Zheng Dang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 30

Top Topics

Diffusion Model

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Rui Wang, Weixu Zong, Shuibing He, Xinyu Chen, Zhenxin Li, Zheng Dang
Efficient Large Graph Processing with Chunk-Based Graph Representation Model. USENIX ATC (2024)
Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses. CoRR (2024)
Zhenxin Li, Shuibing He, Zheng Dang, Peiyi Hong, Xuechen Zhang, Rui Wang, Fei Wu
CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory. EuroSys (2024)
Zheng Dang, Jialu Huang, Fei Wang, Mathieu Salzmann
OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction. CoRR (2024)
Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann
Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Zhi Chen, Yufan Ren, Tong Zhang, Zheng Dang, Wenbing Tao, Sabine Süsstrunk, Mathieu Salzmann
DiffusionPCR: Diffusion Models for Robust Multi-Step Point Cloud Registration. CoRR (2023)
Junning Qiu, Fei Wang, Zheng Dang
Multi-Source Fusion for Voxel-Based 7-DoF Grasping Pose Estimation. IROS (2023)
Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann
Robust Outlier Rejection for 3D Registration with Variational Bayes. CVPR (2023)
Zheng Dang, Hao Chen, Xinhong Hei, Yilong Liu
A Digital Twin Framework for Logical Range. NaNA (2023)
Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation. CoRR (2023)
Zheng Dang, Mathieu Salzmann
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration. CoRR (2023)
Haobo Jiang, Zheng Dang, Shuo Gu, Jin Xie, Mathieu Salzmann, Jian Yang
Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation. ICCV (2023)
Zheng Dang, Mathieu Salzmann
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration. ICCV (2023)
Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation. NeurIPS (2023)
Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann
Robust Outlier Rejection for 3D Registration with Variational Bayes. CoRR (2023)
Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann
Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World. CoRR (2022)
Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann
Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World. ECCV (1) (2022)
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
Robust Differentiable SVD. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Zheng Dang, Shuibing He, Peiyi Hong, Zhenxin Li, Xuechen Zhang, Xian-He Sun, Gang Chen
NVAlloc: rethinking heap metadata management in persistent memory allocators. ASPLOS (2022)
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
Robust Differentiable SVD. CoRR (2021)
Zheng Dang, Lizhou Wang, Junning Qiu, Minglei Lu, Mathieu Salzmann
What Stops Learning-based 3D Registration from Working in the Real World? CoRR (2021)
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Zheng Dang, Fei Wang, Mathieu Salzmann
3D Registration for Self-Occluded Objects in Context. CoRR (2020)
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. CoRR (2020)
Zheng Dang, Fei Wang, Mathieu Salzmann
Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration. CoRR (2020)
Minglei Lu, Yu Guo, Fei Wang, Zheng Dang
A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task. CoRR (2020)
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
Backpropagation-Friendly Eigendecomposition. CoRR (2019)
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
Backpropagation-Friendly Eigendecomposition. NeurIPS (2019)
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses. ECCV (5) (2018)
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses. CoRR (2018)
Zheng Dang, Songyun Xie, Ge Wang, Fahad Raza
Fast Moving Target Detection Based on Gray Correlation Analysis and Background Subtraction. ISNN (2) (2011)
Feng Ji, Xinbo Gao, Zheng Dang, Songyun Xie
Shadow Removal Based on Gray Correlation Analysis and Sobel Edge Detection Algorithm. ISNN (2) (2011)