Zheng Dang

According to our database, Zheng Dang authored at least 24 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.

Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction.

Zheng Dang, Jialu Huang, Fei Wang, Mathieu Salzmann

CoRR, 2024

Efficient Large Graph Processing with Chunk-Based Graph Representation Model.

Rui Wang, Weixu Zong, Shuibing He, Xinyu Chen, Zhenxin Li, Zheng Dang

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory.

Zhenxin Li, Shuibing He, Zheng Dang, Peiyi Hong, Xuechen Zhang, Rui Wang, Fei Wu

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses.

Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DiffusionPCR: Diffusion Models for Robust Multi-Step Point Cloud Registration.

Zhi Chen, Yufan Ren, Tong Zhang, Zheng Dang, Wenbing Tao, Sabine Süsstrunk, Mathieu Salzmann

CoRR, 2023

SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation.

Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang

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.

Zheng Dang, Hao Chen, Xinhong Hei, Yilong Liu

Proceedings of the International Conference on Networking and Network Applications, 2023

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

Junning Qiu, Fei Wang, Zheng Dang

IROS, 2023

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

Haobo Jiang, Zheng Dang, Shuo Gu, Jin Xie, Mathieu Salzmann, Jian Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration.

Zheng Dang, Mathieu Salzmann

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Robust Outlier Rejection for 3D Registration with Variational Bayes.

Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Robust Differentiable SVD.

Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World.

Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2022, 2022

NVAlloc: rethinking heap metadata management in persistent memory allocators.

Zheng Dang, Shuibing He, Peiyi Hong, Zhenxin Li, Xuechen Zhang, Xian-He Sun, Gang Chen

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.

Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., 2021

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

Zheng Dang, Lizhou Wang, Junning Qiu, Minglei Lu, Mathieu Salzmann

CoRR, 2021

2020

3D Registration for Self-Occluded Objects in Context.

Zheng Dang, Fei Wang, Mathieu Salzmann

CoRR, 2020

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

Minglei Lu, Yu Guo, Fei Wang, Zheng Dang

CoRR, 2020

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

Zheng Dang, Fei Wang, Mathieu Salzmann

CoRR, 2020

2019

Backpropagation-Friendly Eigendecomposition.

Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann

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.

Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2018, 2018

2011

Shadow Removal Based on Gray Correlation Analysis and Sobel Edge Detection Algorithm.

Feng Ji, Xinbo Gao, Zheng Dang, Songyun Xie

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Fast Moving Target Detection Based on Gray Correlation Analysis and Background Subtraction.

Zheng Dang, Songyun Xie, Ge Wang, Fahad Raza

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011