Zheng Dang

Orcid: 0000-0003-3841-7912

According to our database1, Zheng Dang authored at least 22 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses.
CoRR, 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
DiffusionPCR: Diffusion Models for Robust Multi-Step Point Cloud Registration.
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

A Digital Twin Framework for Logical Range.
Proceedings of the International Conference on Networking and Network Applications, 2023

Multi-Source Fusion for Voxel-Based 7-DoF Grasping Pose Estimation.
IROS, 2023

Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation.
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

Robust Outlier Rejection for 3D Registration with Variational Bayes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Robust Differentiable SVD.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.
Proceedings of the Computer Vision - ECCV 2022, 2022

NVAlloc: rethinking heap metadata management in persistent memory allocators.
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
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

What Stops Learning-based 3D Registration from Working in the Real World?
CoRR, 2021

2020
3D Registration for Self-Occluded Objects in Context.
CoRR, 2020

A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task.
CoRR, 2020

Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration.
CoRR, 2020

2019
Backpropagation-Friendly Eigendecomposition.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses.
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


  Loading...