I work at IRIDeS, Tohoku University as an Associate Professor now in Sendai, Japan.

My research interests include Photogrammetry & Remote Sensing and its applications to urban monitoring and disaster science. I have published 40+ papers at top international P&RS conferences and journals such as ISPRS Journal of P&RS, IEEE TGRS, IEEE J-STARS, GSIS and RS.

I welcome highly motivated Master/Ph.D. students interested in deep learning for photogrammetry and remote sensing to work with me. If you are interested, please feel free to contact me at wei.yuan@tohoku.ac.jp.

🔥 News

• 2024.11:  🎉🎉 I will hold a session “Close-range Sensing of Environment” with Prof. Xinlian Liang by IGARSS2025 in Brisbane next year.
• 2024.10:  🎉🎉 Awarded as Best Young Researcher Award by ISPRS Commission IV in Perth, Australia.
• 2024.05:  🎉🎉 One paper is accepted by Applied Energy.
• 2024.05:  🎉🎉 I will hold a session “Close-range Sensing of Environment” with Prof. Xinlian Liang at IGARSS2024 in Athens this July.
• 2024.05:  🎉🎉 One paper is accepted by ISPRS TC-IV Syposium as an oral presentation.
• 2024.04:  🎉🎉 One paper is accepted by iScience.
• 2024.04:  🎉🎉 One paper is accepted by IEEE TGRS.
• 2024.02:  🎉🎉 One paper is accepted by ISPRS journal of P&RS.
• 2024.02:   I joined IRIDeS, Tohoku University as an Associate Professor in Sendai, Japan!
• 2023.09:  🎉🎉 One paper is accepted by IEEE J-STARS.
• 2023.08:  🎉🎉 One paper is accepted by IEEE TITS.
• 2023.04:  🎉🎉 One paper is accepted by Geo-spatial Information Science.
• 2023.04:  🎉🎉 One paper is accepted by P&RS workshop at CVPR2023.
• 2023.02:  🎉🎉 Two Papers are accepted by IGARSS2023 one oral and one poster.
• 2023.02:  🎉🎉 One Paper is accepted by Remote Sensing.

💻 Academic/Teaching Experience

• 2024.02 - present, Associate Professor, International Research Institute of Disaster Science, Tohoku University.
• 2020.04 - 2024.01, Project Assistant Professor, Center for Spatial Information Science, The University of Tokyo.
• 2018.10 - 2020.03, Project Researcher, Center for Spatial Information Science, The University of Tokyo.

📖 Educations

• 2012.09 - 2020.06, Ph.D., Photogrammetry and Remote Sensing, Wuhan University.
• 2015.10 - 2018.09, Ph.D., Civil Engineering, The University of Tokyo.
• 2014.10 - 2015.09, Master, Civil Engineering, The University of Tokyo.

📝 Selected Publications

📷 Dense Image Matching

Remote Sensing

Dense image-matching via optical flow field estimation and fast-guided filter refinement
Wei Yuan, Xiuxiao Yuan, Shu Xu, Jianya Gong, Ryosuke Shibasaki

• GSIS Fully automatic DOM generation method based on optical flow field dense image matching, Wei Yuan, Xiuxiao Yuan, Yang Cai, Ryosuke Shibasaki.
• ISPRS2024 The Performance of the Optical Flow Field based Dense Image Matching for UAV Imagery, Wei Yuan, Weihang Ran, Bruno Adriano, Ryosuke Shibasaki, Shunichi Koshimura.(Best Young Scientist Award)
• CVPR2023 Few-Shot Depth Completion Using Denoising Diffusion Probabilistic Model, Weihang Ran, Wei Yuan*, Ryosuke Shibasaki.
• ISPRS2020 Unsupervised Multi-Constraint Deep Neural Network for Dense Image Matching, Wei Yuan, Zipei Fan, Xiuxiao Yuan, Jianya Gong, Ryosuke Shibasaki.
• AGCS Research developments and prospects on dense image matching in photogrammetry, Xiuxiao Yuan, Wei Yuan, Shu Xu, Yanhua Ji.
• ISPRS2016 An aerial-image dense matching approach based on optical flow field, Wei Yuan, Shiyu Chen, Yong Zhang, Jianya Gong, Ryosuke Shibasaki.

📐 Tie Point Matching

ISPRS Journal of P&RS

Poor textural image tie point matching via graph theory
Xiuxiao Yuan, Shiyu Chen, Wei Yuan*, Yang Cai

• ISPRS J P&RS A cluster-based disambiguation method using pose consistency verification for structure from motion, Ye Gong, Pengwei Zhou, Changfeng Liu, Yan Yu, Jian Yao, Wei Yuan, Li Li.
• GIS of WU An automatic detection method of mismatching points in remote sensing images based on graph theory, Xiuxiao Yuan, Wei Yuan*, Shiyu Chen.
• RS Matching multi-sensor remote sensing images via an affinity tensor, Shiyu Chen, Xiuxiao Yuan, Wei Yuan*,et al.

📌 Ortho Photo Mosaicking

TGRS

Hybrid network-based automatic seamline detection for orthophoto mosaicking
Wei Yuan, Yang Cai, Jonathan Li

• RS Voronoi centerline-based seamline network generation method, Xiuxiao Yuan, Yang Cai, Wei Yuan.
• RS Optimal seamline detection for orthoimage mosaicking by combining deep convolutional neural network and graph cuts, Li Li, Jian Yao, Yahui Liu, Wei Yuan, Shuzhu Shi, Shenggu Yuan.

🔎 Urban Object Detection

IEEE J-STARS

Multi-Constraint Transformer based Automatic Building Extraction from High Resolution Remote Sensing Images
Wei Yuan, Weihang Ran, Xiaodan Shi, Ryosuke Shibasaki

• APEN General generative AI-based image augmentation method for robust rooftop PV segmentation, Hongjun Tan, Zhiling Guo, Zhengyuan Lin, Yuntian Chen, Dou Huang, Wei Yuan, Haoran Zhang, Jinyue Yan
• IGARSS2023 Graph Encoding based Hybrid Vision Transformer for Automatic Road Network Extraction, Wei Yuan, Weihang Ran, Xiaodan Shi, Zipei Fan, Yang Cai, Ryosuke Shibasaki. (Oral)
• IGARSS2023 Hybrid Feature Embedding for Automatic Building Outline Extraction, Weihang Ran, Wei Yuan*, Xiaodan Shi, Zipei Fan, Ryosuke Shibasaki.
• IGARSS2022 Cross-Scale Attention-based Tree Crown Detection via UAV imagery, Wei Yuan, Xiaodan Shi, Zhiling Guo, Zipei Fan, Jianya Gong, Ryosuke Shibasaki. (Oral)
• ISPRS2021 Graph neural network based multi-feature fusion for building change detection, Wei Yuan, Xiuxiao Yuan, Zipei Fan, Zhiling Guo, Xiaodan Shi, Jianya Gong, Ryosuke Shibasaki. (Oral)
• RS Automatic building segmentation of aerial imagery using multi-constraint fully convolutional networks, Guangming Wu, Xiaowei Shao, Zhiling Guo, Qi Chen, Wei Yuan, Xiaodan Shi, Yongwei Xu, Ryosuke Shibasaki.

📊 Others

iScience

Nuclei-level Prior Knowledge Constrained Multiple Instance Learning for breast histopathology whole slide image classification
Xunping Wang, Wei Yuan*.

• IEEE TITS MetaTraj: meta-learning for cross-scene cross-object trajectory prediction, Xiaodan Shi, Haoran Zhang, Wei Yuan, Ryosuke Shibasaki.
• SIGSPATIAL'22 Online trajectory prediction for metropolitan scale mobility digital twin, Zipei Fan, Xiaojie Yang, Wei Yuan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki.
• ISPRS2022 Learning Social Compliant Multi-Modal Distributions of Human Path in Crowds, Xiaodan Shi, Haoran Zhang, Wei Yuan, Dou Huang, Zhiling Guo, Ryosuke Shibasaki. (Best Young Author Paper Award)

🎖 Honors and Awards

• 2024.10 Best Young Researcher Award, ISPRS Commission IV, Perth, Australia.
• 2022.07 Best Young Author paper award (co-authured), ISPRS2022, Nice, France.
• 2015.10 MEXT Scholarship (Ph.D.), The University of Tokyo. Tokyo, Japan.
• 2014.10 MEXT Scholarship (Master), The University of Tokyo. Tokyo, Japan.
• 2012.06 Outstanding Graduate Award of Hubei Province, Wuhan, China.

💰 Funded Projects

• 2024.06 - 2025.06, Foundation modal based multi-modal data fusion for efficient disaster response, Co-Creation Project of IRIDeS. (PI)
• 2024.06 - 2025.06, Resilience patterns of multiscale human mobility under extreme rainfall events using massive individual trajectory data, Co-Creation Project of IRIDeS. (PI)
• 2024.06 - 2025.06, Incorporate the Mobility Dynamic into the Flood-affected Population Estimation. Co-Creation Project of IRIDeS. (PI)
• 2024.04 - 2027.03, Enabling Human-Centered Digital Twin for Community Resilience, Japan Science and Technology Agency. (CI)
• 2023.04 - 2026.03, Multi-task learning based post-disaster mapping via multi-modal remote sensing observations, Japan Society for Promotion of Science. (PI)
• 2022.04 - 2025.03, Heterogeneous Graph Neural Network based Federated Mobile Crowdsensing, Japan Society for Promotion of Science. (CI)
• 2019.04 - 2022.03, A study of satellite-based mapping of real estate price and its applications, Japan Society for Promotion of Science. (CI)

🎓 Open Positions

• 1 Fully funded Ph.D. positions at Tohoku University through I-CEEC research on AI for earth observation data analysis. (Start from Oct.2025 DDL for application 28th, Nov)
• Accept CSC funded Ph.D. students. For details, please contact at wei.yuan@tohoku.ac.jp