5 papers
Efficient RGB-T Object Detection via Sparse Cross-Modality Fusion
Chao Tian, Zikun Zhou, Chao Yang +2
RGB-T detectors leverage the complementary strengths of visible and thermal infrared modalities, achieving robust performance under challenging conditions. Many of them resort to h…
Fusing in 3D: Free-Viewpoint Fusion Rendering with a 3D Infrared-Visible Scene Representation
Chao Yang, Deshui Miao, Chao Tian +3
Infrared-visible image fusion aims to integrate infrared and visible information into a single fused image. Existing 2D fusion methods focus on fusing images from fixed camera view…
Modality-Decoupled RGB-Thermal Object Detector via Query Fusion
Chao Tian, Zikun Zhou, Chao Yang +3
The advantage of RGB-Thermal (RGB-T) detection lies in its ability to perform modality fusion and integrate cross-modality complementary information, enabling robust detection unde…
FusionFM: All-in-One Multi-Modal Image Fusion with Flow Matching
Huayi Zhu, Xiu Shu, Youqiang Xiong +5
Current multi-modal image fusion methods typically rely on task-specific models, leading to high training costs and limited scalability. While generative methods provide a unified…
Learning A Robust RGB-Thermal Detector for Extreme Modality Imbalance
Chao Tian, Chao Yang, Guoqing Zhu +2
RGB-Thermal (RGB-T) object detection utilizes thermal infrared (TIR) images to complement RGB data, improving robustness in challenging conditions. Traditional RGB-T detectors assu…