Recent breakthroughs in geometric Deep Learning (DL) and the availabilit...
Deploying deep learning neural networks on edge devices, to accomplish t...
In recent years, deep learning (DL) has shown great potential in the fie...
3D scanning as a technique to digitize objects in reality and create the...
In this paper, a discriminator-free adversarial-based Unsupervised Domai...
3D reverse engineering is a long sought-after, yet not completely achiev...
Reconstructing 3D human body shapes from 3D partial textured scans remai...
In this paper, we propose a new deep learning-based approach for
disenta...
Face identification/recognition has significantly advanced over the past...
The SHApe Recovery from Partial textured 3D scans challenge, SHARP 2020,...
We propose 3DBooSTeR, a novel method to recover a textured 3D body mesh ...
In this work, we propose a novel approach for generating videos of the s...
In this paper, we propose a new approach for facial expression recogniti...
In this paper, we propose a novel space-time geometric representation of...
In this paper, covariance matrices are exploited to encode the deep
conv...
In this paper, we study the problem of facial expression recognition usi...