16 citations · 52 across the 14 of their papers we have counts for
3 papers · 1 filter
Can We Use Neural Regularization to Solve Depth Super-Resolution?
Milena Gazdieva, Oleg Voynov, Alexey Artemov +3
Depth maps captured with commodity sensors often require super-resolution to be used in applications. In this work we study a super-resolution approach based on a variational probl…
Geometric Attention for Prediction of Differential Properties in 3D Point Clouds
Albert Matveev, Alexey Artemov, Denis Zorin +1
Estimation of differential geometric quantities in discrete 3D data representations is one of the crucial steps in the geometry processing pipeline. Specifically, estimating normal…
Automatic Construction of a Recurrent Neural Network based Classifier for Vehicle Passage Detection
Evgeny Burnaev, Ivan Koptelov, German Novikov +1
Recurrent Neural Networks (RNNs) are extensively used for time-series modeling and prediction. We propose an approach for automatic construction of a binary classifier based on Lon…