Shangshu Yu

Nanyang Technological University — Singapore

Engineering · Physical Sciences

11h-index615citations21works5.62yr avg
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Research Topics

Robotics and Sensor-Based Localization(9), 3D Surveying and Cultural Heritage(7), Remote Sensing and LiDAR Applications(6), Advanced Neural Network Applications(5), 3D Shape Modeling and Analysis(5)

Publications21 total

NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
arXiv (Cornell University)·2025Open Access
Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs
2025· 1 cited
LightLoc: Learning Outdoor LiDAR Localization at Light Speed
2025· 3 cited
STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
EDS-Depth: Enhancing Self-Supervised Monocular Depth Estimation in Dynamic Scenes
IEEE Transactions on Intelligent Transportation Systems·2025· 8 cited
VFM-Depth: Leveraging Vision Foundation Model for Self-Supervised Monocular Depth Estimation
IEEE Transactions on Circuits and Systems for Video Technology·2024· 2 cited
GPSFormer: A Global Perception and Local Structure Fitting-Based Transformer for Point Cloud Understanding
Lecture notes in computer science·2024· 15 cited
GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding
arXiv (Cornell University)·2024· 4 citedOpen Access
DiffLoc: Diffusion Model for Outdoor LiDAR Localization
2024· 17 cited
NIDALoc: Neurobiologically Inspired Deep LiDAR Localization
IEEE Transactions on Intelligent Transportation Systems·2023· 13 cited
SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization
2023· 16 cited
Prototype-Guided Multitask Adversarial Network for Cross-Domain LiDAR Point Clouds Semantic Segmentation
IEEE Transactions on Geoscience and Remote Sensing·2023· 21 cited
STCLoc: Deep LiDAR Localization With Spatio-Temporal Constraints
IEEE Transactions on Intelligent Transportation Systems·2022· 14 cited
Corrigendum to “LiDAR-based localization using universal encoding and memory-aware regression” Pattern Recognition Volume 128 (2022) 108685
Pattern Recognition·2022
LiDAR-based localization using universal encoding and memory-aware regression
Pattern Recognition·2022· 26 citedOpen Access
Category-Level Adversaries for Outdoor LiDAR Point Clouds Cross-Domain Semantic Segmentation
IEEE Transactions on Intelligent Transportation Systems·2022· 21 cited
Deep regression for LiDAR-based localization in dense urban areas
ISPRS Journal of Photogrammetry and Remote Sensing·2021· 21 citedOpen Access
Urban 3D modeling using mobile laser scanning: a review
Virtual Reality & Intelligent Hardware·2020· 71 citedOpen Access
Review: Deep Learning on 3D Point Clouds
Remote Sensing·2020· 348 citedOpen Access
Review: deep learning on 3D point clouds
arXiv (Cornell University)·2020· 4 citedOpen Access
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Frequent Co-authors

Cheng Wang(12), Chenglu Wen(9), Ming Cheng(5), Wen Li(4), Guosheng Hu(4), Meiqing Wu(4), Siew-Kei Lam(4), Zhimin Yuan(3), Weiquan Liu(3), Changshuo Wang(3), Ruiping Wang(3), Saifullahi Aminu Bello(2), Jonathan Li(2), Zhihong Zhang(2), Xin Li(2), Yanfei Su(2), Ming Cheng(2), Siqi Shen(2), Xin Ning(2), Weijun Li(2)