Chaokang Jiang
Orcid: 0000-0002-3504-843X
According to our database1,
Chaokang Jiang
authored at least 13 papers
between 2022 and 2024.
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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
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
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
SFGAN: Unsupervised Generative Adversarial Learning of 3D Scene Flow from the 3D Scene Self.
Adv. Intell. Syst., 2022