6 papers
Physics-Constrained Cross-Resolution Enhancement Network for Optics-Guided Thermal UAV Image Super-Resolution
Zhicheng Zhao, Fengjiao Peng, Jinquan Yan +3
Optics-guided thermal UAV image super-resolution has attracted significant research interest due to its potential in all-weather monitoring applications. However, existing methods…
Learning Where to Focus: Density-Driven Guidance for Detecting Dense Tiny Objects
Zhicheng Zhao, Xuanang Fan, Lingma Sun +2
High-resolution remote sensing imagery increasingly contains dense clusters of tiny objects, the detection of which is extremely challenging due to severe mutual occlusion and limi…
Towards Robust Optical-SAR Object Detection under Missing Modalities: A Dynamic Quality-Aware Fusion Framework
Zhicheng Zhao, Yuancheng Xu, Andong Lu +2
Optical and Synthetic Aperture Radar (SAR) fusion-based object detection has attracted significant research interest in remote sensing, as these modalities provide complementary in…
Bridging the Scale Gap: Balanced Tiny and General Object Detection in Remote Sensing Imagery
Zhicheng Zhao, Yin Huang, Lingma Sun +2
Tiny object detection in remote sensing imagery has attracted significant research interest in recent years. Despite recent progress, achieving balanced detection performance acros…
Federated Client-tailored Adapter for Medical Image Segmentation
Guyue Hu, Siyuan Song, Yukun Kang +4
Medical image segmentation in X-ray images is beneficial for computer-aided diagnosis and lesion localization. Existing methods mainly fall into a centralized learning paradigm, wh…
Decoupled Cross-Modal Alignment Network for Text-RGBT Person Retrieval and A High-Quality Benchmark
Yifei Deng, Chenglong Li, Zhenyu Chen +2
The performance of traditional text-image person retrieval task is easily affected by lighting variations due to imaging limitations of visible spectrum sensors. In recent years, c…