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Zheng Dang
Zheng Dang
CVLab, EPFL, Switzerland
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Backpropagation-friendly eigendecomposition
W Wang, Z Dang, Y Hu, P Fua, M Salzmann
Advances in Neural Information Processing Systems 32, 2019
602019
Eigendecomposition-free training of deep networks with zero eigenvalue-based losses
Z Dang, KM Yi, Y Hu, F Wang, P Fua, M Salzmann
Proceedings of the European Conference on Computer Vision (ECCV), 768-783, 2018
522018
Robust outlier rejection for 3d registration with variational bayes
H Jiang, Z Dang, Z Wei, J Xie, J Yang, M Salzmann
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
362023
Robust differentiable SVD
W Wang, Z Dang, Y Hu, P Fua, M Salzmann
IEEE transactions on pattern analysis and machine intelligence 44 (9), 5472-5487, 2021
312021
Learning 3D-3D correspondences for one-shot partial-to-partial registration
Z Dang, F Wang, M Salzmann
arXiv preprint arXiv:2006.04523, 2020
202020
Se (3) diffusion model-based point cloud registration for robust 6d object pose estimation
H Jiang, M Salzmann, Z Dang, J Xie, J Yang
Advances in Neural Information Processing Systems 36, 2024
192024
Learning-based point cloud registration for 6d object pose estimation in the real world
Z Dang, L Wang, Y Guo, M Salzmann
European conference on computer vision, 19-37, 2022
162022
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems.
Z Dang, MY Kwang, F Hu, Yilin, Wang, P Fua, M Salzmann
Pattern Analysis and Machine Intelligence (PAMI), 2020
142020
Diffusionpcr: Diffusion models for robust multi-step point cloud registration
Z Chen, Y Ren, T Zhang, Z Dang, W Tao, S Süsstrunk, M Salzmann
arXiv preprint arXiv:2312.03053, 2023
62023
Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation
H Jiang, Z Dang, S Gu, J Xie, M Salzmann, J Yang
2023 International Conference on Computer Vision, 2023
6*2023
Match normalization: Learning-based point cloud registration for 6d object pose estimation in the real world
Z Dang, L Wang, Y Guo, M Salzmann
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
42024
DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses
C Zhao, T Zhang, Z Dang, M Salzmann
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
32024
Multi-Source Fusion for Voxel-Based 7-DoF Grasping Pose Estimation
J Qiu, F Wang, Z Dang
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
12023
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration
Z Dang, M Salzmann
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12023
MatchNorm: Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World
Z Dang, L Wang, Y Guo, M Salzmann
arXiv preprint arXiv:2203.15309, 2022
12022
What Stops Learning-based 3D Registration from Working in the Real World?
Z Dang, L Wang, J Qiu, M Lu, M Salzmann
arXiv preprint arXiv:2111.10399, 2021
12021
3D Registration for Self-Occluded Objects in Context
Z Dang, F Wang, M Salzmann
arXiv preprint arXiv:2011.11260, 2020
12020
OpenMaterial: A Comprehensive Dataset of Complex Materials for 3D Reconstruction
Z Dang, J Huang, F Wang, M Salzmann
arXiv preprint arXiv:2406.08894, 2024
2024
A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task
M Lu, Y Guo, F Wang, Z Dang
arXiv preprint arXiv:2011.08771, 2020
2020
Supplementary Material for “SE (3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation”
H Jiang, M Salzmann, Z Dang, J Xie, J Yang
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