Follow
Zheng Dang
Zheng Dang
CVLab, EPFL, Switzerland
Verified email at epfl.ch
Title
Cited by
Cited by
Year
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
352018
Backpropagation-friendly eigendecomposition
W Wang, Z Dang, Y Hu, P Fua, M Salzmann
Advances in Neural Information Processing Systems 32, 2019
322019
Learning 3d-3d correspondences for one-shot partial-to-partial registration
Z Dang, F Wang, M Salzmann
arXiv preprint arXiv:2006.04523, 2020
82020
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
82020
Robust differentiable svd
W Wang, Z Dang, Y Hu, P Fua, M Salzmann
IEEE transactions on pattern analysis and machine intelligence, 2021
72021
Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World
Z Dang, W Lizhou, G Yu, M Salzmann
European Conference on Computer Vision (ECCV2022), 2022
12022
3D Registration for Self-Occluded Objects in Context
Z Dang, F Wang, M Salzmann
arXiv preprint arXiv:2011.11260, 2020
12020
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
2021
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
The system can't perform the operation now. Try again later.
Articles 1–9