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Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions.

, , , and . EMMCVPR, volume 8932 of Lecture Notes in Computer Science, page 406-420. Springer, (2014)

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Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction, , , , , and . (2021)cite arxiv:2109.00512.DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension., , , , and . ICCV, page 11709-11719. IEEE, (2021)KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos., , , , , , , , , and . CVPR, page 5585-5594. IEEE, (2022)Unsupervised Learning of 3D Object Categories from Videos in the Wild, , , , , , and . (2021)cite arxiv:2103.16552.Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories., , , , , , and . CoRR, (2022)Replay: Multi-modal Multi-view Acted Videos for Casual Holography., , , , , , , , and . ICCV, page 20281-20291. IEEE, (2023)Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction., , , , , and . ICCV, page 10881-10891. IEEE, (2021)Unsupervised Learning of 3D Object Categories From Videos in the Wild., , , , , , and . CVPR, page 4700-4709. Computer Vision Foundation / IEEE, (2021)Cutting-Plane Training of Non-associative Markov Network for 3D Point Cloud Segmentation., and . 3DIMPVT, page 1-8. IEEE Computer Society, (2011)Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories., , , , , , and . CVPR, page 4881-4891. IEEE, (2023)