8 citations · 8 across the 5 of their papers we have counts for
5 papers · 1 filter
Enhancing Unregistered Hyperspectral Image Super-Resolution via Unmixing-based Abundance Fusion Learning
Yingkai Zhang, Tao Zhang, Jing Nie +1
Unregistered hyperspectral image (HSI) super-resolution (SR) typically aims to enhance a low-resolution HSI using an unregistered high-resolution reference image. In this paper, we…
Supervise-assisted Multi-modality Fusion Diffusion Model for PET Restoration
Yingkai Zhang, Shuang Chen, Ye Tian +3
Positron emission tomography (PET) offers powerful functional imaging but involves radiation exposure. Efforts to reduce this exposure by lowering the radiotracer dose or scan time…
Real Noise Decoupling for Hyperspectral Image Denoising
Yingkai Zhang, Tao Zhang, Jing Nie +1
Hyperspectral image (HSI) denoising is a crucial step in enhancing the quality of HSIs. Noise modeling methods can fit noise distributions to generate synthetic HSIs to train denoi…
Unaligned RGB Guided Hyperspectral Image Super-Resolution with Spatial-Spectral Concordance
Yingkai Zhang, Zeqiang Lai, Tao Zhang +2
Hyperspectral images super-resolution aims to improve the spatial resolution, yet its performance is often limited at high-resolution ratios. The recent adoption of high-resolution…
Technique Report of CVPR 2024 PBDL Challenges
Ying Fu, Yu Li, Shaodi You +96
The intersection of physics-based vision and deep learning presents an exciting frontier for advancing computer vision technologies. By leveraging the principles of physics to info…