Tao Lu

Orcid: 0009-0000-8830-3820

Affiliations:
  • Nanjing University, China


According to our database1, Tao Lu authored at least 13 papers between 2021 and 2024.

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

Timeline

2021
2022
2023
2024
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1
2
3
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5
6
7
8
5
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2
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning Optical Flow and Scene Flow With Bidirectional Camera-LiDAR Fusion.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Proc-GS: Procedural Building Generation for City Assembly with 3D Gaussians.
CoRR, 2024

Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenes.
CoRR, 2024

Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians.
CoRR, 2024

GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction.
CoRR, 2024

GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
APP-Net: Auxiliary-Point-Based Push and Pull Operations for Efficient Point Cloud Recognition.
IEEE Trans. Image Process., 2023

SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LinK: Linear Kernel for LiDAR-based 3D Perception.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification.
CoRR, 2022

CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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