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Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning., , , , , , and . CoRR, (2023)Spectral Unions of Partial Deformable 3D Shapes., , , , , , , and . CoRR, (2021)Object Tracking via Dynamic Feature Selection Processes., and . CoRR, (2016)Localized Manifold Harmonics for Spectral Shape Analysis., , , and . Comput. Graph. Forum, 37 (6): 20-34 (2018)Learning Spectral Unions of Partial Deformable 3D Shapes., , , , , , , and . Comput. Graph. Forum, 41 (2): 407-417 (2022)Reposing and Retargeting Unrigged Characters with Intrinsic-extrinsic Transfer., , , and . STAG, page 21-30. Eurographics Association, (2021)Instant recovery of shape from spectrum via latent space connections., , , , , and . 3DV, page 120-129. IEEE, (2020)Online Feature Selection for Visual Tracking., and . BMVC, BMVA Press, (2016)Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering., , , , , , , and . ICCV, page 4270-4279. IEEE Computer Society, (2017)Does Stable Diffusion Dream of Electric Sheep., , and . ISD, volume 3511 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)