Geometry-aware Deep Network for Single-Image Novel View Synthesis

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Geometry-aware Deep Network for Single-Image Novel View Synthesis

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Towards learning-based denoising of light fields

Artificial Neural Network Training on an Optical Processor via Direct Feedback Alignment

3D reconstruction of curvilinear one-dimensional objects viewed in transmission electron microscopy

Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction

Estimating pollution spread in water networks as a Schrödinger bridge problem with partial information

Wind farm layout and unconstrained hub height optimization using genetic algorithms applied to different power densities

Short-term dynamics of drainage density based on a combination of channel flow state surveys and water level measurements

Application of optimal spline subspaces for the removal of spurious outliers in isogeometric discretizations

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The Jordan property for local fundamental groups

Functional estimation of anisotropic covariance and autocovariance operators on the sphere