Name
Affiliation
Papers
ARNAUD DAPOGNY
Univ Paris 06, Sorbonne Univ, CNRS, ISIR UMR 7222, 4 Pl Jussieu, F-75005 Paris, France
19
Collaborators
Citations 
PageRank 
26
42
7.06
Referers 
Referees 
References 
129
247
135
Search Limit
100247
Title
Citations
PageRank
Year
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding.00.342022
PLOP: Learning without Forgetting for Continual Semantic Segmentation00.342021
Tree-Gated Deep Mixture-of-Experts for Pose-Robust Face Alignment00.342020
MoDuL: Deep Modal and Dual Landmark-wise Gated Network for Facial Expression Recognition00.342020
The Missing Data Encoder: Cross-Channel Image Completion With Hide-And-Seek Adversarial Network00.342020
The Missing Data Encoder: Cross-Channel Image Completion\\with Hide-And-Seek Adversarial Network.00.342019
SEMEDA: Enhancing segmentation precision with semantic edge aware loss20.372019
DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild.20.352019
On Automatically Assessing Children'S Facial Expressions Quality: A Study, Database, And Protocol00.342019
Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild00.342019
Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit detection.30.382018
Jemime: A Serious Game To Teach Children With Asd How To Adequately Produce Facial Expressions00.342018
Investigating Deep Neural Forests for Facial Expression Recognition10.342018
Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests.00.342018
Multi-Output Random Forests for Facial Action Unit Detection00.342017
Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests.50.402016
On leveraging crowdsourced data for automatic perceived stress detection.30.372016
Dynamic facial expression recognition by joint static and multi-time gap transition classification50.432015
Pairwise Conditional Random Forests for Facial Expression Recognition210.692015