1 citations · 1 across the 7 of their papers we have counts for
9 papers
Rethinking Camouflage Image Generation towards a Training-Free Paradigm
Haodong Yang, Zhongling Huang, Gong Cheng
Camouflage image generation (CIG) aims to synthesize realistic camouflaged images by blending foreground objects into concealment-compatible background contexts. Achieving this obj…
IrisNet: Infrared Image Status Awareness Meta Decoder for Infrared Small Targets Detection
Xuelin Qian, Jiaming Lu, Zixuan Wang +4
Infrared Small Target Detection (IRSTD) faces significant challenges due to low signal-to-noise ratios, complex backgrounds, and the absence of discernible target features. While d…
Dual-Granularity Semantic Prompting for Language Guidance Infrared Small Target Detection
Zixuan Wang, Haoran Sun, Jiaming Lu +5
Infrared small target detection remains challenging due to limited feature representation and severe background interference, resulting in sub-optimal performance. While recent CLI…
Knowledge-Informed Neural Network for Complex-Valued SAR Image Recognition
Haodong Yang, Zhongling Huang, Shaojie Guo +3
Deep learning models for complex-valued Synthetic Aperture Radar (CV-SAR) image recognition are fundamentally constrained by a representation trilemma under data-limited and domain…
-GAN: Physics-Inspired GAN for Generating SAR Images Under Limited Data
Xidan Zhang, Yihan Zhuang, Qian Guo +5
Approaches for improving generative adversarial networks (GANs) training under a few samples have been explored for natural images. However, these methods have limited effectivenes…
PolSAM: Polarimetric Scattering Mechanism Informed Segment Anything Model
Yuqing Wang, Zhongling Huang, Shuxin Yang +4
PolSAR data presents unique challenges due to its rich and complex characteristics. Existing data representations, such as complex-valued data, polarimetric features, and amplitude…
Physics-Guided Detector for SAR Airplanes
Zhongling Huang, Long Liu, Shuxin Yang +3
The disperse structure distributions (discreteness) and variant scattering characteristics (variability) of SAR airplane targets lead to special challenges of object detection and…
X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images
Zhongling Huang, Yihan Zhuang, Zipei Zhong +3
SAR image simulation has attracted much attention due to its great potential to supplement the scarce training data for deep learning algorithms. Consequently, evaluating the quali…
Physics Inspired Hybrid Attention for SAR Target Recognition
Zhongling Huang, Chong Wu, Xiwen Yao +3
There has been a recent emphasis on integrating physical models and deep neural networks (DNNs) for SAR target recognition, to improve performance and achieve a higher level of phy…