Xiuhong Lin

Orcid: 0000-0002-6150-4208

According to our database1, Xiuhong Lin authored at least 16 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
DSMNet: Deep High-Precision 3-D Surface Modeling From Sparse Point Cloud Frames.
IEEE Geosci. Remote. Sens. Lett., 2023

E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning.
CoRR, 2023

DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames.
CoRR, 2023

E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
EAGAN: Event-based attention generative adversarial networks for optical flow and depth estimation.
IET Comput. Vis., 2022

DDA-Net: Unsupervised cross-modality medical image segmentation via dual domain adaptation.
Comput. Methods Programs Biomed., 2022

2021
A deep learning model for detection and tracking in high-throughput images of organoid.
Comput. Biol. Medicine, 2021

OrgaNet: A Deep Learning Approach for Automated Evaluation of Organoids Viability in Drug Screening.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

Metric Learning for 2D Image Patch and 3D Point Cloud Volume Matching.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Learning Cross-Domain Descriptors for 2D-3D Matching with Hard Triplet Loss and Spatial Transformer Network.
Proceedings of the Image and Graphics - 11th International Conference, 2021

2020
Learning to Match Ground Camera Image and UAV 3-D Model-Rendered Image Based on Siamese Network With Attention Mechanism.
IEEE Geosci. Remote. Sens. Lett., 2020

Optic disc and optic cup segmentation based on anatomy guided cascade network.
Comput. Methods Programs Biomed., 2020

Learning to Match 2D Images and 3D LiDAR Point Clouds for Outdoor Augmented Reality.
Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2020

2019
AE-GAN-Net: Learning Invariant Feature Descriptor to Match Ground Camera Images and a Large-Scale 3D Image-Based Point Cloud for Outdoor Augmented Reality.
Remote. Sens., 2019

Ground Camera Images and UAV 3D Model Registration for Outdoor Augmented Reality.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019

Unsupervised Optic Disc Segmentation for Cross Domain Fundus Image Based on Structure Consistency Constraint.
Proceedings of the Image and Graphics - 10th International Conference, 2019


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