Shangshu Yu

Orcid: 0000-0002-5000-0979

According to our database1, Shangshu Yu authored at least 10 papers between 2020 and 2023.

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

Timeline

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Links

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Bibliography

2023
Category-Level Adversaries for Outdoor LiDAR Point Clouds Cross-Domain Semantic Segmentation.
IEEE Trans. Intell. Transp. Syst., February, 2023

STCLoc: Deep LiDAR Localization With Spatio-Temporal Constraints.
IEEE Trans. Intell. Transp. Syst., January, 2023

Prototype-Guided Multitask Adversarial Network for Cross-Domain LiDAR Point Clouds Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2023

SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Corrigendum to "LiDAR-based localization using universal encoding and memory-aware regression" Pattern Recognition Volume 128 (2022) 108685.
Pattern Recognit., 2022

LiDAR-based localization using universal encoding and memory-aware regression.
Pattern Recognit., 2022

2020
Urban 3D modeling with mobile laser scanning: a review.
Virtual Real. Intell. Hardw., 2020

Review: Deep Learning on 3D Point Clouds.
Remote. Sens., 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

Review: deep learning on 3D point clouds.
CoRR, 2020


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