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Zhengxia Zou, Ph.D.

I am currently a Professor at the School of Astronautics, Beihang University. I received my Ph.D. and B.S. from Beihang University in 2018 and 2013, supervised by Prof. Zhenwei Shi. During 2018 - 2021, I was a postdoc research fellow at the University of Michigan, Ann Arbor, working with Prof. Jieping Ye and Prof. Henry Liu. I study computer vision, deep learning, and related problems in remote sensing and autonomous driving.

Email: zhengxiazou [at] gmail [dot] com; zhengxiazou [at] buaa [dot] edu [dot] cn

[中文主页] | [Google Scholar Profile] | [Github Profile]

[Intern position]: I am hiring self-motivated graduate/undergraduate students. Intern positions are always available. Please email me with your CV if you are interested.

NEW (08/2024): I will be serving as the Associate Editor of IEEE Transactions on Image Processing.

NEW (08/2024): I was elected as a senior member of IEEE.

NEW (06/2024): Our research on generative foundational models for remote sensing was reported by the National Natural Science Foundation of China (NSFC).

NEW (12/2023): I am organizing a special issue for the new Nature journal, Communications Engineering, which is the first Nature journal dedicated to the engineering field. The theme is “Technologies for Augmented and Virtual Reality.” Submissions are welcome.

NEW (04/2023): Our paper on driving environment simulation got accepted to Nature Communications.

NEW (03/2023): Our paper on autonomous vehicle testing got accepted to Nature (cover). Congratulations!

NEW (02/2023): One paper accepted to CVPR 2023 (featured in New Scientist (新科学人)).

NEW (01/2023): Our survey paper on object detection got accepted by Proceedings of the IEEE.

Research Highlights

Research interest and impact

Dr. Zhengxia Zou's primary research interests include computer vision and deep learning (e.g., visual perception, generation, and predictive modeling), with applications in remote sensing and autonomous driving. He has published papers as the first/corresponding author in leading journals such as Proceedings of the IEEE, Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, and IEEE Transactions on Geoscience and Remote Sensing, as well as in major conferences like IEEE/CVF Computer Vision and Pattern Recognition Conference and IEEE/CVF International Conference on Computer Vision. He has co-authored over 80 academic papers, including Nature (cover), with five highly cited and three hot papers in ESI. His work has been cited over 6000 times on Google Scholar, with one paper receiving over 2500 citations. His open-source projects on GitHub have over 4000 subscriptions, and two of his papers were selected as “Top-10 Trending Research” on PapersWithCode. He was listed among the top 2% of scientists worldwide in 2022 and 2023 (Stanford/Elsevier’s Top 2% Scientists). He is an Associate Editor of IEEE Transactions on Image Processing. His research has been reported by media outlets such as Xinhua News Agency, NSFC, New Scientists, AAAS, MIT Technology Review, and etc.

Selected Publication

I. Visual Perception

Zhengxia Zou* (*Corresponding author), Zhenwei Shi, Yuhong Guo, and Jieping Ye*. Object Detection in 20 Years: A Survey. Proceedings of the IEEE, Volumn 111, Issue 13, 2023. [2600+ citations], Ranks #1 in Most Popular Articles, Ranks #1 in Most Downloaded Articles. [PDF]

Extensively reviews the fast-moving research field of object detection in the light of technical evolution, spanning over a quarter-century's time (from the 1990s to 2022). A number of topics are covered in this paper, including milestone detectors, detection datasets, metrics, fundamental building blocks of detection systems, speed up techniques, and the recent state of the art detection methods.

- High-impact citation: Stanford CS231n: Convolutional Neural Networks for Visual Recognition (2019-2023).

- Media coverage: [PIEEE] Proceedings of the IEEE Paper Explores Object Detection's Evolution and Future Directions | [专知] 密歇根大学40页最新论文带你全面了解目标检测 

- In other languages:  English-to-Chinese (1) |  English-to-Chinese (2) 


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]

Deployed at a two-lane roundabout located at Ellsworth Rd. and State St., Ann Arbor, MI, USA, providing 7x24 real-time traffic flow monitoring for hazardous driving scenarios identification.

- Media coverage: [Mcity] Mcity 2.0 Mobility Data Center.

II. Generation and Rendering

Zhiping Yu, Chenyang Liu, Liqin Liu, Zhenwei Shi, Zhengxia Zou* (*Corresponding author). MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation. ArXiv, 2024. [PDF]

- Media coverage: [国家自然科学基金委] 我国学者在遥感生成式模型方向取得进展 | [北京航空航天大学] 用AI俯瞰全球,北航最新研究成果 | [中国图象图形学学会] [量子位] 把整个地球装进神经网络，北航团队推出全球遥感图像生成模型


Rui Zhao, Wei Li, Zhipeng Hu, Lincheng Li*, 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]

- Featured apps: Justice Mobile (The first plausible solution for text-driven game characters auto-creation).

- Media coverage: [New Scientist (新科学人)] Character creator AI puts Barack Obama – or anyone – in a video game | [AUTOMATON] AI利用で「言葉で頼むだけでキャラクリしてくれる」技術成果を研究者らが報告。動物から著名人まで幅広くテキストで指定可


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☆)]

- Media coverage: [机器之心] 建造自己的“天空之城”，密歇根大学博士后的这项研究可以虚空造物、偷天换日 | [TNW] This open-source AI tool can make your video spectacular with sky replacement effects | [Weights and Biases] The Sky Is In Our Grasp


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☆)]

- Featured apps: REMINI and 你我当年, two photo editors with 10M+ users worldwide | RunwayML, a web-based video editor

- Media coverage:  [新华社] 动动手，一起为春天中国“添彩” - 送您一支AI画笔, 为祖国春天涂抹万千风情 |  [中国记者（新华社期刊）] 风格化神经绘画技术在主题宣传中的应用 | [机器之心] 有了这支矢量神经风格画笔，无需GAN也可生成精美绘画 | [MarkTechPost] An Image-To-Painting Translation Method That Generates Painting Artworks With Controllable Styles

III. Predictive Modeling

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] 

We develop NeuralNDE, a Transformer-based framework to learn multi-agent interaction behavior from real-world vehicle trajectory data. NeuralNDE can achieve both accurate safety-critical and normal driving statistics.

- Media coverage:  [EurekAlert] [TechXplore] [Michigan News] World’s first realistic simulated driving environment based on ‘crash-prone’ Michigan intersection. | [量子位] 自动驾驶仿真系统登Nature子刊，准确建模事故率事故类型，全华人团队打造 | [MIT科技评论] 密西根大学团队开发高精度自然驾驶仿真算法，为自动驾驶开发提供仿真基础


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] 

One critical bottleneck that impedes the development and deployment of autonomous vehicles is the prohibitively high economic and time costs required to validate their safety in a naturalistic driving environment, owing to the rarity of safety-critical events. Here we report the development of an intelligent testing environment, where artificial-intelligence-based background agents are trained to validate the safety performances of autonomous vehicles in an accelerated mode, without loss of unbiasedness.

- Media coverage: [Nature News] Hazards help autonomous cars to drive safely. | [Nature Podcast] How to make driverless cars safer — expose them to lots of dangerous drivers | [Michigan Engineering] Simulated terrible drivers cut the time and cost of AV testing by a factor of one thousand


Publication List

For my full publication list, please go to my google scholar profile
  • Bowen Chen, Keyan Chen, Liqin Liu, Zhenwei Shi, and Zhengxia Zou* (corresponding author). Leveraging Language-aligned Visual Knowledge for Remote Sensing Image Spectral Super-resolution. 2024 Workshop on Hyperspectral Image and Signal Processing (WHISPERS). 2024.

  • Bowen Chen, Liqin Liu, Chenyang Liu, Zhengxia Zou, and Zhenwei Shi. Spectral-Cascaded Diffusion Model for Remote Sensing Image Spectral Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 2024. In Press.

  • Jiajun Yang, Wenyuan Li, Keyan Chen, Zili Liu, Zhenwei Shi, and Zhengxia Zou* (corresponding author). Weakly Supervised Adversarial Training for Remote Sensing Image Cloud and Snow Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2024. In Press.

  • Zili Liu, Hao Chen, Lei Bai, Wenyuan Li, Keyan Chen, Zhengyi Wang, Wanli Ouyang, Zhengxia Zou and Zhenwei Shi. Deriving Accurate Surface Meteorological States at Arbitrary Locations via Observation-Guided Continous Neural Field Modeling. IEEE Transactions on Geoscience and Remote Sensing. 62, pp. 1-14, 2024.

  • Keyan Chen, Chenyang Liu, Hao Chen, Haotian Zhang, Wenyuan Li, Zhengxia Zou, and Zhenwei Shi. RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model. IEEE Transactions on Geoscience and Remote Sensing. 62, pp. 1-14, 2024.

  • Yu Zhang, Jianqi Chen, Liqin Liu, Keyan Chen, Zhenwei Shi, and Zhengxia Zou* (corresponding author). Generating Imperceptible and Cross-Resolution Remote Sensing Adversarial Examples Based on Implicit Neural Representations. IEEE Transactions on Geoscience and Remote Sensing. 62, pp. 1-13, 2024.

  • Yu Zhang, Jianqi Chen, Zhenbang Peng, Yi Dang, Zhenwei Shi, and Zhengxia Zou* (corresponding author). Physical Adversarial Attacks against Aerial Object Detection with Feature-aligned Expandable Textures. IEEE Transactions on Geoscience and Remote Sensing. 62, pp. 1-13, 2024.

  • Rusheng Zhang, Depu Meng, Lance Bassett, Shengyin Shen, Zhengxia Zou, and Henry X. Liu. Robust Roadside Perception: an Automated Data Synthesis Pipeline Minimizing Human Annotation. Transactions on Intelligent Vehicles. 2024.

  • Haotian Zhang, Hao Chen, Chenyao Zhou, Keyan Chen, Chenyang Liu, Zhengxia Zou, and Zhenwei Shi. BiFA: Remote Sensing Image Change Detection with Bitemporal Feature Alignment. IEEE Transactions on Geoscience and Remote Sensing. 2024.

  • Yifan Zao, Zhengxia Zou and Zhenwei Shi. Road Graph Extraction via Transformer and Topological Representation. IEEE Geoscience and Remote Sensing Letters. 2024.

  • Jianqi Chen, Yilan Zhang, Chenyang Liu, Keyan Chen, Zhengxia Zou, and Zhenwei Shi. Digital-to-Physical Visual Consistency Optimization for Adversarial Patch Generation in Remote Sensing Scenes. IEEE Transactions on Geoscience and Remote Sensing. 2024.

  • Jiaming Kang, Keyan Chen, Zhengxia Zou, Zhenwei Shi. Few-Shot Remote Sensing Novel View Synthesis with Geometry Constraint NeRF. Guidance, Navigation and Control. 2024.

  • Chenyang Liu, Keyan Chen, Bowen Chen, Haotian Zhang, Zhengxia Zou, and Zhenwei Shi. RSCaMa: Remote Sensing Image Change Captioning with State Space Model. IEEE Geoscience and Remote Sensing Letters. 2024.

  • Keyan Chen, Bowen Chen, Chenyang Liu, Wenyuan Li, Zhengxia Zou and Zhenwei Shi. RSMamba: Remote Sensing Image Classification with State Space Model. IEEE Geoscience and Remote Sensing Letters. 2024.

  • Chenyang Liu , Keyan Chen , Haotian Zhang , Zipeng Qi, Zhengxia Zou, Zhenwei Shi. Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis. IEEE Transactions on Geoscience and Remote Sensing. 2024.

  • Yu Zhang, Jianqi Chen, Zhenbang Peng, Yi Dang, Zhenwei Shi, and Zhengxia Zou. Physical Adversarial Attacks against Aerial Object Detection with Feature-aligned Expandable Textures. IEEE Transactions on Geoscience and Remote Sensing. 2024.

  • Chenyang Liu, Keyan Chen, Zipeng Qi, Zili Liu, Haotian Zhang, Zhengxia Zou, Zhenwei Shi. Pixel-Level Change Detection Pseudo-Label Learning for Remote Sensing Change Captioning. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), 2024. Oral.

  • Zili Liu, Hao Chen, Wenyuan Li, Keyan Chen, Zipeng Qi, Chenyang Liu, Zhengxia Zou, Zhenwei Shi. Learning to detect cloud and snow in remote sensing images from noisy labels. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), 2024.

  • Keyan Chen, Chengyang Liu, Wenyuan Li, Zili Liu, Hao Chen, Haotian Zhang, Zhengxia Zou, Zhenwei Shi. Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), 2024. Oral.

  • Zipeng Qi, Chenyang Liu, Zili Liu, Hao Chen, Yongchang Wu, Zhengxia Zou, Zhenwei Shi. Multi-view Remote Sensing Image Segmentation With SAM priors. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), 2024. Oral.

  • Jiajun Yang, Chenyang Liu, Keyan Chen, Zhengxia Zou, Zhenwei Shi. Residual Group Enhanced GAN for Remote Sensing Image Cloud Shadow Removal. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), 2024.

  • Chenyang Liu, Rui Zhao, Jianqi Chen, Zipeng Qi, Zhengxia Zou, Zhenwei Shi. A Decoupling Paradigm with Prompt Learning for Remote Sensing Image Change Captioning. IEEE Transactions on Geoscience and Remote Sensing. 61, pp. 1-18, 2023.

  • Keyan Chen, Wenyuan Li, Sen Lei, Jianqi Chen, Xiaolong Jiang, Zhengxia Zou, and Zhenwei Shi, Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function Space. IEEE Transactions on Geoscience and Remote Sensing. 61, pp. 1-16, 2023.

  • Hao Chen, Haotian Zhang, Keyan Chen, Chenyao Zhou, Song Chen, Zhengxia Zou, and Zhenwei Shi. Continuous Cross-resolution Remote Sensing Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 61, pp. 1-20, 2023.

  • Zhengxia Zou* (corresponding author), Keyan Chen, Zhenwei Shi, Yuhong Guo, and Jieping Ye*. Object Detection in 20 Years: A Survey. Proceedings of the IEEE. 111(3), pp. 257-276, 2023.

  • Xintao Yan#, Zhengxia Zou# (co-first author), Shuo Feng, Haojie Zhu, Haowei Sun, Henry X. Liu. Learning Naturalistic Driving Environment with Statistical Realism. Nature Communications. 14(1), pp. 2037, 2023.（Featured Image, Editor’s highlights）

  • Shuo Feng, Haowei Sun, Xintao Yan, Haojie Zhu, Zhengxia Zou, Shengyin Shen, Henry X. Liu. Dense Reinforcement Learning for Safety Validation of Autonomous Vehicles. Nature. 615(7953), pp. 620-627, 2023. (Cover Paper)

  • Rui Zhao, Wei Li, Zhipeng Hu, Lincheng Li*, Zhengxia Zou* (corresponding author), Zhenwei Shi, Changjie Fan. Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  • Yifan Zao, Zhengxia Zou and Zhenwei Shi. Topology-guided Road Graph Extraction from Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62, pp. 1-14, 2023.

  • Liqin Liu, Bowen Chen, Hao Chen, Zhengxia Zou, and Zhenwei Shi. Diverse Hyperspectral Remote Sensing Image Synthesis with Diffusion Models. IEEE Transactions on Geoscience and Remote Sensing. 61, pp. 1-16, 2023.

  • Yongqiang Zhang, Zhipeng Hu, Haoqian Wu, Minda Zhao, Lincheng Li, Zhengxia Zou, Changjie Fan. Towards Unbiased Volume Rendering of Neural Implicit Surfaces with Geometry Priors. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  • Zipeng Qi, Hao Chen, Chenyang Liu, Zhenwei Shi, and Zhengxia Zou* (corresponding author). Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 61, pp. 1-14, 2023.

  • Chendan Wang, Bowen Chen, Zhengxia Zou and Zhenwei Shi. Remote Sensing Image Synthesis via Semantic Embedding Generative Adversarial Networks. IEEE Transactions on Geoscience and Remote Sensing. 2023.

  • Yanhao Zhang, Fanyi Wang, Weixuan Sun, Jingwen Su, Peng Liu, Yaqian Li, Xinjie Feng, Zhengxia Zou. Matting Moments: A Unified Data-Driven Matting Engine for Mobile AIGC in Photo Gallery. International Joint Conference on Artificial Intelligence (IJCAI), 2023.

  • Jianqi Chen, Yilan Zhang, Zhengxia Zou, Keyan Chen, and Zhenwei Shi. Dense Pixel-to-Pixel Harmonization via Continuous Image Representation. IEEE Transactions on Circuits and Systems for Video Technology. 2023.

  • Bowen Chen, Liqin Liu, Zhengxia Zou, Zhenwei Shi. Target Detection in Hyperspectral Remote Sensing Image: Current Status and Challenges. Remote Sensing. 2023.

  • Lukui Shi, Ruiyun Zhao, Bin Pan, Zhengxia Zou and Zhenwei Shi. Unsupervised Multi-Modal Remote Sensing Image Registration via Domain Adaptation. IEEE Transactions on Geoscience and Remote Sensing. 2023.

  • Feng Tian, Sen Lei, Yingbo Zhou, Jialin Cheng, Guohao Liang, Zhengxia Zou, Zhenwei Shi. HiReNet: Hierarchical-Relation Network for Few-Shot Remote Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 2023.

  • 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, 31, pp. 5067-5078, 2022.

  • Tianyang Shi#, Zhengxia Zou# (co-first author), Zhenwei Shi and Yi Yuan. Neural Rendering for Game Character Auto-creation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(3), 2022.

  • Zhengxia Zou, Rusheng Zhang, Shengyin Shen, Gaurav Pandey, Punarjay Chakravarty, Armin Parchami, and Henry X. Liu. Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras. The International Conference on Robotics and Automation (ICRA), 2022.

  • 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)

  • Zhiqian Lin, Jiangke Lin, Lincheng Li, Yi Yuan, Zhengxia Zou* (corresponding author). High-Quality 3D Face Reconstruction with Affine Convolutional Networks. ACM International Conference on Multimedia (MM), 2022.

  • 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. 60, pp. 1-16, 2022.

  • 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. 60, pp. 1-15, 2022.

  • Liqin Liu, Zhengxia Zou and Zhenwei Shi. Hyperspectral Remote Sensing Image Synthesis based on Implicit Neural Spectral Mixing Models. IEEE Transactions on Geoscience and Remote Sensing. 61, pp. 1-14, 2022.

  • Yapeng Meng, Wenyuan Li, Sen Lei, Zhengxia Zou and Zhenwei Shi. Large-factor Super-resolution of Remote Sensing Images with Spectra-guided Generative Adversarial Networks. IEEE Transactions on Geoscience and Remote Sensing. 60, pp. 1-11, 2022.

  • Chenyang Liu, Rui Zhao, Hao Chen, Zhengxia Zou, and Zhenwei Shi. Remote Sensing Image Change Captioning with Dual-branch Transformers: A New Method and a Large Scale Dataset. IEEE Transactions on Geoscience and Remote Sensing. 60, pp. 1-20, 2022.

  • Jianqi Chen, Keyan Chen, Hao Chen, Zhengxia Zou, Zhenwei Shi. A Degraded Reconstruction Enhancement-based Method for Tiny Ship Detection in Remote Sensing Images with A New Large-scale Dataset. IEEE Transactions on Geoscience and Remote Sensing. 60, pp. 1-14, 2022.

  • 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. 60, pp. 1-13, 2022.

  • Keyan Chen, Wenyuan Li, Jianqi Chen, Zhengxia Zou* (*Corresponding author), and Zhenwei Shi. Resolution-agnostic Remote Sensing Scene Classification with Implicit Neural Representations. IEEE Geoscience and Remote Sensing Letters. 2022. In Press.

  • Zipeng Qi, Zhengxia Zou* (*Corresponding author), Hao Chen, Zhenwei Shi. 3D Reconstruction of Remote Sensing Mountain Areas with TSDF-based Neural Networks. Remote Sensing. 2022. In Press.

  • Zipeng Qi, Zhengxia Zou, Hao Chen and Zhenwei Shi. Remote Sensing Image Segmentation based on Implicit 3D Scene Representation. IEEE Geoscience and Remote Sensing Letters. 2022.

  • Zili Liu, Kun Hao, Xiaoyi Geng, Zhengxia Zou, and Zhenwei Shi. Dual-Branched Spatio-Temporal Fusion Network for Multihorizon Tropical Cyclone Track Forecast. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15, 3842-3852, 2022.

  • Jiangke Lin, Lincheng Li, Yi Yuan and Zhengxia Zou. Realistic Game Avatars Auto-Creation from Single Images via Three-pathway Network. IEEE Conference on Games, 2022.

  • Rusheng Zhang, Zhengxia Zou, Shengyin Shen, Henry X Liu. Design, Implementation, and Evaluation of a Roadside Cooperative Perception System. Transportation Research Record. 2022.

  • 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)

  • 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, 30, pp. 2513-2525, 2021.

  • Rui Zhao, Zhenwei Shi, and Zhengxia Zou. High-Resolution Remote Sensing Image Captioning Based on Structured Attention. IEEE Transactions on Geoscience and Remote Sensing. 60, pp. 1-14, 2021.

  • Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, Septimiu Salcudean, Z. Jane Wang, and Rabab Ward. Multi-view 3D Reconstruction with Transformer. IEEE International Conference on Computer Vision (ICCV), 2021. (Oral)

  • Xi Wu, Zhenwei Shi, and Zhengxia Zou. A Geographic Information-driven Method and A New Large-scale Dataset for Remote Sensing Cloud/Snow Detection.ISPRS Journal of Photogrammetry and Remote Sensing, 2021.

  • Jiangke Lin, Yi Yuan, and Zhengxia Zou. MeInGame: Create a Game Character Face from a Single Portrait. AAAI Conference on Artificial Intelligence (AAAI) 2021.

  • Huapeng Wu, Zhengxia Zou, Jie Gui, Wen-Jun Zeng, Jieping Ye, Jun Zhang, Hongyi Liu, and Zhihui Wei. Multi-grained Attention Networks for Single Image Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology, Feb. 31(2), 2021, pp. 512-522.

  • Yinglin Duan, Tianyang Shi, Zhipeng Hu, Zhengxia Zou, Changjie Fan, Yi Yuan, Xi Li. Automatic Translation of Music-to-Dance for In-Game Characters. International Joint Conference on Artificial Intelligence (IJCAI), 2021.

  • Keyan Chen, Zhengxia Zou, and Zhenwei Shi. Building extraction from remote sensing images with sparse token transformers. Remote Sensing 13 (21), 4441, 2021.

  • Yi Yuan, Jilin Tang, Zhengxia Zou. VANet: A View Attention Guided Network for 3D Reconstruction from Single and Multi-view Images. IEEE International Conference on Multimedia and Expo (ICME), 2021. (Oral Presentation)

  • 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.

  • Wenyuan Li, Zhengxia Zou* (corresponding author), and Zhenwei Shi*. Deep Matting for Cloud Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 58(12), pp. 8490-8502, 2020.

  • Sen Lei, Zhenwei Shi*, and Zhengxia Zou* (corresponding author). Coupled Adversarial Training for Remote Sensing Image Super-resolution. IEEE Transactions on Geoscience and Remote Sensing. 58(5), pp. 3633-3643, 2020.

  • Zhengxia Zou# (co-first author), Tianyang Shi#, Wenyuan Li, Zhou Zhang, and Zhenwei Shi. Do Game Data Generalize Well for Remote Sensing Image Segmentation? Remote Sensing, 2020, 12(2), 275.

  • Min Zhou#, Zhengxia Zou# (co-first author), Zhenwei Shi, Wen-Jun Zeng, Jie Gui. Local attention networks for occluded airplane detection in remote sensing images. IEEE Geoscience and Remote Sensing Letters, Mar. 17(3), 2020, pp. 381-385.

  • Tianyang Shi, Zhengxia Zou, Xinhui Song, Zheng Song, Changjian Gu, Yi Yuan, and Changjie Fan. Neutral Face Game Character Auto-Creation via PokerFace-GAN. ACM International Conference on Multimedia (ACM MM), 2020.

  • Tianyang Shi, Zhengxia Zou, Yi Yuan, and Changjie Fan. Fast and Robust Face-to-Parameter Translation for Game Character Auto-creation. AAAI Conference on Artificial Intelligence (AAAI), 2020.

  • 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.

  • Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, and Yong Liu. Face-to-Parameter Translation for Game Character Auto-Creation. IEEE International Conference on Computer Vision (ICCV), 2019.

  • Rui Zhao, Zhenwei Shi, Zhengxia Zou, Zhou Zhang. Ensemble-based cascaded constrained energy minimization for hyperspectral target detection. Remote Sensing, 2019, 11(11), 1310.

  • Zhengxia Zou and Zhenwei Shi, Random Access Memories: A New Paradigm for Target Detection in High-Resolution Aerial Remote Sensing Images. IEEE Transactions on Image Processing. 27(3), pp. 1100-1111, 2018.

  • Tianyang Shi, Qizhi Xu, Zhengxia Zou, Zhenwei Shi. Automatic raft labeling for remote sensing images via dual-scale homogeneous convolutional neural network. Remote Sensing, 2018, 10(7), 1130.

  • Min Zhou, Minhao Jing, Dunge Liu, Zhenghuan Xia, Zhengxia Zou, Zhenwei Shi. Multi-resolution networks for ship detection in infrared remote sensing images. Infrared Physics & Technology, Aug. 2018, 92, pp. 183-189.

  • Sen Lei, Zhengxia Zou, Dunge Liu, Zhenghuan Xia, Zhenwei Shi. Sea-land segmentation for infrared remote sensing images based on superpixels and multi-scale features. Infrared Physics & Technology, Jun. 2018, 91, pp. 12-17.

  • Tianyang Shi, Zhengxia Zou, Zhenwei Shi, Jialan Chu, Jianhua Zhao, Ning Gao, Ning Zhang, Xinzhong Zhu. Mudflat aquaculture abeling for infrared remote sensing images via a scanning convolutional network. Infrared Physics & Technology, Nov. 2018, 94, pp. 16-22.

  • Shuo Yang, Ziyang Song, Hongyi Yuan, Zhengxia Zou, Zhenwei Shi. Fast high-order matched filter for hyperspectral image target detection. Infrared Physics & Technology, Nov. 2018, 94, pp. 151-155.

  • Zhenwei Shi and Zhengxia Zou* (corresponding author). Can a Machine Generate Human-like Language Descriptions for a Remote Sensing Image? IEEE Transactions on Geoscience and Remote Sensing. 55(6), pp. 3623-3634, 2017.

  • Sen Lei, Zhenwei Shi, Zhengxia Zou. Super-resolution for Remote Sensing Images via Local–global Combined Network. IEEE Geoscience and Remote Sensing Letters, 14(8), pp. 1243-1247, 2017.

  • Haoning Lin, Zhenwei Shi, Zhengxia Zou. Fully convolutional network with task partitioning for inshore ship detection in optical remote sensing images. IEEE Geoscience and Remote Sensing Letters, Oct. 14(10), 2017, pp. 1665-1669.

  • Haoning Lin, Zhenwei Shi, Zhengxia Zou. Maritime semantic labeling of optical remote sensing images with multi-scale fully convolutional network. Remote Sensing, 2017, 9(5), 480.

  • Haibo Wang, Zhengxia Zou, Zhenwei Shi, Bo Li. Detecting ship targets in spaceborne infrared image based on modeling radiation anomalies. Infrared Physics & Technology, Sep. 2017, 85, pp. 141-146.

  • Zhengxia Zou and Zhenwei Shi. Ship Detection in Spaceborne Optical Image with SVD Networks. IEEE Transactions on Geoscience and Remote Sensing. 54(10), pp. 5832-5845, 2016.

  • Zhengxia Zou and Zhenwei Shi. Hierarchical Suppression Method for Hyperspectral Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 54(1), pp. 330-342, 2016.

  • Zhenwei Shi, Zhengxia Zou, and Changshui Zhang. Real-Time Traffic Light Detection with Adaptive Background Suppression Filter. IEEE Transactions on Intelligent Transportation Systems. 17(3), Mar. 2016, pp. 690-700.

  • Zhengxia Zou, Zhenwei Shi, Jun Wu, Hongqiang Wang. Quadratic constrained energy minimization for hyperspectral target detection. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), 2015.

Teaching and Academic Activities

Teaching
  • Fundamentals of Mathematics for Machine Learning, undergraduate course, 2023/2024 Spring, 48/48 Hours.
  • Pattern Recognition, undergraduate course, 2023/2024 Spring, 16/ 48 Hours.
  • Principles of Intelligent Detection and Control in Aerospace, undergraduate course, 2022/2023 Fall, 16/48 Hours.
  • Intelligent Perception Micro-Class, 2024 Spring, 16/16 Hours.
  • Theoretical and Frontier Research in Intelligent Information Processing, Ph.D. Course, 2024 Fall, 10/32 Hours.
  • Deep Learning for Remote Sensing Image Processing, International Students (English), 2023 Fall, 16/16 Hours.
Academic Service
  • Senior Member, IEEE (2024-Present).
  • Member, IEEE Geoscience and Remote Sensing Society (2024-Present).
  • Member, IEEE Signal Processing Society (2024-Present).
  • Secretary-General, Publicity Working Committee, China Society of Image and Graphics (2022-Present).
  • Committee Member, Remote Sensing Image Professional Committee, China Society of Image and Graphics (2023-Present).
  • Academic Advisor, NetEase Fuxi AI Lab (2019-2021).
Editor Service
  • Associate Editor, IEEE Transactions on Image Processing (2024-Now).
  • Communications Engineering (Nature) Special Issue: "Technologies for Augmented and Virtual Reality". Deadline for manuscript submissions: 21 Jun 2024.
  • Executive Editor, Special Issue on Intelligent Remote Sensing Applications, Journal of Space Science and Technology.
  • Editorial Board Member, Journal of Computer Graphics.
  • Remote Sensing, Special Issue: "Pattern Recognition and Image Processing for Remote Sensing II". Guest Editor. Closed.
  • Remote Sensing, Special Issue: "Advanced Learning Techniques for Remote Sensing Image Quality Improvement". Guest Editor. Closed.
  • Remote Sensing, Special Issue: "Computational Intelligence and Advanced Learning Techniques in Remote Sensing". Guest Editor. Closed.
Journal Review Service
  • IEEE Transactions on Pattern Analysis and Machine Intelligence.
  • IEEE Transactions on Image Processing.
  • IEEE Signal Processing Magazine.
  • IEEE Transactions on Geoscience and Remote Sensing.
  • IEEE Transactions on Circuits and Systems for Video Technology.
  • IEEE Transactions on Intelligent Vehicles.
  • Transportation Research Part C.
  • ISPRS Journal of Photogrammetry and Remote Sensing.
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
  • IEEE Geoscience and Remote Sensing Letters.
  • Remote Sensing.
  • International Journal of Remote Sensing.
  • GIScience & Remote Sensing.
  • Information Fusion.
  • IEEE Signal Processing Letters.
  • Infrared Physics & Technology.
  • Electronics.
  • Journal of Computational Methods in Sciences and Engineering.
  • Journal of Marine Science and Technology.
  • Computational Intelligence and Neuroscience.
  • Journal of Spectroscopy.
  • International Journal of Machine Learning and Cybernetics.
  • Journal of Space Science and Technology.
  • Journal of Computer Graphics.
Conference Review Service
  • Conference on Neural Information Processing Systems (NeurIPS) 2019/2020, PC Member.
  • International Joint Conference on Artificial Intelligence (IJCAI) 2021, Senior Program Committee (SPC).
  • The International Conference on Learning Representations (ICLR) 2021, Reviewer.
  • AAAI Conference on Artificial Intelligence (AAAI) 2020/2021, PC Member.
  • IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2020/2021/2022/2023, Reviewer.
  • IEEE International Conference on Computer Vision (ICCV), 2021/2023, Reviewer.
  • Asian Conference on Computer Vision, 2020, Reviewer.
  • Winter Conference on Applications of Computer Vision (WACV) 2021, Reviewer.
Invited Talk
  • 2024-09. Generative Remote Sensing Foundation Models. The 1st Conference on Aerospace Information Technology of China (Optical Remote Sensing Information Subforum).
  • 2024-09. Remote Sensing Target Detection Algorithms Based on Mixed Reality Enhancement. The 1st Conference on Aerospace Information Technology of China (Youth Report Session).
  • 2024-07. Generative Remote Sensing Foundation Models. Inner Mongolia University Artificial Intelligence Forum.
  • 2024-07. Generative Remote Sensing Foundation Models. Journal of Remote Sensing Young Scientists Salon.
  • 2024-05. Generative Remote Sensing Foundation Models. CCIG 2024.
  • 2024-04. Perception and Simulation Based on Mixed Reality. VALSE Webinar.
  • 2024-02. Introduction to Perception and Countermeasures in Unmanned Systems. Beijing Institute of Environmental Features, CASIC.
  • 2023.12. Physics-Driven Remote Sensing Image Synthesis and Interpretation. CSIG Youth Scientist Conference 2023.
  • 2023-07. Advances in Intelligent Perception and Generation. Institute of Computing Technology, Chinese Academy of Sciences.
  • 2023-06. Physics-Driven Remote Sensing Image Synthesis and Interpretation. VALSE 2023.
  • 2023-04. Current Status and Development Trends of Intelligent Remote Sensing Technology. State Grid Corporation of China.
  • 2023-02. Perception and Mixed Reality for Unmanned Systems. Kwai.
  • 2022-10. Deep Learning: History, Methodology, and Applications. North China University of Technology.
  • 2022-10. Perception and Mixed Reality for Unmanned Systems. HIT-Webinar.
  • 2022-10. Mixed Reality and Neural Rendering for Visual Perception. ByteDance.
  • 2022-01. Neural Rendering for Visual Perception. OPPO Research Institute.
  • 2021-12. Neural Rendering for Visual Perception. NIO Autonomous Driving Division.
  • 2021-12. Neural Rendering for Visual Perception. Didi Chuxing.
  • 2021-06. Stylized Neural Painting. TechBeat AI Talk.
  • 2020-12. Art-centric Neural Rendering and Augmented Reality. University of Texas, Austin.
  • 2020-12. Neural Rendering for Visual Editing and Visual Arts. Ocean University of China.
  • 2020-01. Introduction to Deep Learning and Computer Vision - Past, Present, and Future. University of Michigan, Ann Arbor, M-Culture Salon.
  • 2019-07. Object Detection in 20 Years. Didi AI Labs.
  • 2019-07: Adversarial Training for Solving Inverse Problems. Didi AI Labs.


Copyright (C) 2024 By Zhengxia Zou.