Yinlin Hu - RankMe

50 papers A* 17Journal 29Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera. AAAI Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl
2025	A*	`conf`	Hierarchical Flow Diffusion for Efficient Frame Interpolation. CVPR Yang Hai, Guo Wang, Tan Su, Wenjie Jiang, Yinlin Hu
2025	J	`jnl`	Hierarchical Flow Diffusion for Efficient Frame Interpolation. CoRR Yang Hai, Guo Wang, Tan Su, Wenjie Jiang, Yinlin Hu
2025	A*	`conf`	SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow. CVPR Qingyuan Wang, Rui Song, Jiaojiao Li, Kerui Cheng, David Ferstl, Yinlin Hu
2025	J	`jnl`	SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow. CoRR Qingyuan Wang, Rui Song, Jiaojiao Li, Kerui Cheng, David Ferstl, Yinlin Hu
2024	J	`jnl`	Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera. CoRR Haixin Shi, Yinlin Hu, Daniel Koguciuk, Juan-Ting Lin, Mathieu Salzmann, David Ferstl
2024	—	`conf`	LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation. 3DV Chen Zhao, Yinlin Hu, Mathieu Salzmann
2024	J	`jnl`	Modular Quantization-Aware Training for 6D Object Pose Estimation. Trans. Mach. Learn. Res. Saqib Javed, Chengkun Li, Andrew Lawrence Price, Yinlin Hu, Mathieu Salzmann
2024	A*	`conf`	NOPE: Novel Object Pose Estimation from a Single Image. CVPR van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin, Yinlin Hu, Renaud Marlet, Mathieu Salzmann, Vincent Lepetit
2023	A*	`conf`	Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions. CVPR Shuxuan Guo, Yinlin Hu, José M. Álvarez, Mathieu Salzmann
2023	A*	`conf`	Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. ICCV Fulin Liu, Yinlin Hu, Mathieu Salzmann
2023	J	`jnl`	Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. CoRR Fulin Liu, Yinlin Hu, Mathieu Salzmann
2023	J	`jnl`	Module-Wise Network Quantization for 6D Object Pose Estimation. CoRR Saqib Javed, Andrew Lawrence Price, Yinlin Hu, Mathieu Salzmann
2023	J	`jnl`	NOPE: Novel Object Pose Estimation from a Single Image. CoRR van Nguyen Nguyen, Thibault Groueix, Yinlin Hu, Mathieu Salzmann, Vincent Lepetit
2023	A*	`conf`	Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation. ICCV Yang Hai, Rui Song, Jiaojiao Li, David Ferstl, Yinlin Hu
2023	J	`jnl`	Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation. CoRR Yang Hai, Rui Song, Jiaojiao Li, David Ferstl, Yinlin Hu
2023	A*	`conf`	Rigidity-Aware Detection for 6D Object Pose Estimation. CVPR Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu
2023	J	`jnl`	Rigidity-Aware Detection for 6D Object Pose Estimation. CoRR Yang Hai, Rui Song, Jiaojiao Li, Mathieu Salzmann, Yinlin Hu
2023	A*	`conf`	Shape-Constraint Recurrent Flow for 6D Object Pose Estimation. CVPR Yang Hai, Rui Song, Jiaojiao Li, Yinlin Hu
2023	J	`jnl`	Shape-Constraint Recurrent Flow for 6D Object Pose Estimation. CoRR Yang Hai, Rui Song, Jiaojiao Li, Yinlin Hu
2022	J	`jnl`	A Stepwise Domain Adaptive Segmentation Network With Covariate Shift Alleviation for Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. Jiaojiao Li, Shunyao Zi, Rui Song, Yunsong Li, Yinlin Hu, Qian Du
2022	J	`jnl`	Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation. CoRR Chen Zhao, Yinlin Hu, Mathieu Salzmann
2022	—	`conf`	Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects. ECCV (1) Chen Zhao, Yinlin Hu, Mathieu Salzmann
2022	J	`jnl`	Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects. CoRR Chen Zhao, Yinlin Hu, Mathieu Salzmann
2022	J	`jnl`	Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment. CoRR Shuxuan Guo, Yinlin Hu, José M. Álvarez, Mathieu Salzmann
2022	—	`conf`	Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. ECCV (2) Yinlin Hu, Pascal Fua, Mathieu Salzmann
2022	J	`jnl`	Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. CoRR Yinlin Hu, Pascal Fua, Mathieu Salzmann
2022	J	`jnl`	Robust Differentiable SVD. IEEE Trans. Pattern Anal. Mach. Intell. Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
2022	A*	`conf`	Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. CVPR van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit
2022	J	`jnl`	Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. CoRR van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit
2021	J	`jnl`	Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. IEEE Trans. Pattern Anal. Mach. Intell. Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2021	J	`jnl`	Robust Differentiable SVD. CoRR Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
2021	A*	`conf`	SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation. AAAI Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji
2021	A*	`conf`	Wide-Depth-Range 6D Object Pose Estimation in Space. CVPR Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann
2021	J	`jnl`	Wide-Depth-Range 6D Object Pose Estimation in Space. CoRR Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann
2020	J	`jnl`	Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems. CoRR Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2020	J	`jnl`	Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations. CoRR Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji
2020	A*	`conf`	Single-Stage 6D Object Pose Estimation. CVPR Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann
2019	A*	`conf`	Backpropagation-Friendly Eigendecomposition. NeurIPS Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
2019	J	`jnl`	Backpropagation-Friendly Eigendecomposition. CoRR Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann
2019	A*	`conf`	Segmentation-Driven 6D Object Pose Estimation. CVPR Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
2019	J	`jnl`	Single-Stage 6D Object Pose Estimation. CoRR Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann
2018	J	`jnl`	Coarse-to-Fine PatchMatch for Dense Correspondence. IEEE Trans. Circuits Syst. Video Technol. Yunsong Li, Yinlin Hu, Rui Song, Peng Rao, Yangli Wang
2018	—	`conf`	Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses. ECCV (5) Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2018	J	`jnl`	Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses. CoRR Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua, Mathieu Salzmann
2018	J	`jnl`	Minimum barrier superpixel segmentation. Image Vis. Comput. Yinlin Hu, Yunsong Li, Rui Song, Peng Rao, Yangli Wang
2018	J	`jnl`	Segmentation-driven 6D Object Pose Estimation. CoRR Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
2017	A*	`conf`	Robust Interpolation of Correspondences for Large Displacement Optical Flow. CVPR Yinlin Hu, Yunsong Li, Rui Song
2016	A*	`conf`	Efficient Coarse-to-Fine Patch Match for Large Displacement Optical Flow. CVPR Yinlin Hu, Rui Song, Yunsong Li
2016	J	`jnl`	Highly accurate optical flow estimation on superpixel tree. Image Vis. Comput. Yinlin Hu, Rui Song, Yunsong Li, Peng Rao, Yangli Wang