Jiuming Liu

Orcid: 0009-0001-8047-3814

According to our database1, Jiuming Liu authored at least 18 papers between 2023 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation.
CoRR, July, 2025

Unsupervised Learning of 3D Scene Flow With LiDAR Odometry Assistance.
IEEE Trans. Intell. Transp. Syst., April, 2025

Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud Registration.
CoRR, 2024

MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models.
CoRR, 2024

NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation.
CoRR, 2024

SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM.
CoRR, 2024

Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy.
CoRR, 2024

Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-directional Structure Alignment.
Proceedings of the Computer Vision - ECCV 2024, 2024

SNI-SLAM: Semantic Neural Implicit SLAM.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-Labelling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Diffusion Model.
CoRR, 2023

SC-NeRF: Self-Correcting Neural Radiance Field with Sparse Views.
CoRR, 2023

RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023


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