📝 Selected Publications
🎙 Large Vision Language Models

AirSpatialBot: A Spatially-Aware Aerial Agent for Fine-Grained Vehicle Attribute Recognization and Retrieval
Yue Zhou, Ran Ding, Xue Yang, Xue Jiang, Xingzhao Liu
-
The first remote sensing large vision language model with 3D visual grounding capability.
-
Project |

GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding
Yue Zhou, Mengcheng Lan, Xiang Li, Litong Feng, Yiping Ke, Xue Jiang, Qingyun Li, Xue Yang, Wayne Zhang
- Project |
IGARSS 2025
AirAgent: An assistant for zero-shot fine-grained target attribute recognition in aerial imagery, Ran Ding, Yue Zhou, et al.ICLR 2025
Text4Seg: Reimagining Image Segmentation as Text Generation, Mengcheng Lan, Chaofeng Chen, Yue Zhou, et al.arXiv 2024
Towards Vision-Language Geo-Foundation Model: A Survey, Yue Zhou, Litong Feng, et al.
📚 Adversarial attack

DGA: Direction-Guided Attack Against Optical Aerial Detection in Camera Shooting Direction-Agnostic Scenarios
Yue Zhou, Shuqi Sun, et al.
-
The first direction-guided attack against aerial detectors.
-
Project |
RS 2023
CamoNet: A Target Camouflage Network for Remote Sensing Images Based on Adversarial Attack, Yue Zhou, Wanghan Jiang, et al.IGARSS 2023
Adversarial Example Generation Method for Object Detection in Remote Sensing Images, Wanghan Jiang, Yue Zhou, et al.
⚽️ Rotated Object Detection

MMRotate: A rotated object detection benchmark using pytorch
Yue Zhou, Xue Yang, et al. (Oral)
-
A unified rotated object detection toolbox and benchmark.
-
Project |
ICASSP 2024
AlphaRotate: A Rotation Detection Benchmark using TensorFlow, Xue Yang, Yue Zhou, et al.ICLR 2023
The KFIoU loss for rotated object detection, Xue Yang, Yue Zhou, et al. ProjectNeurIPS 2023
H2rbox-v2: Boosting hbox-supervised oriented object detection via symmetric learning, Yi Yu, Xue Yang, Qingyun Li, Yue Zhou, et al. ProjectICLR 2023
The KFIoU loss for rotated object detection, Xue Yang, Yue Zhou, et al. ProjectICLR 2023
H2RBox: Horizonal box annotation is all you need for oriented object detection, Xue Yang, Gefan Zhang, Wentong Li, Xuehui Wang, Yue Zhou, et al. ProjectJSTARS 2023
A semi-supervised arbitrary-oriented SAR ship detection network based on interference consistency learning and pseudo label calibration, Yue Zhou, Xue Jiang, et al.TPAMI 2022
Detecting rotated objects as gaussian distributions and its 3-d generalization, Xue Yang, Gefan Zhang, Xiaojiang Yang, Yue Zhou, et al.arXiv 2022
Rtmdet: An empirical study of designing real-time object detectors, Chengqi Lyu, Wenwei Zhang, Haian Huang, Yue Zhou, et al. ProjectJSTARS 2022
PVT-SAR: An arbitrarily oriented SAR ship detector with pyramid vision transformer, Yue Zhou, Xue Jiang, et al.IGARSS 2022
Benchmark for Arbitrary-Oriented SAR Ship Detection, Yue Zhou, Xue Jiang, et al.IGARSS 2021
Arbitrary-oriented SAR ship detection via frequency learning, Yue Zhou, Xue Jiang, et al. (Oral)CVPR 2020
Dense label encoding for boundary discontinuity free rotation detection, Xue Yang, Liping Hou, Yue Zhou, et al.
🚢 SAR Automatic Target Recognition
TIM 2025
Integrating Local and Global Features via CNN and Mamba for Semi-Supervised Change Detection, Ze Zhang, Yue Zhou, et al.GRSL 2023
GRD: An ultra-lightweight SAR ship detector based on global relationship distillation, Yue Zhou, Xue Jiang, et al.RS 2021
SAR ship detection dataset (SSDD): Official release and comprehensive data analysis, Tianwen Zhang, Xiaoling Zhang, Jianwei Li, Xiaowo Xu, Baoyou Wang, Xu Zhan, Yanqin Xu, Xiao Ke, Tianjiao Zeng, Hao Su, Israr Ahmad, Dece Pan, Chang Liu, Yue Zhou, et al. (Best Paper)GARSS 2020
SAR Target Classification with Limited Data via Data Driven Active Learning, Yue Zhou, Xue Jiang, et al.RS 2020
LS-SSDD-v1. 0: A deep learning dataset dedicated to small ship detection from large-scale Sentinel-1 SAR images, Tianwen Zhang, Xiaoling Zhang, Xiao Ke, Xu Zhan, Jun Shi, Shunjun Wei, Dece Pan, Jianwei Li, Hao Su, Yue Zhou, et al.GARSS 2020
Convolutional neural network-based dictionary learning for SAR target recognition, L Tao, Yue Zhou, et al.