1 citations · 1 across the 3 of their papers we have counts for
6 papers
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…
Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment
Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
Face alignment consists of aligning a shape model on a face image. It is an active domain in computer vision as it is a preprocessing for a number of face analysis and synthesis ap…
Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild
Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
Face alignment consists in aligning a shape model on a face in an image. It is an active domain in computer vision as it is a preprocessing for applications like facial expression…
DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild
Arnaud Dapogny, Kévin Bailly, Matthieu Cord
Face Alignment is an active computer vision domain, that consists in localizing a number of facial landmarks that vary across datasets. State-of-the-art face alignment methods eith…
Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests
Arnaud Dapogny, Kévin Bailly, Séverine Dubuisson
Face alignment is an active topic in computer vision, consisting in aligning a shape model on the face. To this end, most modern approaches refine the shape in a cascaded manner, s…