Jana Armouti — accepted AI-conference papers

2026

DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects

Mostofa Rafid Uddin, Jana Armouti, Umong Sain, Md Asib Rahman, Xingjian Li, Min Xu

AAAI 2026technical

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 manner. Our approach involves the joint optimization of a generator network along with the shape and deformation factors, sup

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2025

Unsupervised Identification of Protein Compositions and Conformations via Implicit Content-Transformation Disentanglement

Mostofa Rafid Uddin, Jana Armouti, Min Xu

ICCV 2025poster

Identifying different protein compositions and conformations from microscopic images of protein mixtures is a challenging open problem. We address this through disentangled representation learning, where separating protein compositions and conformations in an intermediate latent space enables accura…

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