Yinlin Hu

发表

M. Salzmann, Chen Zhao, Yinlin Hu, 2022, ECCV.

Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation

P. Fua, M. Salzmann, Yinlin Hu, 2022, ECCV.

P. Fua, M. Salzmann, Wei Wang, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Segmentation-Driven 6D Object Pose Estimation

Pascal Fua, Mathieu Salzmann, Yinlin Hu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Efficient Coarse-to-Fine Patch Match for Large Displacement Optical Flow

Yunsong Li, Yinlin Hu, Rui Song, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

NOPE: Novel Object Pose Estimation from a Single Image

V. Lepetit, M. Salzmann, Thibault Groueix, 2023, ArXiv.

Backpropagation-Friendly Eigendecomposition

Pascal Fua, Mathieu Salzmann, Wei Wang, 2019, NeurIPS.

A Stepwise Domain Adaptive Segmentation Network with Covariate shift Alleviation for Remote Sensing Imagery

Rui Song, Jiaojiao Li, Yinlin Hu, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

V. Lepetit, M. Salzmann, Yang Xiao, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation

M. Salzmann, Yinlin Hu, Fulin Liu, 2023, ArXiv.

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses pdf

Fei Wang, Pascal Fua, Mathieu Salzmann, 2018, ECCV.

Wide-Depth-Range 6D Object Pose Estimation in Space

Pascal Fua, Wenzel Jakob, Mathieu Salzmann, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation

M. Salzmann, Chen Zhao, Yinlin Hu, 2022, 2211.16290.

Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation

M. Salzmann, Chen Zhao, Yinlin Hu, 2022, ArXiv.

Rigidity-Aware Detection for 6D Object Pose Estimation

M. Salzmann, Rui Song, Jiaojiao Li, 2023, ArXiv.

Shape-Constraint Recurrent Flow for 6D Object Pose Estimation

Rui Song, Jiaojiao Li, Yinlin Hu, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Pascal Fua, Fei Wang, Mathieu Salzmann, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

P. Fua, M. Salzmann, Fei Wang, 2018, ECCV.

Robust Differentiable SVD

P. Fua, M. Salzmann, Wei Wang, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Minimum barrier superpixel segmentation

Yunsong Li, Yangli Wang, Yinlin Hu, 2018, Image Vis. Comput..

Robust Interpolation of Correspondences for Large Displacement Optical Flow

Yunsong Li, Yinlin Hu, Rui Song, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions

M. Salzmann, J. Álvarez, Shuxuan Guo, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment

M. Salzmann, J. Álvarez, Shuxuan Guo, 2022, ArXiv.

Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation

Rui Song, Jiaojiao Li, Yinlin Hu, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation

M. Salzmann, Yinlin Hu, Fulin Liu, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation

Xiangyang Ji, Mathieu Salzmann, Zhigang Li, 2021, AAAI.