Yinlin Hu

According to our database, Yinlin Hu authored at least 30 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera.

Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl

CoRR, 2024

NOPE: Novel Object Pose Estimation from a Single Image.

Van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin, Yinlin Hu, Renaud Marlet, Mathieu Salzmann, Vincent Lepetit

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation.

Chen Zhao, Yinlin Hu, Mathieu Salzmann

Proceedings of the International Conference on 3D Vision, 2024

2023

NOPE: Novel Object Pose Estimation from a Single Image.

Van Nguyen Nguyen, Thibault Groueix, Yinlin Hu, Mathieu Salzmann, Vincent Lepetit

CoRR, 2023

Module-Wise Network Quantization for 6D Object Pose Estimation.

Saqib Javed, Andrew Price, Yinlin Hu, Mathieu Salzmann

CoRR, 2023

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

Fulin Liu, Yinlin Hu, Mathieu Salzmann

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Yang Hai, Rui Song, Jiaojiao Li, David Ferstl, Yinlin Hu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rigidity-Aware Detection for 6D Object Pose Estimation.

Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Shape-Constraint Recurrent Flow for 6D Object Pose Estimation.

Yang Hai, Rui Song, Jiaojiao Li, Yinlin Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Shuxuan Guo, Yinlin Hu, José M. Álvarez, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Stepwise Domain Adaptive Segmentation Network With Covariate Shift Alleviation for Remote Sensing Imagery.

Jiaojiao Li, Shunyao Zi, Rui Song, Yunsong Li, Yinlin Hu, Qian Du

IEEE Trans. Geosci. Remote. Sens., 2022

Robust Differentiable SVD.

Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

Chen Zhao, Yinlin Hu, Mathieu Salzmann

CoRR, 2022

Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment.

Shuxuan Guo, Yinlin Hu, José M. Álvarez, Mathieu Salzmann

CoRR, 2022

Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects.

Chen Zhao, Yinlin Hu, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Yinlin Hu, Pascal Fua, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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

Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., 2021

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

Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations.

Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji

CoRR, 2020

Single-Stage 6D Object Pose Estimation.

Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Backpropagation-Friendly Eigendecomposition.

Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Segmentation-Driven 6D Object Pose Estimation.

Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Coarse-to-Fine PatchMatch for Dense Correspondence.

Yunsong Li, Yinlin Hu, Rui Song, Peng Rao, Yangli Wang

IEEE Trans. Circuits Syst. Video Technol., 2018

Minimum barrier superpixel segmentation.

Yinlin Hu, Yunsong Li, Rui Song, Peng Rao, Yangli Wang

Image Vis. Comput., 2018

Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses.

Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Robust Interpolation of Correspondences for Large Displacement Optical Flow.

Yinlin Hu, Yunsong Li, Rui Song

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Highly accurate optical flow estimation on superpixel tree.

Yinlin Hu, Rui Song, Yunsong Li, Peng Rao, Yangli Wang

Image Vis. Comput., 2016

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

Yinlin Hu, Rui Song, Yunsong Li

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016