Research explainers
The questions, ideas and evaluated scope behind published research in medical imaging, 3D reconstruction and building IoT.
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Anatomy-Preserving Augmentation via Generative AI
A workflow for augmenting medical training images with anatomical controls and generated-sample selection.
Separating Shape and Reflectance from a Single Image
A self-supervised method estimating scene properties like reflectance and shape from a single photo using relighting constraints.
Building IoT Prediction with Sparse Graphs and Physical Constraints
Spatiotemporal prediction that limits graph neighbors and incorporates bandwidth and connection constraints into training.