4 papers · 1 filter
TASeg: Text-aware RGB-T Semantic Segmentation based on Fine-tuning Vision Foundation Models
Meng Yu, Te Cui, Qitong Chu +3
Reliable semantic segmentation of open environments is essential for intelligent systems, yet significant problems remain: 1) Existing RGB-T semantic segmentation models mainly rel…
Open-RGBT: Open-vocabulary RGB-T Zero-shot Semantic Segmentation in Open-world Environments
Meng Yu, Luojie Yang, Xunjie He +2
Semantic segmentation is a critical technique for effective scene understanding. Traditional RGB-T semantic segmentation models often struggle to generalize across diverse scenario…
VIFNet: An End-to-end Visible-Infrared Fusion Network for Image Dehazing
Meng Yu, Te Cui, Haoyang Lu +1
Image dehazing poses significant challenges in environmental perception. Recent research mainly focus on deep learning-based methods with single modality, while they may result in…
Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations
Yufeng Yue, Meng Yu, Luojie Yang +1
Image restoration is rather challenging in adverse weather conditions, especially when multiple degradations occur simultaneously. Blind image decomposition was proposed to tackle…