权豆

华山菁英副教授

通信地址：西安市雁塔区太白南路2号

电子邮箱：quandou@xidian.edu.cn

办公地点：南校区网安大楼C-II区0919

权豆，博士，西安电子科技大学副教授、华山学者菁英副教授、陕西省科学技术协会青年人才托举计划入选者；人工智能学院，智能感知与图像理解教育部重点实验室成员。主持和参与国家自然科学基金，科技部，中国博士后科学基金等多个国家级项目，及中国电科20所，航天宏图等公司关键技术项目。目前，主要从事深度学习、机器视觉、遥感影像处理等方面的研究，相关工作发表在了IEEE TNNLS、IEEE TIP、IEEE TGRS、ISPRS 以及CCF-A类计算机视觉会议ICCV等领域内国际主流期刊和会议上，并指导学生在CVPR、IJCAI、IGARSS等多项国际竞赛中获奖。

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工作教育背景：

2022年1月——至今，西安电子科技大学，华山学者菁英副教授

2019年11月——2020年11月，法国国家信息与自动化研究所 INRIA，联培博士

2015年09月——2021年12月，西安电子科技大学，博士

2011年08月——2015年07月，西安电子科技大学，学士

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研究方向：

1. 异源图像匹配与配准

2. 变化检测

3. 深度度量学习

4. 深度模型轻量化

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科研项目：

1. 国家自然科学基金委员会,青年科学基金项目,基于深度特征关系学习的光学和SAR图像配准研究,在研，主持

2. 中国博士后科学基金会,面上基金项目资助,基于深度特征和关系蒸馏的跨场景遥感图像快速配准研究,在研, 主持

3. 科技部，科技创新2030“新一代人工智能”重大项目，基于深度学习开源框架构建生态系统，在研，参与

4. 国家自然科学基金委员会,面上项目,基于深度域适应的高分辨遥感影像地物分类,在研,参与

5. 国家自然科学基金委员会,面上项目,基于生成式对抗网的极化SAR地物分类,结题,参与

6.陕西省科技厅,陕西省重点产业创新链（群)，面向高分辨率遥感影像的智能化标注云平台,在研,参与

• Rufan Zhou,Dou Quan,Shuang Wang, Chonghua Lv, Xianwei Cao, Jocelyn Chanussot, Yi Li, Licheng Jiao, A Unified Deep Learning Network for Remote Sensing Image Registration and Change Detection,IEEE Transactions on Geoscience and Remote Sensing, 2023.
• Dou Quan, Huiyuan Wei,Shuang Wang, Yu Gu, Biao Hou, Licheng Jiao, A Novel Coarse-to-Fine Deep Learning Registration Framework for Multi-Modal Remote Sensing Images,IEEE Transactions on Geoscience and Remote Sensing, 2023.
• Dou Quan, Huiyuan Wei,Shuang Wang, Yi Li, Jocelyn Chanussot, Yanhe Guo, Biao Hou, Licheng Jiao, Efficient and Robust: A Cross-modal Registration Deep Wavelet Learning Method for Remote Sensing Images,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2023.
• Shuang Wang, Qi Zang, Dong Zhao, Chaowei Fang,Dou Quan, Yutong Wan, Yanhe Guo, Licheng Jiao, Select, purify, and exchange: A multisource unsupervised domain adaptation method for building extraction,IEEE Transactions on Neural Networks and Learning Systems, 2023.
• Dong Zhao,Shuang Wang, Qi Zang,Dou Quan, Xiutiao Ye, Rui Yang, Licheng Jiao, Learning pseudo-relations for cross-domain semantic segmentation,Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023.
• Dong Zhao,Shuang Wang, Qi Zang,Dou Quan, Xiutiao Ye, Licheng Jiao, Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation,Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
• Dou Quan,Shuang Wang, Ning Huyan, Yi Li, Ruiqi Lei, Jocelyn Chanussot, Biao Hou, Licheng Jiao, A Concurrent Multiscale Detector for End-to-End Image Matching,IEEE Transactions on Neural Networks and Learning Systems, 2022.
• Dou Quan,Shuang Wang, Yu Gu, Ruiqi Lei, Bowu Yang, Shaowei Wei, Biao Hou, Licheng Jiao, Deep feature correlation learning for multi-modal remote sensing image registration,IEEE Transactions on Geoscience and Remote Sensing, 2022.
• Dou Quan, Huiyuan Wei,Shuang Wang, Ruiqi Lei, Baorui Duan, Yi Li, Biao Hou, Licheng Jiao, Self-Distillation Feature Learning Network for Optical and SAR Image Registration,IEEE Transactions on Geoscience and Remote Sensing, 2022.
• Ning Huyan,Dou Quan, Xiangrong Zhang, Xuefeng Liang, Jocelyn Chanussot, Licheng Jiao, Unsupervised outlier detection using memory and contrastive learning,IEEE Transactions on Image Processing, 2022.
• Ning Huyan, Xiangrong Zhang,Dou Quan, Jocelyn Chanussot, Licheng Jiao, AUD-Net: A Unified Deep Detector for Multiple Hyperspectral Image Anomaly Detection via Relation and Few-Shot Learning,IEEE Transactions on Neural Networks and Learning Systems, 2022.
• Dou Quan,Shuang Wang, Yi Li, Bowu Yang, Ning Huyan, Jocelyn Chanussot, Biao Hou, Licheng Jiao, Multi-relation Attention Network for Image Patch Matching,IEEE Transactions on Image Processing，2021.
• Dou Quan,Shuang Wang, Ning Huyan, Jocelyn Chanussot, Ruojing Wang, Xuefeng Liang, Biao Hou, Licheng Jiao, Element-wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching,IEEE Transactions on Neural Networks and Learning Systems, 2020.
• Shuang Wang,Dou Quan, Xuefeng Liang, Mengdan Ning, Yanhe Guo, Licheng Jiao, A deep learning framework for remote sensing image registration,ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018.
• Dou Quan, Xuefeng Liang,Shuang Wang, ShaoweiWei, Yanfeng Li, Ning Huyan, Licheng Jiao, AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching,IEEE International Conference on Computer Vision (ICCV), 2019. (CCF-A类会议，口头报告)
• Huiyuan Wei,Dou Quan, Ruiqi Lei, Baorui Duan,Shuang Wang, Yi Li, Biao Hou, Licheng Jiao, Deep Modality Independent Descriptor Learning for Optical and SAR Image Patch Matching,IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2022.
• Baorui Duan,Dou Quan, Yi Li, Ruiqi Lei,Shuang Wang, Biao Hou, Licheng Jiao, A feature decomposition framework for multi-modal image patch matching,IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2021.
• Shuang Wang, Yanfeng Li, Xuefeng Liang,Dou Quan, Bowu Yang, Shaowei Wei, Licheng Jiao, Better and Faster: Exponential Loss for Image Patch Matching,IEEE International Conference on Computer Vision (ICCV), 2019.
• Shuai Fang,Dou Quan,Shuang Wang, Lei Zhang, Ligang Zhou, A Two-branch Network With Semi-Supervised Learning for Hyper-spectral Classification,IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2018.
• Dou Quan, Shuai Fang, Xufeng Liang,Shuang Wang, Licheng Jiao, Cross-spectral Image Patch Matching by Learning Features of the Spatially Connected Patches in a Shared Space,Asian Conference on Computer Vision (ACCV), 2018.
• Dou Quan,Shuang Wang, Xuefeng Liang, Ruojing Wang, Shuai Fang, Biao Hou, Licheng Jiao, Deep Generative Matching Network for Optical and SAR Image Registration,IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2018.
• Dou Quan,Shuang Wang, Mengdan Ning, Tao Xiong, Licheng Jiao, Using Deep Neural Networks for Synthetic Aperture Radar Image Registration,IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2016.