Jiuming Liu

Orcid: 0009-0001-8047-3814

According to our database1, Jiuming Liu authored at least 14 papers between 2023 and 2024.

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

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

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
Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation.
CoRR, 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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