10 citations · 12 across the 3 of their papers we have counts for
3 papers
eess.IV2021
Edge, Structure and Texture Refinement for Retrospective High Quality MRI Restoration using Deep Learning
Hao Li, Jianan Liu
22. Shortening acquisition time and reducing the motion-artifact are two of the most critical issues in MRI. As a promising solution, high-quality MRI image restoration provides a…
eess.IV2021★ 10 cited
Robust Representation Learning with Feedback for Single Image Deraining
Chenghao Chen, Hao Li
A deraining network can be interpreted as a conditional generator that aims at removing rain streaks from image. Most existing image deraining methods ignore model errors caused by…
cs.CV2019★ 2 cited
HPILN: A feature learning framework for cross-modality person re-identification
Jian-Wu Lin, Hao Li
Most video surveillance systems use both RGB and infrared cameras, making it a vital technique to re-identify a person cross the RGB and infrared modalities. This task can be chall…