Kevin Bailly

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 58

Top Venues

CoRR

NeurIPS

ICCV

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
PIPE: Parallelized inference through ensembling of residual quantization expansions. Pattern Recognit. 154 (2024)
Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings. ICLR (2024)
Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
Fighting over-fitting with quantization for learning deep neural networks on noisy labels. CoRR (2023)
Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
Gradient-Based Post-Training Quantization: Challenging the Status Quo. CoRR (2023)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
PowerQuant: Automorphism Search for Non-Uniform Quantization. ICLR (2023)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
SPIQ: Data-Free Per-Channel Static Input Quantization. WACV (2023)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
REx: Data-Free Residual Quantization Error Expansion. NeurIPS (2023)
Eden Belouadah, Arnaud Dapogny, Kevin Bailly
MultIOD: Rehearsal-free Multihead Incremental Object Detector. CoRR (2023)
Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings. CoRR (2023)
Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
Designing strong baselines for ternary neural network quantization through support and mass equalization. CoRR (2023)
Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search. CoRR (2023)
Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference. CoRR (2023)
Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels. ICIP (2023)
Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization. ICIP (2023)
Gauthier Tallec, Arnaud Dapogny, Kevin Bailly
Fighting noise and imbalance in Action Unit detection problems. CoRR (2023)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
PowerQuant: Automorphism Search for Non-Uniform Quantization. CoRR (2023)
Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
PIPE : Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions. CoRR (2023)
Rémi Ouazan Reboul, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks. CoRR (2023)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Jules Bonnard, Arnaud Dapogny, Ferdinand Dhombres, Kevin Bailly
Privileged Attribution Constrained Deep Networks for Facial Expression Recognition. ICPR (2022)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. CoRR (2022)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
SPIQ: Data-Free Per-Channel Static Input Quantization. CoRR (2022)
Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding. CoRR (2022)
Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding. IJCAI (2022)
Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
Multi-label Transformer for Action Unit Detection. CoRR (2022)
Gauthier Tallec, Arnaud Dapogny, Kevin Bailly
Multi-Order Networks for Action Unit Detection. CoRR (2022)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. NeurIPS (2022)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
REx: Data-Free Residual Quantization Error Expansion. CoRR (2022)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks. CoRR (2021)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks. NeurIPS (2021)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. CoRR (2021)
Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
Tree-Gated Deep Mixture-of-Experts for Pose-Robust Face Alignment. IEEE Trans. Biom. Behav. Identity Sci. 2 (2) (2020)
Arnaud Dapogny, Kevin Bailly, Matthieu Cord
Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion. FG (2020)
Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild. CoRR (2020)
Arnaud Dapogny, Kevin Bailly, Matthieu Cord
DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild. CoRR (2019)
Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild. FG (2019)
Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment. CoRR (2019)
Arnaud Dapogny, Matthieu Cord, Kevin Bailly
DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild. ICCV (2019)
Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild. CoRR (2019)
Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests. IEEE Trans. Affect. Comput. 10 (2) (2019)
Arnaud Dapogny, Charline Grossard, Stéphanie Hun, Sylvie Serret, Ouriel Grynszpan, Séverine Dubuisson, David Cohen, Kevin Bailly
On Automatically Assessing Children's Facial Expressions Quality: A Study, Database, and Protocol. Frontiers Comput. Sci. 1 (2019)
Arnaud Dapogny, Charline Grossard, Stéphanie Hun, Sylvie Serret, Jeremy Bourgeois, Hedy Jean-Marie, Pierre Foulon, Huaxiong Ding, Liming Chen, Séverine Dubuisson, Ouriel Grynszpan, David Cohen, Kevin Bailly
JEMImE: A Serious Game to Teach Children with ASD How to Adequately Produce Facial Expressions. FG (2018)
Arnaud Dapogny, Kevin Bailly
Investigating Deep Neural Forests for Facial Expression Recognition. FG (2018)
Arnaud Dapogny, Kevin Bailly
Face alignment with cascaded semi-parametric deep greedy neural forests. Pattern Recognit. Lett. 102 (2018)
Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit Detection. Int. J. Comput. Vis. 126 (2-4) (2018)
Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests. CoRR (2017)
Alex Vásquez, Arnaud Dapogny, Kevin Bailly, Véronique Perdereau
Sequential recognition of in-hand object shape using a collection of neural forests. IROS (2017)
Charline Grossard, Ouriel Grynszpan, Sylvie Serret, Anne-Lise Jouen, Kevin Bailly, David Cohen
Serious games to teach social interactions and emotions to individuals with autism spectrum disorders (ASD). Comput. Educ. 113 (2017)
Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
Multi-Output Random Forests for Facial Action Unit Detection. FG (2017)
Thomas Janssoone, Chloé Clavel, Kevin Bailly, Gaël Richard
Règles d'associations temporelles de signaux sociaux pour la synthèse d'agents conversationnels animés. Application aux attitudes sociales. Rev. d'Intelligence Artif. 31 (5) (2017)
Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests. CoRR (2016)
Thomas Janssoone, Chloé Clavel, Kevin Bailly, Gaël Richard
Using Temporal Association Rules for the Synthesis of Embodied Conversational Agents with a Specific Stance. IVA (2016)
Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit detection. CoRR (2016)
Jonathan Aigrain, Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson, Marcin Detyniecki, Mohamed Chetouani
On leveraging crowdsourced data for automatic perceived stress detection. ICMI (2016)
Jérémie Nicolle, Kevin Bailly, Mohamed Chetouani
Real-time facial action unit intensity prediction with regularized metric learning. Image Vis. Comput. 52 (2016)
Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
Pairwise Conditional Random Forests for Facial Expression Recognition. ICCV (2015)
Jérémie Nicolle, Kevin Bailly, Mohamed Chetouani
Facial Action Unit intensity prediction via Hard Multi-Task Metric Learning for Kernel Regression. FG (2015)
Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
Dynamic facial expression recognition by joint static and multi-time gap transition classification. FG (2015)
Thibaud Senechal, Kevin Bailly, Lionel Prevost
Impact of action unit detection in automatic emotion recognition. Pattern Anal. Appl. 17 (1) (2014)
Lucas Zamuner, Kevin Bailly, Erwan Bigorgne
A Pose-Adaptive Constrained Local Model for Accurate Head Pose Tracking. ICPR (2014)
Jérémie Nicolle, Kevin Bailly, Vincent Rapp, Mohamed Chetouani
Locating facial landmarks with binary map cross-correlations. ICIP (2013)
Vincent Rapp, Kevin Bailly, Thibaud Senechal, Lionel Prevost
Multi-Kernel Appearance Model. Image Vis. Comput. 31 (8) (2013)
Jérémie Nicolle, Vincent Rapp, Kevin Bailly, Lionel Prevost, Mohamed Chetouani
Robust continuous prediction of human emotions using multiscale dynamic cues. ICMI (2012)
Kevin Bailly, Maurice Milgram, Philippe Phothisane, Erwan Bigorgne
Learning global cost function for face alignment. ICPR (2012)
Thibaud Senechal, Vincent Rapp, Hanan Salam, Renaud Séguier, Kevin Bailly, Lionel Prevost
Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning. IEEE Trans. Syst. Man Cybern. Part B 42 (4) (2012)
Thibaud Senechal, Vincent Rapp, Hanan Salam, Renaud Séguier, Kevin Bailly, Lionel Prevost
Combining AAM coefficients with LGBP histograms in the multi-kernel SVM framework to detect facial action units. FG (2011)
Vincent Rapp, Thibaud Senechal, Kevin Bailly, Lionel Prevost
Multiple kernel learning SVM and statistical validation for facial landmark detection. FG (2011)
Thibaud Senechal, Kevin Bailly, Lionel Prevost
Automatic Facial Action Detection Using Histogram Variation Between Emotional States. ICPR (2010)
Kevin Bailly, Maurice Milgram
BISAR: Boosted input selection algorithm for regression. IJCNN (2009)
Kevin Bailly, Maurice Milgram, Philippe Phothisane
Head Pose Estimation by a Stepwise Nonlinear Regression. CAIP (2009)
Kevin Bailly, Maurice Milgram
Boosting feature selection for Neural Network based regression. Neural Networks 22 (5-6) (2009)
Kevin Bailly, Maurice Milgram
Head pan angle estimation by a nonlinear regression on selected features. ICIP (2009)
Kevin Bailly, Maurice Milgram
Head Pose Determination Using Synthetic Images. ACIVS (2008)
Kevin Bailly, Maurice Milgram
Recursive Shape and Pose Determination Using Deformable Model. CIARP (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kevin Bailly