| Backpropagation-friendly eigendecomposition W Wang, Z Dang, Y Hu, P Fua, M Salzmann Advances in Neural Information Processing Systems 32, 2019 | 60 | 2019 |
| 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 | 52 | 2018 |
| 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 | 36 | 2023 |
| 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 | 31 | 2021 |
| Learning 3D-3D correspondences for one-shot partial-to-partial registration Z Dang, F Wang, M Salzmann arXiv preprint arXiv:2006.04523, 2020 | 20 | 2020 |
| 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 | 19 | 2024 |
| 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 | 16 | 2022 |
| 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 | 14 | 2020 |
| 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 | 6 | 2023 |
| 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 | 4 | 2024 |
| 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 | 3 | 2024 |
| 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 | 1 | 2023 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| 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 | 1 | 2021 |
| 3D Registration for Self-Occluded Objects in Context Z Dang, F Wang, M Salzmann arXiv preprint arXiv:2011.11260, 2020 | 1 | 2020 |
| 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 | | |
Mathieu SalzmannEPFLVerified email at epfl.ch
