ArticleProceedings. IEEE International Conference on Computer Vision2025
Unsupervised Identification of Protein Compositions and Conformations via Implicit Content-Transformation Disentanglement.
Article in Proceedings. IEEE International Conference on Computer Vision, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
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 accurate identification. By modeling compositions and conformations as content and transformation, the task can be reduced to disentangling content and transformation. The existing disentangling methods require an explicit parametric form for the transformation, which is unavailable for conformation, making these methods unsuitable. To overcome this limitation, we propose
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