Search results

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Ground-based observations are often degraded by the combined effects of spatially non-uniform, strong stray-light contamination and noise. High-fidelity restoration of ground-based star images is a pr

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Mamba, a global context modeling paradigm with a selective scanning mechanism, has recently attracted increasing attention in multimodal image fusion. Multimodal fusion aims to preserve and enhance cr

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Diffusion models have shown promising results in free-form inpainting. Recent studies based on refined diffusion samplers or novel architectural designs have produced realistic results with improved c

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Text-rich scene image super-resolution (TS-ISR) aims to recover high-quality images with legible text from degraded inputs, benefiting mobile photography and enhancing visual inputs for multimodal und

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Autonomous driving has made significant progress in both academia and industry, including performance improvements in perception tasks and the development of end-to-end autonomous driving systems. How

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Few-shot semantic segmentation has attracted growing interest for its ability to generalize to novel object categories using only a few annotated samples. To address data scarcity, recent methods inco

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

While diffusion-based models have shown remarkable generative capabilities in static settings, their extension to continual learning (CL) scenarios remains fundamentally constrained by Generative Cata

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Predicting the physical properties of reconstructed 3D assets is essential for virtual reality interactions. However, current systems often depend on manually assigning properties such as stiffness an

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

As a distributed machine learning paradigm, federated learning enables collaborative training among multiple clients while preserving data privacy. However, in practical applications, it faces the cha

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Recent advances in pre-trained vision-language models have demonstrated remarkable zero-shot generalization capabilities. To further enhance these models’ adaptability to various downstream tasks, pro