11 citations · 13 across the 6 of their papers we have counts for
6 papers
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…
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…
Training-free CryoET Tomogram Segmentation
Yizhou Zhao, Hengwei Bian, Michael Mu +5
Cryogenic Electron Tomography (CryoET) is a useful imaging technology in structural biology that is hindered by its need for manual annotations, especially in particle picking. Rec…
Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates
Shirley Kokane, Mostofa Rafid Uddin, Min Xu
Transfer learning methods start performing poorly when the complexity of the learning task is increased. Most of these methods calculate the cumulative differences of all the match…
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…
Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization
Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding +5
Cryo-Electron Tomography (cryo-ET) is a 3D imaging technology that enables the visualization of subcellular structures in situ at near-atomic resolution. Cellular cryo-ET images he…