September 2026

Source-Free Domain Adaptation (SFDA) offers a practical solution for deploying LiDAR point cloud segmentation models in new environments where source data cannot be accessed due to privacy constraints

Score-based Generative Models (SGMs) have achieved remarkable success in generation tasks by establishing a diffusion process that gradually perturbs real data into Gaussian noise and then learning a

Medical hyperspectral images (MHSIs) are highly promising for assisting with pathological diagnoses because of their rich spatial and spectral information. However, the existing methods inadequately m

AI-generated image quality assessment (AIGIQA) requires jointly reasoning about perceptual fidelity and prompt alignment, two quality dimensions that are often treated as independent in existing AIGIQ

Few-shot defect segmentation (FSDS) has emerged as an effective approach to address the challenge of limited annotated samples in industrial quality inspection. However, existing methods often rely on

Accurately identifying priority attention regions in complex driving scenarios is critical yet challenging, due to the coupling of heterogeneous factors such as motion, structured semantics, and human

Multi-phase contrast-enhanced CT (CECT) is widely employed to capture the dynamic enhancement patterns and temporal evolution of organs and lesions. However, acquiring multiple phases increases radiat

Occluded by rain streaks and haze, rainy images suffer from information loss, which necessitates the precise recovery of missing content. However, visually appealing yet spurious image details generat

Hyperspectral image classification (HSIC) has witnessed remarkable progress with the rise of deep learning. Nevertheless, its real-world deployment remains substantially constrained by two fundamental

Organic light-emitting diode (OLED)-based augmented and virtual reality (AR/VR) technologies are becoming increasingly integral to everyday life. However, these devices often face significant challeng