3 citations · 4 across the 2 of their papers we have counts for
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cs.CV2018
Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image
David Fuentes-Jimenez, David Casillas-Perez, Daniel Pizarro +2
We present Deep Shape-from-Template (DeepSfT), a novel Deep Neural Network (DNN) method for solving real-time automatic registration and 3D reconstruction of a deformable object vi…
cs.CV2018
Model-based active learning to detect isometric deformable objects in the wild with deep architectures
Shrinivasan Sankar, Adrien Bartoli
In the recent past, algorithms based on Convolutional Neural Networks (CNNs) have achieved significant milestones in object recognition. With large examples of each object class, s…