Efficient Coarse-to-Fine Patch Match for Large Displacement Optical Flow. - Yinlin Hu; Rui Song 003; Yunsong Li (CVPR, 2016)

Highly accurate optical flow estimation on superpixel tree. - Yinlin Hu; Rui Song 003; Yunsong Li; Peng Rao; Yangli Wang (Image Vis. Comput., 2016)

Robust Interpolation of Correspondences for Large Displacement Optical Flow. - Yinlin Hu; Yunsong Li; Rui Song 003 (CVPR, 2017)

Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses. - Zheng Dang; Kwang Moo Yi; Yinlin Hu; Fei Wang 008; Pascal Fua; Mathieu Salzmann (ECCV (5), 2018)

Minimum barrier superpixel segmentation. - Yinlin Hu; Yunsong Li; Rui Song 003; Peng Rao; Yangli Wang (Image Vis. Comput., 2018)

Coarse-to-Fine PatchMatch for Dense Correspondence. - Yunsong Li; Yinlin Hu; Rui Song 003; Peng Rao; Yangli Wang (IEEE Trans. Circuits Syst. Video Technol., 2018)

Segmentation-Driven 6D Object Pose Estimation. - Yinlin Hu; Joachim Hugonot; Pascal Fua; Mathieu Salzmann (CVPR, 2019)

Backpropagation-Friendly Eigendecomposition. - Wei Wang 108; Zheng Dang; Yinlin Hu; Pascal Fua; Mathieu Salzmann (NeurIPS, 2019)

Single-Stage 6D Object Pose Estimation. - Yinlin Hu; Pascal Fua; Wei Wang 108; Mathieu Salzmann (CVPR, 2020)

Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations. - Zhigang Li; Yinlin Hu; Mathieu Salzmann; Xiangyang Ji (CoRR, 2020)

SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation. - Zhigang Li; Yinlin Hu; Mathieu Salzmann; Xiangyang Ji (AAAI, 2021)

Wide-Depth-Range 6D Object Pose Estimation in Space. - Yinlin Hu; Sébastien Speierer; Wenzel Jakob; Pascal Fua; Mathieu Salzmann (CVPR, 2021)

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. - Zheng Dang; Kwang Moo Yi; Yinlin Hu; Fei Wang 008; Pascal Fua; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. - Van Nguyen Nguyen; Yinlin Hu; Yang Xiao 009; Mathieu Salzmann; Vincent Lepetit (CVPR, 2022)

Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. - Yinlin Hu; Pascal Fua; Mathieu Salzmann (ECCV (2), 2022)

Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects. - Chen Zhao; Yinlin Hu; Mathieu Salzmann (ECCV (1), 2022)

Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment. - Shuxuan Guo; Yinlin Hu; José M. Álvarez 004; Mathieu Salzmann (CoRR, 2022)

Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation. - Chen Zhao; Yinlin Hu; Mathieu Salzmann (CoRR, 2022)

Robust Differentiable SVD. - Wei Wang 108; Zheng Dang; Yinlin Hu; Pascal Fua; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Stepwise Domain Adaptive Segmentation Network With Covariate Shift Alleviation for Remote Sensing Imagery. - Jiaojiao Li 001; Shunyao Zi; Rui Song 003; Yunsong Li; Yinlin Hu; Qian Du 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions. - Shuxuan Guo; Yinlin Hu; José M. Álvarez 004; Mathieu Salzmann (CVPR, 2023)

Shape-Constraint Recurrent Flow for 6D Object Pose Estimation. - Yang Hai; Rui Song 003; Jiaojiao Li 001; Yinlin Hu (CVPR, 2023)

Rigidity-Aware Detection for 6D Object Pose Estimation. - Yang Hai; Rui Song 003; Jiaojiao Li 001; Mathieu Salzmann; Yinlin Hu (CVPR, 2023)

Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation. - Yang Hai; Rui Song 003; Jiaojiao Li 001; David Ferstl; Yinlin Hu (ICCV, 2023)

Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. - Fulin Liu; Yinlin Hu; Mathieu Salzmann (ICCV, 2023)

Module-Wise Network Quantization for 6D Object Pose Estimation. - Saqib Javed; Andrew Lawrence Price; Yinlin Hu; Mathieu Salzmann (CoRR, 2023)

NOPE: Novel Object Pose Estimation from a Single Image. - Van Nguyen Nguyen; Thibault Groueix; Yinlin Hu; Mathieu Salzmann; Vincent Lepetit (CoRR, 2023)

LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation. - Chen Zhao; Yinlin Hu; Mathieu Salzmann (3DV, 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 (CVPR, 2024)

Modular Quantization-Aware Training for 6D Object Pose Estimation. - Saqib Javed; Chengkun Li; Andrew Lawrence Price; Yinlin Hu; Mathieu Salzmann (Trans. Mach. Learn. Res., 2024)

Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera. - Haixin Shi; Yinlin Hu; Daniel Koguciuk; Juan-Ting Lin; Mathieu Salzmann; David Ferstl (AAAI, 2025)

Hierarchical Flow Diffusion for Efficient Frame Interpolation. - Yang Hai; Guo Wang; Tan Su; Wenjie Jiang; Yinlin Hu (CVPR, 2025)

SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow. - Qingyuan Wang; Rui Song 003; Jiaojiao Li 001; Kerui Cheng; David Ferstl; Yinlin Hu (CVPR, 2025)