邹征夏 - 北京航空航天大学

个人简介

邹征夏，教授、博士生导师，国家级青年人才，合作导师史振威教授（国家杰青），主要从事遥感图像处理、人工智能、计算机视觉领域的研究。邹征夏分别于2013年和2018年在北京航空航天大学获得学士和博士学位，2018年至2021年在美国密西根大学从事博士后研究工作，博士后合作导师Jieping Ye教授（人工智能专家、IEEE Fellow、ACM杰出科学家）和Henry Liu教授（智能交通专家、世界首个自动驾驶测试场MCity主任）。邹征夏以第一/通讯作者身份在 Proceedings of the IEEE（IEEE旗舰期刊）、Nature Communications（Nature子刊封面）、IEEE Transactions汇刊、CVPR、ICCV等重要期刊和会议发表学术论文20余篇，合作发表包括Nature（正刊封面）在内的学术论文50余篇，谷歌学术论文引用3700余次，单篇谷歌引用1500余次，GitHub订阅4000余次，入选2022全球前2%科学家名单（World's Top2％ Scientists 2022），研究成果连续四年收录于斯坦福大学的著名公开课“CS231n深度学习与计算机视觉”（美国三院院士李飞飞主讲）；主持国家自然科学基金优秀青年基金（海外）项目、第十二批北航青年拔尖人才项目，参与国家重点研发计划“科技创新2030-重大项目”课题、***创新特区项目、北航青年科学家团队项目、美国交通部项目、福特汽车公司等项目研究；受邀担任人工智能会议IJCAI高级委员会委员、TIP、NeurIPS、ICLR、CVPR、ECCV等重要期刊/会议的程序委员会委员/审稿人；获北航十佳博士研究生（北航研究生最高荣誉）、中国图象图形学学会优博论文提名奖。邹征夏的研究工作被新华社、中央电视台、New Scientists（新科学人）等多家高影响力媒体机构报道和采用，服务于航天国防、自动驾驶等重大应用需求，应用场景覆盖移动、路侧感知平台和航天遥感平台，包括福特汽车公司、全球首个自动驾驶测试场MCity，累计应用于国内外6颗遥感卫星。讲授课程：机器学习的数学基础（课程负责人，本科生必修课，2023春）、模式识别（本科生必修课，2023春）、航天智能探测原理及设计（本科生必修课，2022秋）、Deep Learning for Remote Sensing Image Processing（课程负责人，留学生课，2023秋）。指导本科生获全国“挑战杯”银奖1项，北京市“挑战杯”金奖1项，北京市“互联网+”一等奖1项、三等奖1项，“京彩大创”北京市大学生创新创业百粒金种子项目2项，北航“冯如杯”主赛道二等奖3项。教育经历 2013.9 -- 2018.7 北京航空航天大学控制科学与工程博士研究生毕业博士学位 2009.9 -- 2013.7 北京航空航天大学控制科学与工程大学本科毕业学士工作经历 2018.10 -- 2021.10 University of Michigan Postdoc Research Fellow

研究领域

遥感图像处理人工智能、计算机视觉、深度学习

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Zhengxia Zou* (*Corresponding author), Zhenwei Shi, Yuhong Guo, and Jieping Ye (*Corresponding author). Object Detection in 20 Years: A Survey. Proceedings of the IEEE, Volumn 111, Issue 13, 2023. [1500+ citations], Most Popular Article of the PIEEE 2023. [PDF] Xintao Yan+, Zhengxia Zou+ (+equal contribution), Shuo Feng, Haojie Zhu, Haowei Sun, Henry X. Liu* (*Corresponding author). Learning Naturalistic Driving Environment with Statistical Realism. Nature Communications (featured image), 2023. Featured in Editors' Highlights. [PDF] [Github] Shuo Feng, Haowei Sun, Xintao Yan, Haojie Zhu, Zhengxia Zou, Shengyin Shen, Henry X. Liu* (*Corresponding author). Dense Reinforcement Learning for Safety Validation of Autonomous Vehicles. Nature (cover), 2023. [PDF] [Github] Rui Zhao, Wei Li, Zhipeng Hu, Lincheng Li* (*Corresponding author), Zhengxia Zou* (*Corresponding author), Zhenwei Shi, Changjie Fan. Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation. Accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023. [PDF] Tianyang Shi+, Zhengxia Zou+ (+equal contribution), Zhenwei Shi, and Yi Yuan* (*Corresponding author). Neural Rendering for Game Character Auto-creation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022. [PDF] Zhengxia Zou (*Corresponding author), Rui Zhao, Tianyang Shi, Shuang Qiu, and Zhenwei Shi. Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos. IEEE Transactions on Image Processing, 2022. In press. [PDF] [Project] [GitHub (2.0k☆)] Zhengxia Zou, Rusheng Zhang, Shengyin Shen, Gaurav Pandey, Punarjay Chakravarty, Armin Parchami, and Henry X. Liu (*Corresponding author). Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras. The International Conference on Robotics and Automation (ICRA), 2022. [PDF] [1min-DemoVideo] Yongchang Wu, Zhengxia Zou* (*Corresponding author), and Zhenwei Shi. Remote Sensing Novel View Synthesis with Implicit Multiplane Representations. IEEE Transactions on Geoscience and Remote Sensing, 2022. [PDF] [Github] Jianqi Chen, Keyan Chen, Hao Chen, Wenyuan Li, Zhengxia Zou* (*Corresponding author), and Zhenwei Shi. Contrastive Learning for Fine-grained Ship Classification in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 2022. [PDF] Liqin Liu, Wenyuan Li, Zhenwei Shi, and Zhengxia Zou* (*Corresponding author). Physics-informed Hyperspectral Remote Sensing Image Synthesis with Deep Conditional Generative Adversarial Networks. IEEE Transactions on Geoscience and Remote Sensing, 2022. [PDF] [Github] Yinglin Duan, Yue Lin, Zhengxia Zou* (*Corresponding author), Yi Yuan, Zhehui Qian, Bohan Zhang. A Unified Framework for Real Time Motion Completion. AAAI Conference on Artificial Intelligence (AAAI) 2022, Oral Presentation. [PDF] Zhengxia Zou (*Corresponding author), Tianyang Shi, Shuang Qiu, Yi Yuan, and Zhenwei Shi. Stylized Neural Painting. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021, Oral Presentation. [PDF] [Project] [GitHub (1.5k☆)] Zhengxia Zou (*Corresponding author), Sen Lei, Tianyang Shi, Zhenwei Shi, and Jieping Ye. Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020. [PDF] [Github] Zhengxia Zou (*Corresponding author), Tianyang Shi, Zhenwei Shi, and Jieping Ye. Adversarial Training for Solving Inverse Problems in Image Processing. IEEE Transactions on Image Processing, 2021. [PDF] [1min-DemoVideo] [Github] Zhengxia Zou (*Corresponding author), Wenyuan Li, Tianyang Shi, Zhenwei Shi, and Jieping Ye. Generative Adversarial Training for Weakly Supervised Cloud Matting. IEEE International Conference on Computer Vision (ICCV) 2019. [PDF] [Github] Zhengxia Zou, and Zhenwei Shi (*Corresponding author). Random access memories: A new paradigm for target detection in high resolution aerial remote sensing images. IEEE Transactions on Image Processing, 2018. Zhengxia Zou, and Zhenwei Shi (*Corresponding author). Ship Detection in Spaceborne Optical Image With SVD Networks. IEEE Transactions on Geoscience and Remote Sensing, 2016. Zhenwei Shi, and Zhengxia Zou* (Corresponding author). Can a machine generate humanlike language descriptions for a remote sensing image? IEEE Transactions on Geoscience and Remote Sensing, 2017. Zhengxia Zou, and Zhenwei Shi (*Corresponding author). Hierarchical suppression method for hyperspectral target detection. IEEE Transactions on Geoscience and Remote Sensing, 2015.