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2020 – today
- 2024
[j3]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): 4489-4503 (2024)- [c15]Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann:
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses. CVPR 2024: 20485-20495 - [c14]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: 441-455 - [c13]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: 1239-1255 - [i15]Chen Zhao, Tong Zhang, Zheng Dang, Mathieu Salzmann:
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses. CoRR abs/2403.13683 (2024) - [i14]Zheng Dang, Jialu Huang, Fei Wang, Mathieu Salzmann:
OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction. CoRR abs/2406.08894 (2024) - 2023
- [c12]Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann:
Robust Outlier Rejection for 3D Registration with Variational Bayes. CVPR 2023: 1148-1157 - [c11]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: 3404-3414 - [c10]Zheng Dang, Mathieu Salzmann:
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration. ICCV 2023: 8975-8985 - [c9]Junning Qiu, Fei Wang, Zheng Dang:
Multi-Source Fusion for Voxel-Based 7-DoF Grasping Pose Estimation. IROS 2023: 968-975 - [c8]Zheng Dang, Hao Chen, Xinhong Hei, Yilong Liu:
A Digital Twin Framework for Logical Range. NaNA 2023: 313-317 - [c7]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 - [i13]Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann:
Robust Outlier Rejection for 3D Registration with Variational Bayes. CoRR abs/2304.01514 (2023) - [i12]Zheng Dang, Mathieu Salzmann:
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration. CoRR abs/2309.11170 (2023) - [i11]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 abs/2310.17359 (2023) - [i10]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 abs/2312.03053 (2023) - 2022
- [j2]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Robust Differentiable SVD. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5472-5487 (2022) - [c6]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: 115-127 - [c5]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: 19-37 - [i9]Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann:
Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World. CoRR abs/2203.15309 (2022) - 2021
- [j1]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): 3167-3182 (2021) - [i8]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Robust Differentiable SVD. CoRR abs/2104.03821 (2021) - [i7]Zheng Dang, Lizhou Wang, Junning Qiu, Minglei Lu, Mathieu Salzmann:
What Stops Learning-based 3D Registration from Working in the Real World? CoRR abs/2111.10399 (2021) - 2020
- [i6]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 abs/2004.07931 (2020) - [i5]Zheng Dang, Fei Wang, Mathieu Salzmann:
Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration. CoRR abs/2006.04523 (2020) - [i4]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 abs/2011.08771 (2020) - [i3]Zheng Dang, Fei Wang, Mathieu Salzmann:
3D Registration for Self-Occluded Objects in Context. CoRR abs/2011.11260 (2020)
2010 – 2019
- 2019
- [c4]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Backpropagation-Friendly Eigendecomposition. NeurIPS 2019: 3156-3164 - [i2]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Backpropagation-Friendly Eigendecomposition. CoRR abs/1906.09023 (2019) - 2018
- [c3]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: 792-807 - [i1]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 abs/1803.08071 (2018) - 2011
- [c2]Zheng Dang, Songyun Xie, Ge Wang, Fahad Raza:
Fast Moving Target Detection Based on Gray Correlation Analysis and Background Subtraction. ISNN (2) 2011: 388-394 - [c1]Feng Ji, Xinbo Gao, Zheng Dang, Songyun Xie:
Shadow Removal Based on Gray Correlation Analysis and Sobel Edge Detection Algorithm. ISNN (2) 2011: 395-401
Coauthor Index
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last updated on 2024-10-07 02:21 CEST by the dblp team
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