Jingtao Li  李静涛

 

Ph.D. Candidate

Email: jingtaoli@whu.edu.cn; jingtaoli-cver@outlook.com

Wuhan University | 武汉大学
State Key Laboratory of Information Engineering in Surveving, Mapping and Remote Sensing (LIESMARS) | 武汉大学测绘遥感信息工程国家重点实验室

 
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Biography

I am currently a PhD student at Wuhan University, supervised by Prof. Yanfei Zhong , Liangpei Zhang and Assoc. Prof. Xinyu Wang. My research interest is in Earth Vison Interpreting, especially anomaly detection technique for remote sensing imagery. My research goal is to build insightful and practical technologies for efficient anomaly detection, protecting the environment and social security for human. My research taste likes zero-shot and open-world settings.

News

Experience

Selected Publications


 

AnomalyCD: A benchmark for Earth Anomaly Change Detection with High-resolution and Time-series Observations

Jingtao Li, Qian Zhu, Xinyu Wang, Hengwei Zhao, Yanfei Zhong
Arxiv, 2024
[PDF] [Code]


 

Learning a Cross-Modality Anomaly Detector for Remote Sensing Imagery

Jingtao Li, Xinyu Wang, Hengwei Zhao, Yanfei Zhong
IEEE Transactions on Image Processing (IEEE TIP), 2024
(SCI Q1 TOP, IF=)
[PDF] [Code] [Project]


 

One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning

Jingtao Li, Xinyu Wang, Shaoyu Wang, Hengwei Zhao, Yanfei Zhong
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2024
(SCI Q1 TOP, IF=)
[PDF] [Code] [Project]

 

Segmenting Remote Sensing Anomalies at Instance Level via Anomaly Map-Guided Adaptation

Jingtao Li, Yanfei Zhong, Hengwei Zhao, Zhi Gao, Xinyu Wang
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2024
(SCI Q1 TOP, IF=)
[PDF] [Project]

 

Detecting Pine Wilt Disease at the Pixel Level from High Spatial and Spectral Resolution UAV-borne Imagery in Complex Forest Landscapes using Deep One-class Classification

Jingtao Li, Xinyu Wang, Hengwei Zhao, Xin Hu, Yanfei Zhong
International Journal of Applied Earth Observation and Geoinformation (JAG), 2024
(SCI Q1 TOP, IF=)
[PDF]

 

Adapting the Segment Anything Model for Multi-modal Retinal Anomaly Detection and Localization

Jingtao Li, Ting Chen, Xinyu Wang, Yanfei Zhong, Xuan Xiao
Information Fusion (INFFUS), 2025
(SCI Q1 TOP, IF=)
[PDF]

 

Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors

Jingtao Li, Xinyu Wang, Hengwei Zhao, Shaoyu Wang, Yanfei Zhong
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023
(CCF-A)
[PDF] [Code]

 

Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery

Hengwei Zhao, Xinyu Wang, Jingtao Li, Yanfei Zhong
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
(CCF-A)
[PDF] [Code]

 

PU-KBS: A Robust Positive and Unlabeled Learning Framework With Key Band Selection for One-Class Hyperspectral Image Classification

Ziying Liu, Hengwei Zhao, Xinyu Wang, Shaoyu Wang, Jingtao Li, Yanfei Zhong
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2024
(SCI Q1 TOP, IF=)
[PDF]

Awards and Honors

Invited Talks

Services

Peer Review: