Chaoda Zheng

Orcid: 0000-0001-9347-4181

According to our database1, Chaoda Zheng authored at least 19 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Spatio-Temporal Contextual Learning for Single Object Tracking on Point Clouds.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Benchmarking the Robustness of LiDAR Semantic Segmentation Models.
Int. J. Comput. Vis., July, 2024

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

Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection.
CoRR, 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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