71 citations · 98 across the 32 of their papers we have counts for
4 papers · 1 filter
PLOP: Learning without Forgetting for Continual Semantic Segmentation
Arthur Douillard, Yifu Chen, Arnaud Dapogny +1
Deep learning approaches are nowadays ubiquitously used to tackle computer vision tasks such as semantic segmentation, requiring large datasets and substantial computational power.…
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild
Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
For a number of machine learning problems, an exogenous variable can be identified such that it heavily influences the appearance of the different classes, and an ideal classifier…
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation
Edouard Yvinec, Arnaud Dapogny, Kévin Bailly
From medical research to gaming applications, gaze estimation is becoming a valuable tool. While there exists a number of hardware-based solutions, recent deep learning-based appro…
Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion
Arnaud Dapogny, Kévin Bailly, Matthieu Cord
Head pose estimation and face alignment constitute a backbone preprocessing for many applications relying on face analysis. While both are closely related tasks, they are generally…