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Disentangling high-level factors and their features with conditional vector quantized VAEs.

, , , and . Pattern Recognit. Lett., (August 2023)

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Unsupervised Nonlinear Manifold Learning., , , and . ICIP (2), page 109-112. IEEE, (2007)Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models., , and . ICIP, page 505-508. IEEE, (2000)Parallel Sampling with Stochastic Differential Equations for 3D Deformable Matching of Medical Images., , and . PDPTA, page 40-48. CSREA Press, (2002)Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields., and . IEEE Trans. Pattern Anal. Mach. Intell., 15 (12): 1217-1232 (1993)3D deformable image matching: a hierarchical approach over nested subspaces., , and . Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures., , , and . Medical Imaging: Image Processing, volume 3338 of SPIE Proceedings, SPIE, (1998)Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models., , , , and . IEEE Trans. Med. Imaging, 24 (2): 263-276 (2005)Affine-Invariant Geometric Shape Priors for Region-Based Active Contours., , and . IEEE Trans. Pattern Anal. Mach. Intell., 28 (8): 1352-1357 (2006)3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization., , , and . IEEE Trans. Image Processing, 14 (5): 553-566 (2005)Accurate Inversion of 3-D Transformation Fields., , , and . IEEE Trans. Image Processing, 17 (10): 1963-1968 (2008)