基于全局学习扩展的可见光-红外行人重识别
A person re-identification method for visible-infrared cross-modal settings, recommended by ChinaMM 2025.
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A person re-identification method for visible-infrared cross-modal settings, recommended by ChinaMM 2025.
A generalized few-shot semantic segmentation method combining contrastive learning and orthogonal decoupling (CCF C), recommended by ChinaMM 2025.
A high-fidelity facial age editing network recommended by CCF CAD/CG 2025.
A few-shot semantic segmentation method based on mutual-guided conditional coupling.
A multi-guided foreground enhancement method for person re-identification, recommended by GDC 2024.
A face editing method based on semantic disentanglement and feature fusion, nominated for the ChinaMM 2024 Best Paper/Student Paper award and recommended by the conference.
An asymmetric dual-stream lightweight network for RGB-D salient object detection, recommended by CCF CAD/CG 2024.
A digital elevation model generation framework constrained by feature lines and elevation ranges.