6 papers
DeTrack: A Benchmark and Altitude-Aware Dual World Model for Drone-embodied Tracking
Guyue Hu, Haoming Liu, Siyuan Song +3
Aerial object tracking has broad applications in public safety, emergency rescue, wildlife monitoring, and related fields. However, existing aerial tracking benchmarks are mainly b…
RefAerial: A Benchmark and Approach for Referring Detection in Aerial Images
Guyue Hu, Hao Song, Yuxing Tong +5
Referring detection refers to locate the target referred by natural languages, which has recently attracted growing research interests. However, existing datasets are limited to gr…
Cross-modal Fuzzy Alignment Network for Text-Aerial Person Retrieval and A Large-scale Benchmark
Yifei Deng, Chenglong Li, Yuyang Zhang +2
Text-aerial person retrieval aims to identify targets in UAV-captured images from eyewitness descriptions, supporting intelligent transportation and public security applications. C…
Structure and Progress Aware Diffusion for Medical Image Segmentation
Siyuan Song, Guyue Hu, Chenglong Li +3
Medical image segmentation is crucial for computer-aided diagnosis, which necessitates understanding both coarse morphological and semantic structures, as well as carving fine boun…
Mix-modal Federated Learning for MRI Image Segmentation
Guyue Hu, Siyuan Song, Jingpeng Sun +3
Magnetic resonance imaging (MRI) image segmentation is crucial in diagnosing and treating many diseases, such as brain tumors. Existing MRI image segmentation methods mainly fall i…
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…