13 papers
T2I-VeRW: Part-level Fine-grained Perception for Text-to-Image Vehicle Retrieval
Xiao Wang, Ziwen Wang, Weizhe Kong +5
Vehicle Re-identification (Re-ID) aims to retrieve the most similar image to a given query from images captured by non-overlapping cameras. Extending vehicle Re-ID from image-only…
UAV traffic scene understanding: A regulation embedded multi-modal network and a unified benchmark
Yu Zhang, Zhicheng Zhao, Ze Luo +2
Traffic scene understanding from unmanned aerial vehicle (UAV) platforms is crucial for intelligent transportation systems due to its flexible deployment and wide-area monitoring 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…
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…
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…
DehazeMamba: SAR-guided Optical Remote Sensing Image Dehazing with Adaptive State Space Model
Zhicheng Zhao, Jinquan Yan, Chenglong Li +2
Optical remote sensing image dehazing presents significant challenges due to its extensive spatial scale and highly non-uniform haze distribution, which traditional single-image de…
Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering
Zhicheng Zhao, Changfu Zhou, Yu Zhang +3
Remote Sensing Visual Question Answering (RSVQA) has gained significant research interest. However, current RSVQA methods are limited by the imaging mechanisms of optical sensors,…
Guidance Disentanglement Network for Optics-Guided Thermal UAV Image Super-Resolution
Zhicheng Zhao, Juanjuan Gu, Chenglong Li +3
Optics-guided Thermal UAV image Super-Resolution (OTUAV-SR) has attracted significant research interest due to its potential applications in security inspection, agricultural measu…
Semantics Guided Disentangled GAN for Chest X-ray Image Rib Segmentation
Lili Huang, Dexin Ma, Xiaowei Zhao +4
The label annotations for chest X-ray image rib segmentation are time consuming and laborious, and the labeling quality heavily relies on medical knowledge of annotators. To reduce…