Class-Incremental learning (CIL) is the ability of artificial agents to
...
Quantization has become a crucial step for the efficient deployment of d...
Deep neural network (DNN) deployment has been confined to larger hardwar...
Deep neural networks (DNNs) demonstrate outstanding performance across m...
Deep neural networks (DNNs) offer the highest performance in a wide rang...
The rising performance of deep neural networks is often empirically
attr...
Action Unit (AU) detection aims at automatically caracterizing facial
ex...
Deep neural networks (DNNs) are nowadays ubiquitous in many domains such...
Face based affective computing consists in detecting emotions from face
...
The leap in performance in state-of-the-art computer vision methods is
a...
Batch-Normalization (BN) layers have become fundamental components in th...
Deep neural networks (DNNs) are nowadays ubiquitous in the computer visi...
Computationally expensive neural networks are ubiquitous in computer vis...
Facial Expression Recognition (FER) is crucial in many research domains
...
Action Unit (AU) Detection is the branch of affective computing that aim...
Deep multi-task methods, where several tasks are learned within a single...
Pruning Deep Neural Networks (DNNs) is a prominent field of study in the...
Deep Neural Networks (DNNs) are ubiquitous in today's computer vision
la...
For a number of tasks solved using deep learning techniques, an exogenou...
From medical research to gaming applications, gaze estimation is becomin...
Head pose estimation and face alignment constitute a backbone preprocess...
Face alignment consists of aligning a shape model on a face image. It is...
Face alignment consists in aligning a shape model on a face in an image....
Face Alignment is an active computer vision domain, that consists in
loc...
Face alignment is an active topic in computer vision, consisting in alig...