • Deep Learning: Convolutional Neural Network, Transformer, Self-supervised Learning

Publications

  • 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]

  • Estimating Highresolution 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]

  • Incorporating Lambertian Priors into Surface Normals Measurement
    Yakun Ju, Muwei Jian, Shaoxiang Guo, Yingyu Wang, Huiyu Zhou, Junyu Dong
    IEEE Transactions on Instrumentation and Measurement (TIM), 2021 [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 (INFFUS), 2024 [Paper]

  • Learning Conditional Photometric Stereo with High-resolution Features
    Yakun Ju, Yuxin Peng, Muwei Jian, Feng Gao, Junyu Dong
    Computational Visual Media (CVMJ), 2022 [Paper]

  • A dual-cue network for multispectral photometric stereo
    Yakun Ju, Xinghui Dong, Yingyu Wang, Lin Qi, Junyu Dong
    Pattern Recognition (PR), 2020 [Paper]

  • Learning Conditional Photometric Stereo with High-resolution Features
    Yakun Ju, Kin-Man Lam, Yang Chen, Lin Qi, Junyu Dong
    International Conference on International Joint Conferences on Artificial Intelligence (IJCAI), 2020 [Paper]

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

  • A deep-shallow and global–local multi-feature fusion network for photometric stereo
    Yanru Liu, Yakun Ju*, Muwei Jian, Feng Gao, Yuan Rao, Yeqi Hu, Junyu Dong
    Image and Vision Computing (IVC), 2022 [Paper]

  • A Structure-Affinity Dual Attention-based Network to Segment Spine for Scoliosis Assessment
    Hao Xie, Zixun Huang, Frank H.F. Leung, Yakun Ju*, Yong-Ping Zheng, Sai Ho Ling
    IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023 [Paper]

  • Exposing Image Splicing Traces in Scientific Publications via Uncertainty-guided Refinement
    Xun Lin, Wenzhong Tang, Haoran Wang, Yizhong Liu, Yakun Ju, Shuai Wang, Zitong Yu
    Patterns - Cell Press, 2024 [Paper]

  • Learning General Descriptors for Image Matching with Regression Feedback
    Yuan Rao, Yakun Ju, Cong Li, Eric Rigall, Jian Yang, Hao Fan, Junyu Dong
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023 [Paper]

  • Learning Enriched Feature Descriptor for Image Matching and Visual Measurement
    Yuan Rao, Yakun Ju, Sen Wang, Hao Fan, Junyu Dong
    IEEE Transactions on Instrumentation and Measurement (TIM), 2023 [Paper]

  • 3D Hand Pose Estimation from Monocular RGB with Feature Interaction Module
    Shaoxiang Guo, Eric Rigall, Yakun Ju, Junyu Dong
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022 [Paper]

  • Efficient Inductive Vision Transformer for Oriented Object Detection in Remote Sensing Imagery
    Cong Zhang, Jingran Su, Yakun Ju, Kin-Man Lam, Qi Wang
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023 (ESI Highly Cited Paper) [Paper]

  • Learning General Feature Descriptor for Visual Measurement With Hierarchical View Consistency
    Yuan Rao, Jian Yang, Yakun Ju, Cong Li, Eric Rigall, Hao Fan, Junyu Dong
    IEEE Transactions on Instrumentation and Measurement (TIM), 2022 [Paper]

  • Flow-Edge-Net: Video Saliency Detection Based on Optical Flow and Edge-Weighted Balance Loss
    Muwei Jian, Xiangwei Lu, Xiaoyang Yu, Yakun Ju, Hui Yu, Kin-Man Lam
    IEEE Transactions on Computational Social Systems (TCSS), 2023 [Paper]

  • pmBQA: Projection-based Blind Point Cloud Quality Assessment via Multimodal Learning
    Wuyuan Xie, Kaimin Wang, Yakun Ju, Miaohui Wang
    ACM International Conference on Multimedia (MM), 2023 [Paper]

  • Towards Progressive Multi-Frequency Representation for Image Warping
    Jun Xiao, Zihang Lyu, Cong Zhang, Yakun Ju, Changjian Shui, Kin-Man Lam
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 [Paper]

  • Promptrestorer: A prompting image restoration method with degradation perception
    Cong Wang, Jinshan Pan, Wei Wang, Jiangxin Dong, Mengzhu Wang, Yakun Ju, Junyang Chen
    Advances in Neural Information Processing Systems (NeurIPS), 2023 [Paper]

 

 

 

Supervision

I am always looking for Ph.D. students / CSC joint training students with strong motivation to work on computer vision / deep learning / computational imaging.  please feel free to contact me with your CV and Research Statement (yj174@leicester.ac.uk / kelvin.yakun.ju@gmail.com).

Teaching

  • CO4210/7210 Personal and Group Skills
  • CO3201 Computer Science Project
  • CO3204 Software Engineering Project

Activities

  • Associate Editor (Editorial Board) of Intelligent Marine Technology and Systems (IMTS)
  • Associate Editor (Editorial Board) of PLOS ONE
  • Associate Editor (Editorial Board) of Frontiers in Artificial Intelligence
  • Asspciate Editor (Editorial Board) of Metaverse
  • Guest Editor of Computer Vision and Image Understanding (CVIU)
  • Guest Editor of Frontiers in Marine Science
  • Guest Editor of Photonics

 

  • Conference Program Co-Chair of 2024 International Conference on Intelligent Data Analytics and Sustainable Systems (IDASS 2024)
  • Conferecnce Workshop Chair of 2025 IEEE International Conference on Multimedia & Expo (ICME 2025)
  • Conference Speical Track Chair of 2025 IEEE International Symposium on Circuits and Systems (ISCAS 2025)
  • Conference Workshop Program Committee of 2024 IEEE International Conference on Image Processing (ICIP 2024)
  • Conferecnce Session Chair of 2023 IEEE International Conference on Multimedia & Expo (ICME 2023)

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