Danpei Zhao
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Danpei Zhao

ZHAO Danpei

Associate Professor, School of Astronautics, Beihang University

Email: zhaodanpei@buaa.edu.cn Official Website

Biography

Dr. Zhao is an Associate Professor and a Ph.D. Supervisor at the Department of Aerospace Information Engineering, Beihang University.

From 2014 to 2015, Dr. Zhao was working at the Department of Computer Science, Rutgers, The State University of New Jersey, USA, as a Visiting Scholar.

Research Area

  • Computer Vision and Machine intelligence
  • Remote sensing image interpretation
  • Lightweight deep learning model
  • Emboddied AI

Lab

AIRVIC Laboratory is dedicated to advancing fundamental and applied research in machine intelligence, computer vision, remote sensing image processing, space object detection and emboddied AI. Our vision is to push the boundaries of multimodal perception for autonomous systems and Earth observation.

Our research area includes:

  1. Automatic detection and recognition of objects in remote sensing images.
  2. Advancement of space-based image information processing technologies.
  3. High-speed embedded systems for real-time image processing.

We accept applications for postdoctoral, full-time Ph.D., and master’s positions throughout the year. Please submit your resume to my email address.

Recent News

  • [2025.08] One paper accepted to IEEE TGRS.
  • [2025.03] One paper accepted to IEEE TGRS.
  • [2025.01] One paper accepted to IEEE TGRS.
  • [2024.10] One paper accepted to ACMMM 2024.
  • [2024.08] One paper accepted to IEEE TPAMI.
  • [2024.05] One paper accepted to IEEE TPAMI.
  • [2024.04] Two papers accepted to IEEE TGRS.
  • [2023.10] Our SurveyCSS project was released here.

Selected Publications

Full Publication List

2026

Evoloving Without Ending: Unifying Multimodal Incremental Learning for Continual Panoptic Perception - 2026
Bo Yuan, Danpei Zhao, Wentao Li, Tian Li, Zhiguo Jiang

2025

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)

Book

Visual C++ digital image processing