Arnaud Dapogny

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 70

Top Venues

CoRR

ICIP

IEEE Trans. Affect. Comput.

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)
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) (2024)
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) (2023)
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)
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)
Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
REx: Data-Free Residual Quantization Error Expansion. NeurIPS (2023)
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)
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, Arnaud Dapogny, Kévin Bailly
Multi-Order Networks for Action Unit Detection. IEEE Trans. Affect. Comput. 14 (4) (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)
Gauthier Tallec, Jules Bonnard, Arnaud Dapogny, Kévin Bailly
Multi-Task Transformer with uncertainty modelling for Face Based Affective Computing. CoRR (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)
Jules Bonnard, Arnaud Dapogny, Ferdinand Dhombres, Kévin Bailly
Privileged Attribution Constrained Deep Networks for Facial Expression Recognition. CoRR (2022)
Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord
PLOP: Learning Without Forgetting for Continual Semantic Segmentation. CVPR (2021)
Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation. CoRR (2021)
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)
Sacha Bernheim, Estèphe Arnaud, Arnaud Dapogny, Kévin Bailly
MoDuL: Deep Modal and Dual Landmark-wise Gated Network for Facial Expression Recognition. FG (2020)
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)
Yifu Chen, Arnaud Dapogny, Matthieu Cord
SEMEDA: Enhancing segmentation precision with semantic edge aware loss. Pattern Recognit. 108 (2020)
Edouard Yvinec, Arnaud Dapogny, Kévin Bailly
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation. CoRR (2020)
Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord
PLOP: Learning without Forgetting for Continual Semantic Segmentation. CoRR (2020)
Arnaud Dapogny, Kévin Bailly, Matthieu Cord
Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion. CoRR (2020)
Edouard Yvinec, Arnaud Dapogny, Kévin Bailly
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation. FG (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)
Arnaud Dapogny, Matthieu Cord, Patrick Pérez
The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network. AAAI (2020)
Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild. CoRR (2020)
Yifu Chen, Arnaud Dapogny, Matthieu Cord
SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss. CoRR (2019)
Arnaud Dapogny, Matthieu Cord, Patrick Pérez
The Missing Data Encoder: Cross-Channel Image Completion\\with Hide-And-Seek Adversarial Network. CoRR (2019)
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)
Yifu Chen, Antoine Saporta, Arnaud Dapogny, Matthieu Cord
Delving Deep into Interpreting Neural Nets with Piece-Wise Affine Representation. ICIP (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)
Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
Multi-Output Random Forests for Facial Action Unit Detection. FG (2017)
Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests. CoRR (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)
Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
Pairwise Conditional Random Forests for Facial Expression Recognition. ICCV (2015)
Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
Dynamic facial expression recognition by joint static and multi-time gap transition classification. FG (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Arnaud Dapogny