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Li Ding
Li Ding
Department of Electrical and Computer Engineering, University of Rochester
Verified email at rochester.edu - Homepage
Title
Cited by
Cited by
Year
Hazerd: an outdoor scene dataset and benchmark for single image dehazing
Y Zhang, L Ding, G Sharma
2017 IEEE international conference on image processing (ICIP), 3205-3209, 2017
2532017
DeepMapping: Unsupervised map estimation from multiple point clouds
L Ding, C Feng
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
762019
A novel deep learning pipeline for retinal vessel detection in fluorescein angiography
L Ding, MH Bawany, AE Kuriyan, RS Ramchandran, CC Wykoff, ...
IEEE Transactions on Image Processing 29, 6561-6573, 2020
512020
Weakly-supervised vessel detection in ultra-widefield fundus photography via iterative multi-modal registration and learning
L Ding, AE Kuriyan, RS Ramchandran, CC Wykoff, G Sharma
IEEE Transactions on Medical Imaging 40 (10), 2748-2758, 2020
362020
Fusing structure from motion and lidar for dense accurate depth map estimation
L Ding, G Sharma
2017 IEEE international conference on acoustics, speech and signal …, 2017
312017
Multi-scale morphological analysis for retinal vessel detection in wide-field fluorescein angiography
L Ding, A Kuriyan, R Ramchandran, G Sharma
2017 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), 1-5, 2017
152017
Deepmapping2: Self-supervised large-scale lidar map optimization
C Chen, X Liu, Y Li, L Ding, C Feng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
102023
MIT DriveSeg (manual) dataset
L Ding, J Terwilliger, R Sherony, B Reimer, L Fridman
IEEE Dataport, doi 10, 2020
102020
Automated vessel density detection in fluorescein angiography images correlates with vision in proliferative diabetic retinopathy
MH Bawany, L Ding, RS Ramchandran, G Sharma, CC Wykoff, ...
PLoS One 15 (9), e0238958, 2020
92020
Retinal vessel detection in wide-field fluorescein angiography with deep neural networks: A novel training data generation approach
L Ding, A Kuriyan, R Ramchandran, G Sharma
2018 25th IEEE International Conference on Image Processing (ICIP), 356-360, 2018
82018
Local-linear-fitting-based matting for joint hole filling and depth upsampling of RGB-D images
Y Zhang, L Ding, G Sharma
Journal of Electronic Imaging 28 (3), 033019-033019, 2019
72019
Self-supervised visual place recognition by mining temporal and feature neighborhoods
C Chen, X Liu, X Xu, Y Li, L Ding, R Wang, C Feng
arXiv preprint arXiv:2208.09315, 2022
62022
Combining feature correspondence with parametric chamfer alignment: hybrid two-stage registration for ultra-widefield retinal images
L Ding, TD Kang, AE Kuriyan, RS Ramchandran, CC Wykoff, G Sharma
IEEE Transactions on Biomedical Engineering 70 (2), 523-532, 2022
62022
Quantification of longitudinal changes in retinal vasculature from wide-field fluorescein angiography via a novel registration and change detection approach
L Ding, A Kuriyan, R Ramchandran, G Sharma
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
62018
Comparative analysis of homologous buildings using range imaging
L Ding, A Elliethy, E Freedenberg, SA Wolf-Johnson, J Romphf, ...
2016 IEEE International Conference on Image Processing (ICIP), 4378-4382, 2016
62016
FLoRI21: Fluorescein angiography longitudinal retinal image registration dataset
L Ding, T Kang, A Kuriyan
IEEE Dataport, 2021
42021
RECOVERY-FA19: Ultra-widefield fluorescein angiography vessel detection dataset
L Ding, MH Bawany, AE Kuriyan, RS Ramchandran, CC Wykoff, ...
IEEE Dataport, 2019
32019
A local-linear-fitting-based matting approach for accurate depth upsampling
Y Zhang, L Ding, G Sharma
2016 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), 1-5, 2016
32016
Deep Weakly Supervised Positioning for Indoor Mobile Robots
R Wang, X Xu, L Ding, Y Huang, C Feng
IEEE Robotics and Automation Letters 7 (2), 1206-1213, 2021
22021
Automated vessel density detection in fluorescein angiography images correlates with vision in proliferative diabetic retinopathy
R Ramchandran, MH Bawany, L Ding, G Sharma, CC Wykoff, AE Kuriyan
Investigative Ophthalmology & Visual Science 61 (7), 5312-5312, 2020
12020
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