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On the Tightness of Semidefinite Relaxations for Rotation Estimation.

, , , , and . J. Math. Imaging Vis., 64 (1): 57-67 (2022)

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Single-Image Depth Prediction Makes Feature Matching Easier., , , , and . ECCV (16), volume 12361 of Lecture Notes in Computer Science, page 473-492. Springer, (2020)DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision., , , and . ICPR, page 2871-2877. IEEE, (2022)Combining Depth Fusion and Photometric Stereo for Fine-Detailed 3D Models., , , and . SCIA, volume 11482 of Lecture Notes in Computer Science, page 261-274. Springer, (2019)Improving Open-Set Semi-Supervised Learning with Self-Supervision., , , and . CoRR, (2023)Rigidity Preserving Image Transformations and Equivariance in Perspective., , , and . SCIA (2), volume 13886 of Lecture Notes in Computer Science, page 59-76. Springer, (2023)Global Optimality for Point Set Registration Using Semidefinite Programming., , and . CVPR, page 8284-8292. Computer Vision Foundation / IEEE, (2020)In Search of Projectively Equivariant Neural Networks., , and . CoRR, (2022)Privacy-Preserving Representations are not Enough: Recovering Scene Content from Camera Poses., , , and . CVPR, page 13132-13141. IEEE, (2023)Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors., and . BMVC, BMVA Press, (2020)Improving Open-Set Semi-Supervised Learning with Self-Supervision., , , and . WACV, page 2345-2354. IEEE, (2024)