Abstract: We introduce a spatially-consistent implicit f unction representation (sci-f) for high-resolution volumetric computed tomography (CT) image recovery from uni- and bi-planar X-ray images. We ...
A scholar from Kenyon College, Professor of Mathematics Carol Schumacher, is coming to Bates to give two back-to-back talks ...
Abstract: In this paper, we consider the problem of reference tracking in uncertain nonlinear systems. A neural State-Space Model (NSSM) is used to approximate the nonlinear system, where a deep ...
Abstract We present Shap-E, a conditional generative model for 3D assets. Unlike recent work on 3D generative models which produce a single output representation, Shap-E directly generates the ...
3D human shape reconstruction under severe occlusion due to human-object or human-human interaction is a challenging problem. Parametric models i.e. SMPL(- X), which are based on the statistics across ...
How likely you think something is to happen depends on what you already believe about the circumstances. That is the simple concept behind Bayes' rule, an approach to calculating probabilities, first ...
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