Zheng Dang
Orcid: 0000-0003-3841-7912
According to our database1,
Zheng Dang
authored at least 22 papers
between 2011 and 2024.
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Bibliography
2024
CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024
2023
CoRR, 2023
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation.
CoRR, 2023
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Networking and Network Applications, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022
2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
2020
A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task.
CoRR, 2020
CoRR, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Proceedings of the Computer Vision - ECCV 2018, 2018
2011
Shadow Removal Based on Gray Correlation Analysis and Sobel Edge Detection Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
Fast Moving Target Detection Based on Gray Correlation Analysis and Background Subtraction.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011