4 papers
Incentive Noise and Structural Prior Infusion for Multi-modal Object Re-Identification
Weixiang Zhou, Yuhao Wang, Xingguo Xu +4
Multi-modal object Re-Identification (ReID) benefits from complementary information across heterogeneous imaging modalities. To further enrich semantic representation, text descrip…
Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal
Wanshu Fan, Yunzhe Zhang, Yue Shen +5
Adverse weather causes diverse and complex image degradations, severely compromising the reliability of computer vision systems. Existing all-in-one restoration models attempt to a…
Multi-Modal Object Re-Identification with Dual Semantic Guidance and Global-Local Mutual Modulation
Weixiang Zhou, Xingguo Xu, Yuhao Wang +4
Multi-modal object Re-Identification (ReID) aims to retrieve target instances by leveraging complementary information across modalities. However, existing methods suffer from two c…
Neural Discrimination-Prompted Transformers for Efficient UHD Image Restoration and Enhancement
Cong Wang, Jinshan Pan, Liyan Wang +2
We propose a simple yet effective UHDPromer, a neural discrimination-prompted Transformer, for Ultra-High-Definition (UHD) image restoration and enhancement. Our UHDPromer is inspi…