| Segmentation-Driven 6D Object Pose Estimation Y Hu, J Hugonot, P Fua, M Salzmann Computer Vision and Pattern Recognition (CVPR), 2019 | 360 | 2019 |
| Efficient Coarse-to-Fine PatchMatch for Large Displacement Optical Flow Y Hu, R Song, Y Li Computer Vision and Pattern Recognition (CVPR), 2016 | 265 | 2016 |
| Single-Stage 6D Object Pose Estimation Y Hu, P Fua, W Wang, M Salzmann Computer Vision and Pattern Recognition (CVPR), 2020 | 220 | 2020 |
| Robust Interpolation of Correspondences for Large Displacement Optical Flow Y Hu, Y Li, R Song Computer Vision and Pattern Recognition (CVPR), 2017 | 91 | 2017 |
| Wide-Depth-Range 6D Object Pose Estimation in Space Y Hu, S Speierer, W Jakob, P Fua, M Salzmann Computer Vision and Pattern Recognition (CVPR), 2021 | 81 | 2021 |
| Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions VN Nguyen, Y Hu, Y Xiao, M Salzmann, V Lepetit Computer Vision and Pattern Recognition (CVPR), 2022 | 67 | 2022 |
| Backpropagation-Friendly Eigendecomposition W Wang, Z Dang, Y Hu, P Fua, M Salzmann Neural Information Processing Systems (NeurIPS), 2019 | 58 | 2019 |
| Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses Z Dang, K Moo Yi, Y Hu, F Wang, P Fua, M Salzmann European Conference on Computer Vision (ECCV), 2018 | 51 | 2018 |
| Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation Y Hu, P Fua, M Salzmann European Conference on Computer Vision (ECCV), 2022 | 38 | 2022 |
| A Stepwise Domain Adaptive Segmentation Network with Covariate Shift Alleviation for Remote Sensing Imagery J Li, S Zi, R Song, Y Li, Y Hu, Q Du IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022 | 36 | 2022 |
| Robust Differentiable SVD W Wang, Z Dang, Y Hu, P Fua, M Salzmann Pattern Analysis and Machine Intelligence (PAMI), 2021 | 30 | 2021 |
| Coarse-to-Fine PatchMatch for Dense Correspondence Y Li, Y Hu, R Song, P Rao, Y Wang Circuits and Systems for Video Technology (CSVT), 2017 | 30 | 2017 |
| Highly Accurate Optical Flow Estimation on Superpixel Tree Y Hu, R Song, Y Li, P Rao, Y Wang Image and Vision Computing (IVC), 2016 | 21 | 2016 |
| Minimum Barrier Superpixel Segmentation Y Hu, Y Li, R Song, P Rao, Y Wang Image and Vision Computing (IVC), 2018 | 18 | 2018 |
| Shape-Constraint Recurrent Flow for 6D Object Pose Estimation Y Hai, R Song, J Li, Y Hu Computer Vision and Pattern Recognition (CVPR), 2023 | 17 | 2023 |
| Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects C Zhao, Y Hu, M Salzmann European Conference on Computer Vision (ECCV), 2022 | 16 | 2022 |
| Rigidity-Aware Detection for 6D Object Pose Estimation Y Hai, R Song, J Li, M Salzmann, Y Hu Computer Vision and Pattern Recognition (CVPR), 2023 | 15 | 2023 |
| NOPE: Novel Object Pose Estimation from a Single Image VN Nguyen, T Groueix, G Ponimatkin, Y Hu, R Marlet, M Salzmann, ... Computer Vision and Pattern Recognition (CVPR), 2024 | 14 | 2024 |
| Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems Z Dang, KM Yi, Y Hu, F Wang, P Fua, M Salzmann Pattern Analysis and Machine Intelligence (PAMI), 2020 | 14 | 2020 |
| SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation Z Li, Y Hu, M Salzmann, X Ji AAAI Conference On Artificial Intelligence (AAAI), 2021 | 11 | 2021 |
Mathieu SalzmannEPFLVerified email at epfl.ch
