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2020 – today
- 2024
[c18]Chen Zhao, Yinlin Hu, Mathieu Salzmann:
LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation. 3DV 2024: 1072-1081- [c17]Van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin, Yinlin Hu, Renaud Marlet, Mathieu Salzmann, Vincent Lepetit:
NOPE: Novel Object Pose Estimation from a Single Image. CVPR 2024: 17923-17932 - [i20]Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl:
Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera. CoRR abs/2405.05858 (2024) - 2023
- [c16]Yang Hai, Rui Song, Jiaojiao Li, Yinlin Hu:
Shape-Constraint Recurrent Flow for 6D Object Pose Estimation. CVPR 2023: 4831-4840 - [c15]Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu:
Rigidity-Aware Detection for 6D Object Pose Estimation. CVPR 2023: 8927-8936 - [c14]Shuxuan Guo, Yinlin Hu, Jose M. Alvarez, Mathieu Salzmann:
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions. CVPR 2023: 18633-18642 - [c13]Yang Hai, Rui Song, Jiaojiao Li, David Ferstl, Yinlin Hu:
Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation. ICCV 2023: 14029-14039 - [c12]Fulin Liu, Yinlin Hu, Mathieu Salzmann:
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. ICCV 2023: 14061-14071 - [i19]Saqib Javed, Andrew Price, Yinlin Hu, Mathieu Salzmann:
Module-Wise Network Quantization for 6D Object Pose Estimation. CoRR abs/2303.06753 (2023) - [i18]Fulin Liu, Yinlin Hu, Mathieu Salzmann:
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. CoRR abs/2303.11516 (2023) - [i17]Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu:
Rigidity-Aware Detection for 6D Object Pose Estimation. CoRR abs/2303.12396 (2023) - [i16]Van Nguyen Nguyen
, Thibault Groueix, Yinlin Hu, Mathieu Salzmann, Vincent Lepetit:
NOPE: Novel Object Pose Estimation from a Single Image. CoRR abs/2303.13612 (2023) - [i15]Yang Hai, Rui Song, Jiaojiao Li, Yinlin Hu:
Shape-Constraint Recurrent Flow for 6D Object Pose Estimation. CoRR abs/2306.13266 (2023) - [i14]Yang Hai, Rui Song, Jiaojiao Li, David Ferstl, Yinlin Hu:
Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation. CoRR abs/2308.10016 (2023) - 2022
- [j6]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Robust Differentiable SVD. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5472-5487 (2022) - [j5]Jiaojiao Li, Shunyao Zi, Rui Song, Yunsong Li, Yinlin Hu, Qian Du:
A Stepwise Domain Adaptive Segmentation Network With Covariate Shift Alleviation for Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c11]Van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit:
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. CVPR 2022: 6761-6770 - [c10]Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. ECCV (2) 2022: 89-106 - [c9]Chen Zhao, Yinlin Hu, Mathieu Salzmann:
Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects. ECCV (1) 2022: 106-122 - [i13]Chen Zhao, Yinlin Hu, Mathieu Salzmann:
Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects. CoRR abs/2203.08472 (2022) - [i12]Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. CoRR abs/2203.09836 (2022) - [i11]Van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit:
Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. CoRR abs/2203.17234 (2022) - [i10]Shuxuan Guo, Yinlin Hu, Jose M. Alvarez, Mathieu Salzmann:
Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment. CoRR abs/2205.14971 (2022) - [i9]Chen Zhao, Yinlin Hu, Mathieu Salzmann:
Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation. CoRR abs/2211.16290 (2022) - 2021
- [j4]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) - [c8]Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji:
SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation. AAAI 2021: 2020-2028 - [c7]Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann:
Wide-Depth-Range 6D Object Pose Estimation in Space. CVPR 2021: 15870-15879 - [i8]Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann:
Wide-Depth-Range 6D Object Pose Estimation in Space. CoRR abs/2104.00337 (2021) - [i7]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Robust Differentiable SVD. CoRR abs/2104.03821 (2021) - 2020
- [c6]Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann:
Single-Stage 6D Object Pose Estimation. CVPR 2020: 2927-2936 - [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]Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji:
Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations. CoRR abs/2008.08391 (2020)
2010 – 2019
- 2019
- [c5]Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Segmentation-Driven 6D Object Pose Estimation. CVPR 2019: 3385-3394 - [c4]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Backpropagation-Friendly Eigendecomposition. NeurIPS 2019: 3156-3164 - [i4]Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann:
Backpropagation-Friendly Eigendecomposition. CoRR abs/1906.09023 (2019) - [i3]Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann:
Single-Stage 6D Object Pose Estimation. CoRR abs/1911.08324 (2019) - 2018
- [j3]Yinlin Hu, Yunsong Li, Rui Song, Peng Rao, Yangli Wang:
Minimum barrier superpixel segmentation. Image Vis. Comput. 70: 1-10 (2018) - [j2]Yunsong Li, Yinlin Hu, Rui Song, Peng Rao, Yangli Wang:
Coarse-to-Fine PatchMatch for Dense Correspondence. IEEE Trans. Circuits Syst. Video Technol. 28(9): 2233-2245 (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 - [i2]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) - [i1]Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann:
Segmentation-driven 6D Object Pose Estimation. CoRR abs/1812.02541 (2018) - 2017
- [c2]Yinlin Hu, Yunsong Li, Rui Song:
Robust Interpolation of Correspondences for Large Displacement Optical Flow. CVPR 2017: 4791-4799 - 2016
- [j1]Yinlin Hu, Rui Song, Yunsong Li, Peng Rao, Yangli Wang:
Highly accurate optical flow estimation on superpixel tree. Image Vis. Comput. 52: 167-177 (2016) - [c1]Yinlin Hu, Rui Song, Yunsong Li:
Efficient Coarse-to-Fine Patch Match for Large Displacement Optical Flow. CVPR 2016: 5704-5712
Coauthor Index
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