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Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Semantic correspondence seeks to establish matches between different instances of the same category. A common paradigm for this task leverages high-quality features from stable diffusion (SD) and DINO

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Image denoising is a long-standing inverse problem in computer vision. Despite recent progress, existing methods still struggle to balance precise feature focusing with structural fidelity under compl

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

Video Corpus Moment Retrieval (VCMR) is pivotal to multimodal understanding. However, existing methods rely heavily on large-scale annotated data, which limits their generalization and scalability. To

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