Chaoda Zheng

Orcid: 0000-0001-9347-4181

According to our database1, Chaoda Zheng authored at least 16 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face Guidance.
CoRR, 2023

Benchmarking the Robustness of LiDAR Semantic Segmentation Models.
CoRR, 2023

CPU: Codebook Lookup Transformer with Knowledge Distillation for Point Cloud Upsampling.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

LATR: 3D Lane Detection from Monocular Images with Transformer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
M^2-3DLaneNet: Multi-Modal 3D Lane Detection.
CoRR, 2022

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds.
CoRR, 2022

Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Multi-View 3D Shape Recognition via Correspondence-Aware Deep Learning.
IEEE Trans. Image Process., 2021

Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Deeply Exploiting Long-Term View Dependency for 3D Shape Recognition.
IEEE Access, 2019

Multi-view Rank Pooling for 3D Object Recognition*.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019


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