3 papers
cs.CV2026
Unsupervised SE(3) Disentanglement for in situ Macromolecular Morphology Identification from Cryo-Electron Tomography
Mostofa Rafid Uddin, Mahek Vora, Qifeng Wu +2
Cryo-electron tomography (cryo-ET) provides direct 3D visualization of macromolecules inside the cell, enabling analysis of their in situ morphology. This morphology can be regarde…
cs.CV2025
DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects
Mostofa Rafid Uddin, Jana Armouti, Umong Sain +3
In this work, we propose a disentangled latent optimization-based method for parameterizing grouped deforming 3D objects into shape and deformation factors in an unsupervised manne…
cs.CV2025
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
Mostofa Rafid Uddin, Min Xu
Unsupervised disentanglement of content and transformation is significantly important for analyzing shape-focused scientific image datasets, given their efficacy in solving downstr…