Chaokang Jiang

Orcid: 0000-0002-3504-843X

According to our database1, Chaokang Jiang authored at least 13 papers between 2022 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

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

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
3-D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion.
IEEE Trans. Ind. Informatics, June, 2023

Pseudo-LiDAR for Visual Odometry.
IEEE Trans. Instrum. Meas., 2023

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

2022
3D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion.
CoRR, 2022

FFPA-Net: Efficient Feature Fusion with Projection Awareness for 3D Object Detection.
CoRR, 2022

Unsupervised Learning of 3D Scene Flow with 3D Odometry Assistance.
CoRR, 2022

SFGAN: Unsupervised Generative Adversarial Learning of 3D Scene Flow from the 3D Scene Self.
Adv. Intell. Syst., 2022


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