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Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations., , , and . CoRR, (2020)Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems., , , , , and . CoRR, (2020)Robust Differentiable SVD., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (9): 5472-5487 (2022)Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 43 (9): 3167-3182 (2021)Rigidity-Aware Detection for 6D Object Pose Estimation., , , , and . CVPR, page 8927-8936. IEEE, (2023)Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation., , , , and . ICCV, page 14029-14039. IEEE, (2023)Segmentation-Driven 6D Object Pose Estimation., , , and . CVPR, page 3385-3394. Computer Vision Foundation / IEEE, (2019)Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation., , and . ECCV (2), volume 13662 of Lecture Notes in Computer Science, page 89-106. Springer, (2022)Coarse-to-Fine PatchMatch for Dense Correspondence., , , , and . IEEE Trans. Circuits Syst. Video Techn., 28 (9): 2233-2245 (2018)Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions., , , , and . CVPR, page 6761-6770. IEEE, (2022)