Search Results for author: Haofeng Liu

Found 7 papers, 4 papers with code

A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning

2 code implementations2 Sep 2023 Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hui Shu, Ke Niu, Yan Hu, Jiang Liu

Fundus photography is prone to suffer from image quality degradation that impacts clinical examination performed by ophthalmologists or intelligent systems.

Image Enhancement Representation Learning

Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network

1 code implementation18 Oct 2022 Haofeng Liu, Heng Li, Huazhu Fu, Ruoxiu Xiao, Yunshu Gao, Yan Hu, Jiang Liu

For boosting the clinical deployment of fundus image enhancement, this paper proposes the pyramid constraint to develop a degradation-invariant enhancement network (PCE-Net), which mitigates the demand for clinical data and stably enhances unknown data.

Image Enhancement

Structure-consistent Restoration Network for Cataract Fundus Image Enhancement

3 code implementations9 Jun 2022 Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu

In this paper, to circumvent the strict deployment requirement, a structure-consistent restoration network (SCR-Net) for cataract fundus images is developed from synthesized data that shares an identical structure.

Image Enhancement Medical Image Enhancement

An Annotation-free Restoration Network for Cataractous Fundus Images

2 code implementations15 Mar 2022 Heng Li, Haofeng Liu, Yan Hu, Huazhu Fu, Yitian Zhao, Hanpei Miao, Jiang Liu

The restoration model is learned from the synthesized images and adapted to real cataract images.

A Versatile Agent for Fast Learning from Human Instructors

no code implementations1 Mar 2022 YiWen Chen, Zedong Zhang, Haofeng Liu, Jiayi Tan, Chee-Meng Chew, Marcelo Ang

In recent years, a myriad of superlative works on intelligent robotics policies have been done, thanks to advances in machine learning.

Hierarchical Reinforcement Learning Imitation Learning +1

Improving Learning from Demonstrations by Learning from Experience

no code implementations16 Nov 2021 Haofeng Liu, YiWen Chen, Jiayi Tan, Marcelo H Ang Jr

How to make imitation learning more general when demonstrations are relatively limited has been a persistent problem in reinforcement learning (RL).

Imitation Learning Reinforcement Learning (RL)

A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation

no code implementations21 May 2021 Yinglin Zhang, Risa Higashita, Huazhu Fu, Yanwu Xu, Yang Zhang, Haofeng Liu, Jian Zhang, Jiang Liu

Corneal endothelial cell segmentation plays a vital role inquantifying clinical indicators such as cell density, coefficient of variation, and hexagonality.

Cell Segmentation

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