4 papers
End-to-End Self-Supervised RGB-T Tracking without Modality Misleading
Shenglan Li, Rui Yao, Kunyang Sun +4
RGB-T object tracking leverages the complementary characteristics of visible and thermal infrared modalities to improve robustness under adverse conditions. Existing supervised met…
Content-Adaptive Image Retouching Guided by Attribute-Based Text Representation
Hancheng Zhu, Xinyu Liu, Rui Yao +3
Image retouching has received significant attention due to its ability to achieve high-quality visual content. Existing approaches mainly rely on uniform pixel-wise color mapping a…
DTTNet: Improving Video Shadow Detection via Dark-Aware Guidance and Tokenized Temporal Modeling
Zhicheng Li, Kunyang Sun, Rui Yao +5
Video shadow detection confronts two entwined difficulties: distinguishing shadows from complex backgrounds and modeling dynamic shadow deformations under varying illumination. To…
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking
Shenglan Li, Rui Yao, Yong Zhou +5
To reduce the reliance on large-scale annotations, self-supervised RGB-T tracking approaches have garnered significant attention. However, the omission of the object region by erro…