Kevin Bailly

Orcid: 0000-0001-7802-3673

According to our database1, Kevin Bailly authored at least 71 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Prior-Guided Attribution of Deep Neural Networks for Obstetrics and Gynecology.
IEEE J. Biomed. Health Informatics, February, 2024

2023
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Multi-Order Networks for Action Unit Detection.
IEEE Trans. Affect. Comput., 2023

THIN: THrowable Information Networks and Application for Facial Expression Recognition in the Wild.
IEEE Trans. Affect. Comput., 2023

PIPE : Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions.
CoRR, 2023

Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks.
CoRR, 2023

Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings.
CoRR, 2023

MultIOD: Rehearsal-free Multihead Incremental Object Detector.
CoRR, 2023

Gradient-Based Post-Training Quantization: Challenging the Status Quo.
CoRR, 2023

NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search.
CoRR, 2023

SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference.
CoRR, 2023

Fighting noise and imbalance in Action Unit detection problems.
CoRR, 2023

SPIQ: Data-Free Per-Channel Static Input Quantization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

REx: Data-Free Residual Quantization Error Expansion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PowerQuant: Automorphism Search for Non-Uniform Quantization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization.
Proceedings of the IEEE International Conference on Image Processing, 2023

Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels.
Proceedings of the IEEE International Conference on Image Processing, 2023

Adversarial Deep Multi-Task Learning Using Semantically Orthogonal Spaces and Application to Facial Attributes Prediction.
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

RULe: Relocalization-Uniformization-Landmark Estimation Network for Real-Time Face Alignment in Degraded Conditions.
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

2022
An extensive appraisal of weight-sharing on the NAS-Bench-101 benchmark.
Neurocomputing, 2022

Multi-Task Transformer with uncertainty modelling for Face Based Affective Computing.
CoRR, 2022

Multi-label Transformer for Action Unit Detection.
CoRR, 2022

SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Privileged Attribution Constrained Deep Networks for Facial Expression Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Neural Architecture Search for Fracture Classification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks.
CoRR, 2021

RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Tree-Gated Deep Mixture-of-Experts for Pose-Robust Face Alignment.
IEEE Trans. Biom. Behav. Identity Sci., 2020

The POTUS Corpus, a Database of Weekly Addresses for the Study of Stance in Politics and Virtual Agents.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Face and Gesture Analysis for Health Informatics.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

MoDuL: Deep Modal and Dual Landmark-wise Gated Network for Facial Expression Recognition.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

2019
Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests.
IEEE Trans. Affect. Comput., 2019

On Automatically Assessing Children's Facial Expressions Quality: A Study, Database, and Protocol.
Frontiers Comput. Sci., 2019

DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

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

2018
Face alignment with cascaded semi-parametric deep greedy neural forests.
Pattern Recognit. Lett., 2018

Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit Detection.
Int. J. Comput. Vis., 2018

JEMImE: A Serious Game to Teach Children with ASD How to Adequately Produce Facial Expressions.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Investigating Deep Neural Forests for Facial Expression Recognition.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017
Règles d'associations temporelles de signaux sociaux pour la synthèse d'agents conversationnels animés. Application aux attitudes sociales.
Rev. d'Intelligence Artif., 2017

Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests.
CoRR, 2017

Serious games to teach social interactions and emotions to individuals with autism spectrum disorders (ASD).
Comput. Educ., 2017

Sequential recognition of in-hand object shape using a collection of neural forests.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Multi-Output Random Forests for Facial Action Unit Detection.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016
Real-time facial action unit intensity prediction with regularized metric learning.
Image Vis. Comput., 2016

Using Temporal Association Rules for the Synthesis of Embodied Conversational Agents with a Specific Stance.
Proceedings of the Intelligent Virtual Agents - 16th International Conference, 2016

On leveraging crowdsourced data for automatic perceived stress detection.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

2015
Pairwise Conditional Random Forests for Facial Expression Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Dynamic facial expression recognition by joint static and multi-time gap transition classification.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

Facial Action Unit intensity prediction via Hard Multi-Task Metric Learning for Kernel Regression.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2014
Impact of action unit detection in automatic emotion recognition.
Pattern Anal. Appl., 2014

A Pose-Adaptive Constrained Local Model for Accurate Head Pose Tracking.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Multi-Kernel Appearance Model.
Image Vis. Comput., 2013

Locating facial landmarks with binary map cross-correlations.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Learning global cost function for face alignment.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Robust continuous prediction of human emotions using multiscale dynamic cues.
Proceedings of the International Conference on Multimodal Interaction, 2012

2011
Combining AAM coefficients with LGBP histograms in the multi-kernel SVM framework to detect facial action units.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Multiple kernel learning SVM and statistical validation for facial landmark detection.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

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).
PhD thesis, 2010

Automatic Facial Action Detection Using Histogram Variation Between Emotional States.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Boosting feature selection for Neural Network based regression.
Neural Networks, 2009

BISAR: Boosted input selection algorithm for regression.
Proceedings of the International Joint Conference on Neural Networks, 2009

Head pan angle estimation by a nonlinear regression on selected features.
Proceedings of the International Conference on Image Processing, 2009

Head Pose Estimation by a Stepwise Nonlinear Regression.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2008
Recursive Shape and Pose Determination Using Deformable Model.
Proceedings of the Progress in Pattern Recognition, 2008

Head Pose Determination Using Synthetic Images.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2008


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