71 citations · 96 across the 29 of their papers we have counts for
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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…
SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss
Yifu Chen, Arnaud Dapogny, Matthieu Cord
While nowadays deep neural networks achieve impressive performances on semantic segmentation tasks, they are usually trained by optimizing pixel-wise losses such as cross-entropy.…
The Missing Data Encoder: Cross-Channel Image Completion\\with Hide-And-Seek Adversarial Network
Arnaud Dapogny, Matthieu Cord, Patrick Perez
Image completion is the problem of generating whole images from fragments only. It encompasses inpainting (generating a patch given its surrounding), reverse inpainting/extrapolati…
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…