Fan Lu

Orcid: 0000-0002-4932-3850

Affiliations:
  • Tongji University, Shanghai, China


According to our database1, Fan Lu authored at least 23 papers between 2018 and 2024.

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

Timeline

2018
2019
2020
2021
2022
2023
2024
0
1
2
3
4
5
6
7
8
9
3
3
1
2
2
5
2
2
2
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos.
CoRR, 2024

RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling.
CoRR, 2024

Urban Architect: Steerable 3D Urban Scene Generation with Layout Prior.
CoRR, 2024

HDMNet: A Hierarchical Matching Network with Double Attention for Large-scale Outdoor LiDAR Point Cloud Registration.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PCDepth: Pattern-based Complementary Learning for Monocular Depth Estimation by Best of Both Worlds.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

LiDAR4D: Dynamic Neural Fields for Novel Space-Time View LiDAR Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
HRegNet: A Hierarchical Network for Efficient and Accurate Outdoor LiDAR Point Cloud Registration.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

RPP-Net: Rigid Constrained Point Cloud Prediction Network.
IEEE Trans. Intell. Transp. Syst., September, 2023

Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Urban Radiance Field Representation with Deformable Neural Mesh Primitives.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
MoNet: Motion-Based Point Cloud Prediction Network.
IEEE Trans. Intell. Transp. Syst., 2022

2021
Pole-Curb Fusion Based Robust and Efficient Autonomous Vehicle Localization System With Branch-and-Bound Global Optimization and Local Grid Map Method.
IEEE Trans. Veh. Technol., 2021

ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization.
CoRR, 2021

HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PointINet: Point Cloud Frame Interpolation Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
MoNet: Motion-based Point Cloud Prediction Network.
CoRR, 2020

LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection.
CoRR, 2020

RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pole-based Localization for Autonomous Vehicles in Urban Scenarios Using Local Grid Map-based Method.
Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020

2018
An Efficient L-Shape Fitting Method for Vehicle Pose Detection with 2D LiDAR.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018


  Loading...