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Associate Professor, School of Astronautics, Beihang University Email: zhaodanpei@buaa.edu.cn [Official Website] |
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Biography
I am currently an Associate Professor and a Ph.D. Supervisor at the Department of Aerospace Information Engineering, Beihang University.
I obtained the Ph.D. degree in optical engineering from Changchun Institute of Optics, Fine Mechanics and Physics, CAS, in 2006. From 2006 to 2008, I was at Beihang University for postdoctoral research. From 2014 to 2015, I was working at the Department of Computer Science, Rutgers, The State University of New Jersey, USA, as a Visiting Scholar. My research interests include saliency detection, target detection and recognition, image understanding, and their application in remote sensing images. I serve as a Standing Member for the Executive Council of Beijing Society of Image and Graphics. I lead the AIRVIC Lab.
I received fundation from the National Natural Science Foundation of China, the “十一五” and “十二五” Pre-research Project, the National 863 Project, the National 973 sub-project, the Air Force Pre-research Project, the National Key Research and Development Project, etc. We have also finished a number of research projects on automatic object detection and recognition of remote sensing images cooperated with space institutes and enterprises. Our achievements have been successfully applied to the lunar rover Yutu, high-resolution earth observation and military application.
Recruitment
AIRVIC Laboratory Abstract: Since 2008, Dr. Zhao has been dedicated to exploring key techniques for detecting and recognizing typical targets in complex backgrounds. Her research interests include pattern recognition, machine intelligence, computer vision, remote sensing image processing, space object detection, and model compression. The specific research directions of the laboratory are as follows:
- Automatic detection and recognition of objects in high-resolution remote sensing images.
- Investigation of visual salience theory and its application in remote sensing.
- Advancement of space-based image information processing technologies.
- Development and utilization of high-speed embedded systems for real-time image processing in space-based applications.
We accept applications for postdoctoral, full-time Ph.D., and master’s positions throughout the year. Please submit your resume to my email address. Before reaching out to us, we kindly request that you take some time to review the papers published by our laboratory in recent years. This will not only help you gain an understanding of our research focus but also enable you to excel during any potential interviews that may follow.
Publications
2025
[Evoloving Without Ending: Unifying Multimodal Incremental Learning for Continual Panoptic Perception] - Under Review
Dual-Stream Spectral Decoupling Distillation for Remote Sensing Object Detection - IEEE Transactions on Geoscience and Remote Sensing, 2025.
Xiangyi Gao, Danpei Zhao, Bo Yuan, Wentao Li
RescueADI: Adaptive Disaster Interpretation in Remote Sensing Images With Autonomous Agents - IEEE Transactions on Geoscience and Remote Sensing, 2025.
Zhuoran Liu, Danpei Zhao*, Bo Yuan, Zhiguo Jiang
Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding - IEEE Transactions on Geoscience and Remote Sensing, 2025.
Junde Liu, Danpei Zhao*, Bo Yuan, Wentao Li, Tian Li
2024
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application. - IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
Bo Yuan, Danpei Zhao*
[Project Page]
Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling - IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
Bo Yuan, Danpei Zhao*, Zhenwei Shi
Continual Panoptic Perception: Towards Multi-modal Incremental Interpretation of Remote Sensing Images - ACMMM 2024.
Bo Yuan, Danpei Zhao*, Zhuoran Liu, Wentao Li, Tian Li
Panoptic Perception: A Novel Task and Fine-grained Dataset for Universal Remote Sensing Image Interpretation - IEEE Transactions on Geoscience and Remote Sensing, 2024
Danpei Zhao, Bo Yuan, Ziqiang Chen, Tian Li, Zhuoran Liu, Wentao Li, and Yue Gao
[Project Page]
See, Perceive and Answer: A Unified Benchmark for High-resolution Post-disaster Evaluation in Remote Sensing Images - IEEE Transactions on Geoscience and Remote Sensing, 2024
Danpei Zhao, Jiankai Lu, Bo Yuan
YOLO-Parallel: Positive Gradient Modeling for Long-Tail Remote Sensing Object Detection - IEEE Geoscience and Remote Sensing Letters, 2024
Xiangyi Gao, Danpei Zhao*, Zhichao Yuan
TopoNAS: Boosting Search Efficiency of Gradient-based NAS via Topological Simplification
Danpei Zhao, Zhuoran Liu, Bo Yuan
2023
PETDet: Proposal Enhancement for Two-Stage Fine-Grained Object Detection.
Wentao Li, Danpei Zhao*, Bo Yuan, Yue Gao, Zhenwei Shi. - IEEE Transactions on Geoscience and Remote Sensing, 2023.
[Code]
Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation without Exemplar Memory.
Danpei Zhao*, Bo Yuan, Zhenwei Shi. - IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
Classification Matters More: Global Instance Contrast for Fine-Grained SAR Aircraft Detection.
Danpei Zhao*, Ziqiang Chen, Yue Gao, Zhenwei Shi - IEEE Transactions on Geoscience and Remote Sensing, 2023
A Hierarchical Decoder Architecture for Multi-level Fine-grained Disaster Detection.
Chenxu Wang, Danpei Zhao*, Xinhu Qi, Zhuoran Liu, Zhenwei Shi - IEEE Transactions on Geoscience and Remote Sensing, 2023
2022
Birds of a Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation.
Bo Yuan, Danpei Zhao*, Shuai Shao, Zehuan Yuan, Changhu Wang. - IEEE Transactions on Image Processing, 2022.
Focal and Global Knowledge Distillation for Detectors.
Zhendong Yang, Zhe Li, Xiaohu Jiang, Yuan Gong, Zehuan Yuan, Danpei Zhao, Chun Yuan - IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2022.
2021
UGCNet: An Unsupervised Semantic Segmentation Network Embedded With Geometry Consistency for Remote-Sensing Images.
Danpei Zhao*, Bo Yuan, Yue Gao, Xinhu Qi, Zhenwei Shi - IEEE Geoscience and Remote Sensing Letters, 2021.
Earlier
Multilevel Cloud Detection in Remote Sensing Images Based on Deep Learning.
Fengying Xie, Mengyun Shi, Zhenwei Shi, Jihao Yin, Danpei Zhao - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017.
Unsupervised Oil Tank Detection by Shape-Guide Saliency Model.
Minhao Jing ,Danpei Zhao*, et al. - IEEE Geoscience and Remote Sensing Letters, 2019.
Multi-resolution Airport Detection via Hierarchical Reinforcement Learning Saliency Model.
Danpei Zhao*, Yuanyuan Ma, Zhiguo Jiang. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.2017.10(6)
Monograph
Visual C++ digital image processing