Li Ding

Li Ding

University of Rochester

H-index: 8

North America-United States

About Li Ding

Li Ding, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Rochester, specializes in the field of Computer Vision, Digital Image Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deepmapping2: Self-supervised large-scale lidar map optimization

Self-supervised visual place recognition by mining temporal and feature neighborhoods

Combining feature correspondence with parametric chamfer alignment: hybrid two-stage registration for ultra-widefield retinal images

Deep Weakly Supervised Positioning

Deep Weakly Supervised Positioning for Indoor Mobile Robots

Weakly-supervised vessel detection in ultra-widefield fundus photography via iterative multi-modal registration and learning

Automated vessel density detection in fluorescein angiography images correlates with vision in proliferative diabetic retinopathy

A novel deep learning pipeline for retinal vessel detection in fluorescein angiography

Li Ding Information

University

Position

Department of Electrical and Computer Engineering

Citations(all)

496

Citations(since 2020)

471

Cited By

143

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

University of Rochester

Google Scholar

View Google Scholar Profile

Li Ding Skills & Research Interests

Computer Vision

Digital Image Processing

Machine Learning

Top articles of Li Ding

Title

Journal

Author(s)

Publication Date

Deepmapping2: Self-supervised large-scale lidar map optimization

Chao Chen

Xinhao Liu

Yiming Li

Li Ding

Chen Feng

2023

Self-supervised visual place recognition by mining temporal and feature neighborhoods

arXiv preprint arXiv:2208.09315

Chao Chen

Xinhao Liu

Xuchu Xu

Yiming Li

Li Ding

...

2022/8/19

Combining feature correspondence with parametric chamfer alignment: hybrid two-stage registration for ultra-widefield retinal images

IEEE Transactions on Biomedical Engineering

Li Ding

Tony D Kang

Ajay E Kuriyan

Rajeev S Ramchandran

Charles C Wykoff

...

2022/8/4

Deep Weakly Supervised Positioning

arXiv preprint arXiv:2104.04866

Ruoyu Wang

Xuchu Xu

Li Ding

Yang Huang

Chen Feng

2021/4/10

Deep Weakly Supervised Positioning for Indoor Mobile Robots

IEEE Robotics and Automation Letters

Ruoyu Wang

Xuchu Xu

Li Ding

Yang Huang

Chen Feng

2021/12/24

Weakly-supervised vessel detection in ultra-widefield fundus photography via iterative multi-modal registration and learning

IEEE Transactions on Medical Imaging

Li Ding

Ajay E Kuriyan

Rajeev S Ramchandran

Charles C Wykoff

Gaurav Sharma

2020/9/29

Automated vessel density detection in fluorescein angiography images correlates with vision in proliferative diabetic retinopathy

PLoS One

Mohammad H Bawany

Li Ding

Rajeev S Ramchandran

Gaurav Sharma

Charles C Wykoff

...

2020/9/11

A novel deep learning pipeline for retinal vessel detection in fluorescein angiography

IEEE Transactions on Image Processing

Li Ding

Mohammad H Bawany

Ajay E Kuriyan

Rajeev S Ramchandran

Charles C Wykoff

...

2020/5/8

See List of Professors in Li Ding University(University of Rochester)

Co-Authors

H-index: 69
Gaurav Sharma

Gaurav Sharma

University of Rochester

H-index: 34
Chen Feng (冯晨)

Chen Feng (冯晨)

New York University

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