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Kevin Bailly
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2020 – today
- 2024
- [j18]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
PIPE: Parallelized inference through ensembling of residual quantization expansions. Pattern Recognit. 154: 110571 (2024) - [j17]Jules Bonnard, Arnaud Dapogny, Richard Zsamboki, Lucrezia De Braud, Davor Jurkovic, Kévin Bailly, Ferdinand Dhombres:
Prior-Guided Attribution of Deep Neural Networks for Obstetrics and Gynecology. IEEE J. Biomed. Health Informatics 28(2): 870-880 (2024) - [c42]Eden Belouadah, Arnaud Dapogny, Kevin Bailly:
MultIOD: Rehearsal-free Multihead Incremental Object Detector. CVPR Workshops 2024: 4107-4117 - [c41]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings. ICLR 2024 - 2023
- [j16]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): 3664-3676 (2023) - [j15]Estèphe Arnaud, Arnaud Dapogny, Kévin Bailly:
THIN: THrowable Information Networks and Application for Facial Expression Recognition in the Wild. IEEE Trans. Affect. Comput. 14(3): 2336-2348 (2023) - [j14]Gauthier Tallec, Arnaud Dapogny, Kévin Bailly:
Multi-Order Networks for Action Unit Detection. IEEE Trans. Affect. Comput. 14(4): 2876-2888 (2023) - [c40]Arnaud Dapogny, Gauthier Tallec, Jules Bonnard, Edouard Yvinec, Kévin Bailly:
RULe: Relocalization-Uniformization-Landmark Estimation Network for Real-Time Face Alignment in Degraded Conditions. FG 2023: 1-8 - [c39]Arnaud Dapogny, Gauthier Tallec, Jules Bonnard, Edouard Yvinec, Kévin Bailly:
Adversarial Deep Multi-Task Learning Using Semantically Orthogonal Spaces and Application to Facial Attributes Prediction. FG 2023: 1-8 - [c38]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization. ICIP 2023: 540-544 - [c37]Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels. ICIP 2023: 575-579 - [c36]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
PowerQuant: Automorphism Search for Non-Uniform Quantization. ICLR 2023 - [c35]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
REx: Data-Free Residual Quantization Error Expansion. NeurIPS 2023 - [c34]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SPIQ: Data-Free Per-Channel Static Input Quantization. WACV 2023: 3858-3867 - [i30]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
PowerQuant: Automorphism Search for Non-Uniform Quantization. CoRR abs/2301.09858 (2023) - [i29]Gauthier Tallec, Arnaud Dapogny, Kevin Bailly:
Fighting noise and imbalance in Action Unit detection problems. CoRR abs/2303.02994 (2023) - [i28]Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Fighting over-fitting with quantization for learning deep neural networks on noisy labels. CoRR abs/2303.11803 (2023) - [i27]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Designing strong baselines for ternary neural network quantization through support and mass equalization. CoRR abs/2306.17442 (2023) - [i26]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference. CoRR abs/2308.04753 (2023) - [i25]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search. CoRR abs/2308.05600 (2023) - [i24]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Gradient-Based Post-Training Quantization: Challenging the Status Quo. CoRR abs/2308.07662 (2023) - [i23]Eden Belouadah, Arnaud Dapogny, Kevin Bailly:
MultIOD: Rehearsal-free Multihead Incremental Object Detector. CoRR abs/2309.05334 (2023) - [i22]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings. CoRR abs/2309.17361 (2023) - [i21]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 abs/2311.10549 (2023) - [i20]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
PIPE : Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions. CoRR abs/2311.15806 (2023) - 2022
- [j13]Aloïs Pourchot, Kévin Bailly, Alexis Ducarouge, Olivier Sigaud:
An extensive appraisal of weight-sharing on the NAS-Bench-101 benchmark. Neurocomputing 498: 28-42 (2022) - [c33]Aloïs Pourchot, Kévin Bailly, Alexis Ducarouge, Olivier Sigaud:
Neural Architecture Search for Fracture Classification. ICIP 2022: 3226-3230 - [c32]Jules Bonnard, Arnaud Dapogny, Ferdinand Dhombres, Kevin Bailly:
Privileged Attribution Constrained Deep Networks for Facial Expression Recognition. ICPR 2022: 1055-1061 - [c31]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding. IJCAI 2022: 1601-1607 - [c30]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. NeurIPS 2022 - [i19]Gauthier Tallec, Arnaud Dapogny, Kevin Bailly:
Multi-Order Networks for Action Unit Detection. CoRR abs/2202.00446 (2022) - [i18]Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Multi-label Transformer for Action Unit Detection. CoRR abs/2203.12531 (2022) - [i17]Jules Bonnard, Arnaud Dapogny, Ferdinand Dhombres, Kévin Bailly:
Privileged Attribution Constrained Deep Networks for Facial Expression Recognition. CoRR abs/2203.12905 (2022) - [i16]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SPIQ: Data-Free Per-Channel Static Input Quantization. CoRR abs/2203.14642 (2022) - [i15]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
REx: Data-Free Residual Quantization Error Expansion. CoRR abs/2203.14645 (2022) - [i14]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding. CoRR abs/2203.14646 (2022) - [i13]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. CoRR abs/2207.04089 (2022) - [i12]Gauthier Tallec, Jules Bonnard, Arnaud Dapogny, Kévin Bailly:
Multi-Task Transformer with uncertainty modelling for Face Based Affective Computing. CoRR abs/2208.03506 (2022) - 2021
- [c29]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks. NeurIPS 2021: 20863-20873 - [i11]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks. CoRR abs/2105.14797 (2021) - [i10]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. CoRR abs/2110.01397 (2021) - 2020
- [j12]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): 122-132 (2020) - [c28]Edouard Yvinec, Arnaud Dapogny, Kévin Bailly:
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation. FG 2020: 146-152 - [c27]Sacha Bernheim, Estèphe Arnaud, Arnaud Dapogny, Kévin Bailly:
MoDuL: Deep Modal and Dual Landmark-wise Gated Network for Facial Expression Recognition. FG 2020: 153-159 - [c26]Arnaud Dapogny, Kevin Bailly, Matthieu Cord:
Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion. FG 2020: 192-198 - [c25]Zakia Hammal, Di Huang, Kévin Bailly, Liming Chen, Mohamed Daoudi:
Face and Gesture Analysis for Health Informatics. ICMI 2020: 874-875 - [c24]Thomas Janssoone, Kévin Bailly, Gaël Richard, Chloé Clavel:
The POTUS Corpus, a Database of Weekly Addresses for the Study of Stance in Politics and Virtual Agents. LREC 2020: 1546-1553 - [i9]Arnaud Dapogny, Kévin Bailly, Matthieu Cord:
Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion. CoRR abs/2004.06558 (2020) - [i8]Edouard Yvinec, Arnaud Dapogny, Kévin Bailly:
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation. CoRR abs/2004.07098 (2020) - [i7]Estephe Arnaud, Arnaud Dapogny, Kevin Bailly:
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild. CoRR abs/2010.07614 (2020)
2010 – 2019
- 2019
- [b2]Kevin Bailly:
Apprentissage automatique pour l'analyse des expressions faciales. (Machine learning for facial expression analysis). Sorbonne University, France, 2019 - [j11]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: 5 (2019) - [j10]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): 167-181 (2019) - [c23]Estephe Arnaud, Arnaud Dapogny, Kevin Bailly:
Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild. FG 2019: 1-7 - [c22]Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild. ICCV 2019: 6892-6900 - [i6]Arnaud Dapogny, Kevin Bailly, Matthieu Cord:
DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild. CoRR abs/1904.02549 (2019) - [i5]Estephe Arnaud, Arnaud Dapogny, Kevin Bailly:
Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild. CoRR abs/1907.03248 (2019) - [i4]Estephe Arnaud, Arnaud Dapogny, Kevin Bailly:
Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment. CoRR abs/1910.09450 (2019) - 2018
- [j9]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): 255-271 (2018) - [j8]Arnaud Dapogny, Kevin Bailly:
Face alignment with cascaded semi-parametric deep greedy neural forests. Pattern Recognit. Lett. 102: 75-81 (2018) - [c21]Arnaud Dapogny, Kevin Bailly:
Investigating Deep Neural Forests for Facial Expression Recognition. FG 2018: 629-633 - [c20]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: 723-730 - 2017
- [j7]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: 195-211 (2017) - [j6]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): 511-536 (2017) - [c19]Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson:
Multi-Output Random Forests for Facial Action Unit Detection. FG 2017: 135-140 - [c18]Alex Vásquez, Arnaud Dapogny, Kevin Bailly, Véronique Perdereau:
Sequential recognition of in-hand object shape using a collection of neural forests. IROS 2017: 3081-3086 - [i3]Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson:
Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests. CoRR abs/1703.01597 (2017) - 2016
- [j5]Jérémie Nicolle, Kevin Bailly, Mohamed Chetouani:
Real-time facial action unit intensity prediction with regularized metric learning. Image Vis. Comput. 52: 1-14 (2016) - [c17]Jonathan Aigrain, Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson, Marcin Detyniecki, Mohamed Chetouani:
On leveraging crowdsourced data for automatic perceived stress detection. ICMI 2016: 113-120 - [c16]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: 175-189 - [i2]Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson:
Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests. CoRR abs/1607.06250 (2016) - [i1]Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson:
Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit detection. CoRR abs/1607.06290 (2016) - 2015
- [c15]Jérémie Nicolle, Kevin Bailly, Mohamed Chetouani:
Facial Action Unit intensity prediction via Hard Multi-Task Metric Learning for Kernel Regression. FG 2015: 1-6 - [c14]Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson:
Dynamic facial expression recognition by joint static and multi-time gap transition classification. FG 2015: 1-6 - [c13]Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson:
Pairwise Conditional Random Forests for Facial Expression Recognition. ICCV 2015: 3783-3791 - 2014
- [j4]Thibaud Senechal, Kevin Bailly, Lionel Prevost:
Impact of action unit detection in automatic emotion recognition. Pattern Anal. Appl. 17(1): 51-67 (2014) - [c12]Lucas Zamuner, Kevin Bailly, Erwan Bigorgne:
A Pose-Adaptive Constrained Local Model for Accurate Head Pose Tracking. ICPR 2014: 2525-2530 - 2013
- [j3]Vincent Rapp, Kevin Bailly, Thibaud Senechal, Lionel Prevost:
Multi-Kernel Appearance Model. Image Vis. Comput. 31(8): 542-554 (2013) - [c11]Jérémie Nicolle, Kevin Bailly, Vincent Rapp, Mohamed Chetouani:
Locating facial landmarks with binary map cross-correlations. ICIP 2013: 2978-2982 - 2012
- [j2]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): 993-1005 (2012) - [c10]Jérémie Nicolle, Vincent Rapp, Kevin Bailly, Lionel Prevost, Mohamed Chetouani:
Robust continuous prediction of human emotions using multiscale dynamic cues. ICMI 2012: 501-508 - [c9]Kevin Bailly, Maurice Milgram, Philippe Phothisane, Erwan Bigorgne:
Learning global cost function for face alignment. ICPR 2012: 1112-1115 - 2011
- [c8]Vincent Rapp, Thibaud Senechal, Kevin Bailly, Lionel Prevost:
Multiple kernel learning SVM and statistical validation for facial landmark detection. FG 2011: 265-271 - [c7]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: 860-865 - 2010
- [b1]Kevin Bailly:
Méthodes d'apprentissage pour l'estimation de la pose de la tête dans des images monoculaires. (Learning-based head pose estimation in monocular images). Pierre and Marie Curie University, Paris, France, 2010 - [c6]Thibaud Senechal, Kevin Bailly, Lionel Prevost:
Automatic Facial Action Detection Using Histogram Variation Between Emotional States. ICPR 2010: 3752-3755
2000 – 2009
- 2009
- [j1]Kevin Bailly, Maurice Milgram:
Boosting feature selection for Neural Network based regression. Neural Networks 22(5-6): 748-756 (2009) - [c5]Kevin Bailly, Maurice Milgram, Philippe Phothisane:
Head Pose Estimation by a Stepwise Nonlinear Regression. CAIP 2009: 25-32 - [c4]Kevin Bailly, Maurice Milgram:
Head pan angle estimation by a nonlinear regression on selected features. ICIP 2009: 3589-3592 - [c3]Kevin Bailly, Maurice Milgram:
BISAR: Boosted input selection algorithm for regression. IJCNN 2009: 249-255 - 2008
- [c2]Kevin Bailly, Maurice Milgram:
Head Pose Determination Using Synthetic Images. ACIVS 2008: 1071-1080 - [c1]Kevin Bailly, Maurice Milgram:
Recursive Shape and Pose Determination Using Deformable Model. CIARP 2008: 602-609
Coauthor Index
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last updated on 2024-10-11 18:23 CEST by the dblp team
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