Head Pose Determination Using Synthetic Images. - Kevin Bailly; Maurice Milgram (ACIVS, 2008)

Recursive Shape and Pose Determination Using Deformable Model. - Kevin Bailly; Maurice Milgram (CIARP, 2008)

Head Pose Estimation by a Stepwise Nonlinear Regression. - Kevin Bailly; Maurice Milgram; Philippe Phothisane (CAIP, 2009)

Head pan angle estimation by a nonlinear regression on selected features. - Kevin Bailly; Maurice Milgram (ICIP, 2009)

BISAR: Boosted input selection algorithm for regression. - Kevin Bailly; Maurice Milgram (IJCNN, 2009)

Boosting feature selection for Neural Network based regression. - Kevin Bailly; Maurice Milgram (Neural Networks, 2009)

Automatic Facial Action Detection Using Histogram Variation Between Emotional States. - Thibaud Senechal; Kevin Bailly; Lionel Prevost (ICPR, 2010)

Méthodes d'apprentissage pour l'estimation de la pose de la tête dans des images monoculaires. (Learning-based head pose estimation in monocular images). - Kevin Bailly (2010)

Multiple kernel learning SVM and statistical validation for facial landmark detection. - Vincent Rapp; Thibaud Senechal; Kevin Bailly; Lionel Prevost (FG, 2011)

Combining AAM coefficients with LGBP histograms in the multi-kernel SVM framework to detect facial action units. - Thibaud Senechal; Vincent Rapp; Hanan Salam; Renaud Séguier; Kevin Bailly; Lionel Prevost (FG, 2011)

Robust continuous prediction of human emotions using multiscale dynamic cues. - Jérémie Nicolle; Vincent Rapp; Kevin Bailly; Lionel Prevost; Mohamed Chetouani (ICMI, 2012)

Learning global cost function for face alignment. - Kevin Bailly; Maurice Milgram; Philippe Phothisane; Erwan Bigorgne (ICPR, 2012)

Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning. - Thibaud Senechal; Vincent Rapp; Hanan Salam; Renaud Séguier; Kevin Bailly; Lionel Prevost (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Locating facial landmarks with binary map cross-correlations. - Jérémie Nicolle; Kevin Bailly; Vincent Rapp; Mohamed Chetouani (ICIP, 2013)

Multi-Kernel Appearance Model. - Vincent Rapp; Kevin Bailly; Thibaud Senechal; Lionel Prevost (Image Vis. Comput., 2013)

A Pose-Adaptive Constrained Local Model for Accurate Head Pose Tracking. - Lucas Zamuner; Kevin Bailly; Erwan Bigorgne (ICPR, 2014)

Impact of action unit detection in automatic emotion recognition. - Thibaud Senechal; Kevin Bailly; Lionel Prevost (Pattern Anal. Appl., 2014)

Facial Action Unit intensity prediction via Hard Multi-Task Metric Learning for Kernel Regression. - Jérémie Nicolle; Kevin Bailly; Mohamed Chetouani (FG, 2015)

Dynamic facial expression recognition by joint static and multi-time gap transition classification. - Arnaud Dapogny; Kevin Bailly; Séverine Dubuisson (FG, 2015)

Pairwise Conditional Random Forests for Facial Expression Recognition. - Arnaud Dapogny; Kevin Bailly; Séverine Dubuisson (ICCV, 2015)

On leveraging crowdsourced data for automatic perceived stress detection. - Jonathan Aigrain; Arnaud Dapogny; Kevin Bailly; Séverine Dubuisson; Marcin Detyniecki; Mohamed Chetouani (ICMI, 2016)

Using Temporal Association Rules for the Synthesis of Embodied Conversational Agents with a Specific Stance. - Thomas Janssoone; Chloé Clavel; Kevin Bailly; Gaël Richard (IVA, 2016)

Real-time facial action unit intensity prediction with regularized metric learning. - Jérémie Nicolle; Kevin Bailly; Mohamed Chetouani (Image Vis. Comput., 2016)

Multi-Output Random Forests for Facial Action Unit Detection. - Arnaud Dapogny; Kevin Bailly; Séverine Dubuisson (FG, 2017)

Sequential recognition of in-hand object shape using a collection of neural forests. - Alex Vásquez; Arnaud Dapogny; Kevin Bailly; Véronique Perdereau (IROS, 2017)

Serious games to teach social interactions and emotions to individuals with autism spectrum disorders (ASD). - Charline Grossard; Ouriel Grynszpan; Sylvie Serret; Anne-Lise Jouen; Kevin Bailly; David Cohen (Comput. Educ., 2017)

Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests. - Arnaud Dapogny; Kevin Bailly; Séverine Dubuisson (CoRR, 2017)

Règles d'associations temporelles de signaux sociaux pour la synthèse d'agents conversationnels animés. Application aux attitudes sociales. - Thomas Janssoone; Chloé Clavel; Kevin Bailly; Gaël Richard (Rev. d'Intelligence Artif., 2017)

Investigating Deep Neural Forests for Facial Expression Recognition. - Arnaud Dapogny; Kevin Bailly (FG, 2018)

JEMImE: A Serious Game to Teach Children with ASD How to Adequately Produce Facial Expressions. - Arnaud Dapogny; Charline Grossard; Stéphanie Hun; Sylvie Serret; Jeremy Bourgeois; Hedy Jean-Marie; Pierre Foulon; Huaxiong Ding; Liming Chen 002; Séverine Dubuisson; Ouriel Grynszpan; David Cohen; et al. (FG, 2018)

Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit Detection. - Arnaud Dapogny; Kevin Bailly; Séverine Dubuisson (Int. J. Comput. Vis., 2018)

Face alignment with cascaded semi-parametric deep greedy neural forests. - Arnaud Dapogny; Kevin Bailly (Pattern Recognit. Lett., 2018)

Apprentissage automatique pour l'analyse des expressions faciales. (Machine learning for facial expression analysis). - Kevin Bailly (2019)

Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild. - Estephe Arnaud; Arnaud Dapogny; Kevin Bailly (FG, 2019)

DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild. - Arnaud Dapogny; Matthieu Cord; Kevin Bailly (ICCV, 2019)

On Automatically Assessing Children's Facial Expressions Quality: A Study, Database, and Protocol. - Arnaud Dapogny; Charline Grossard; Stéphanie Hun; Sylvie Serret; Ouriel Grynszpan; Séverine Dubuisson; David Cohen; Kevin Bailly (Frontiers Comput. Sci., 2019)

Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests. - Arnaud Dapogny; Kevin Bailly; Séverine Dubuisson (IEEE Trans. Affect. Comput., 2019)

MoDuL: Deep Modal and Dual Landmark-wise Gated Network for Facial Expression Recognition. - Sacha Bernheim; Estèphe Arnaud; Arnaud Dapogny; Kévin Bailly (FG, 2020)

Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion. - Arnaud Dapogny; Kevin Bailly; Matthieu Cord (FG, 2020)

DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation. - Edouard Yvinec; Arnaud Dapogny; Kévin Bailly (FG, 2020)

Face and Gesture Analysis for Health Informatics. - Zakia Hammal; Di Huang 001; Kévin Bailly; Liming Chen 002; Mohamed Daoudi (ICMI, 2020)

The POTUS Corpus, a Database of Weekly Addresses for the Study of Stance in Politics and Virtual Agents. - Thomas Janssoone; Kévin Bailly; Gaël Richard; Chloé Clavel (LREC, 2020)

Tree-Gated Deep Mixture-of-Experts for Pose-Robust Face Alignment. - Estephe Arnaud; Arnaud Dapogny; Kevin Bailly (IEEE Trans. Biom. Behav. Identity Sci., 2020)

RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks. - Edouard Yvinec; Arnaud Dapogny; Matthieu Cord; Kevin Bailly (NeurIPS, 2021)

RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks. - Edouard Yvinec; Arnaud Dapogny; Matthieu Cord; Kevin Bailly (CoRR, 2021)

Neural Architecture Search for Fracture Classification. - Aloïs Pourchot; Kévin Bailly; Alexis Ducarouge; Olivier Sigaud (ICIP, 2022)

Privileged Attribution Constrained Deep Networks for Facial Expression Recognition. - Jules Bonnard; Arnaud Dapogny; Ferdinand Dhombres; Kevin Bailly (ICPR, 2022)

To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding. - Edouard Yvinec; Arnaud Dapogny; Kevin Bailly (IJCAI, 2022)

SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. - Edouard Yvinec; Arnaud Dapogny; Matthieu Cord; Kevin Bailly (NeurIPS, 2022)

Multi-label Transformer for Action Unit Detection. - Gauthier Tallec; Edouard Yvinec; Arnaud Dapogny; Kevin Bailly (CoRR, 2022)

Multi-Task Transformer with uncertainty modelling for Face Based Affective Computing. - Gauthier Tallec; Jules Bonnard; Arnaud Dapogny; Kévin Bailly (CoRR, 2022)

An extensive appraisal of weight-sharing on the NAS-Bench-101 benchmark. - Aloïs Pourchot; Kévin Bailly; Alexis Ducarouge; Olivier Sigaud (Neurocomputing, 2022)

RULe: Relocalization-Uniformization-Landmark Estimation Network for Real-Time Face Alignment in Degraded Conditions. - Arnaud Dapogny; Gauthier Tallec; Jules Bonnard; Edouard Yvinec; Kévin Bailly (FG, 2023)

Adversarial Deep Multi-Task Learning Using Semantically Orthogonal Spaces and Application to Facial Attributes Prediction. - Arnaud Dapogny; Gauthier Tallec; Jules Bonnard; Edouard Yvinec; Kévin Bailly (FG, 2023)

Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels. - Gauthier Tallec; Edouard Yvinec; Arnaud Dapogny; Kevin Bailly (ICIP, 2023)

Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization. - Edouard Yvinec; Arnaud Dapogny; Kevin Bailly (ICIP, 2023)

PowerQuant: Automorphism Search for Non-Uniform Quantization. - Edouard Yvinec; Arnaud Dapogny; Matthieu Cord; Kevin Bailly (ICLR, 2023)

REx: Data-Free Residual Quantization Error Expansion. - Edouard Yvinec; Arnaud Dapogny; Matthieu Cord; Kevin Bailly (NeurIPS, 2023)

SPIQ: Data-Free Per-Channel Static Input Quantization. - Edouard Yvinec; Arnaud Dapogny; Matthieu Cord; Kevin Bailly (WACV, 2023)

Fighting noise and imbalance in Action Unit detection problems. - Gauthier Tallec; Arnaud Dapogny; Kevin Bailly (CoRR, 2023)

SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference. - Edouard Yvinec; Arnaud Dapogny; Kevin Bailly (CoRR, 2023)

NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search. - Edouard Yvinec; Arnaud Dapogny; Kevin Bailly (CoRR, 2023)

Gradient-Based Post-Training Quantization: Challenging the Status Quo. - Edouard Yvinec; Arnaud Dapogny; Kevin Bailly (CoRR, 2023)

Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks. - Rémi Ouazan Reboul; Edouard Yvinec; Arnaud Dapogny; Kevin Bailly (CoRR, 2023)

PIPE : Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions. - Edouard Yvinec; Arnaud Dapogny; Kevin Bailly (CoRR, 2023)

THIN: THrowable Information Networks and Application for Facial Expression Recognition in the Wild. - Estèphe Arnaud; Arnaud Dapogny; Kévin Bailly (IEEE Trans. Affect. Comput., 2023)

Multi-Order Networks for Action Unit Detection. - Gauthier Tallec; Arnaud Dapogny; Kévin Bailly (IEEE Trans. Affect. Comput., 2023)

RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. - Edouard Yvinec; Arnaud Dapogny; Matthieu Cord; Kevin Bailly (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MultIOD: Rehearsal-free Multihead Incremental Object Detector. - Eden Belouadah; Arnaud Dapogny; Kevin Bailly (CVPR Workshops, 2024)

Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings. - Edouard Yvinec; Arnaud Dapogny; Kevin Bailly (ICLR, 2024)

Ontology-Guided Deep Metric Learning and Applications to Obstetrics. - Jules Bonnard; Arnaud Dapogny; Ferdinand Dhombres; Kévin Bailly (ICPR (9), 2024)

PIPE: Parallelized inference through ensembling of residual quantization expansions. - Edouard Yvinec; Arnaud Dapogny; Kevin Bailly (Pattern Recognit., 2024)

Prior-Guided Attribution of Deep Neural Networks for Obstetrics and Gynecology. - Jules Bonnard; Arnaud Dapogny; Richard Zsamboki; Lucrezia De Braud; Davor Jurkovic; Kévin Bailly; Ferdinand Dhombres (IEEE J. Biomed. Health Informatics, 2024)