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Arnaud Dapogny

Orcid: 0000-0002-0074-8719

According to our database¹, Arnaud Dapogny authored at least 50 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Prior-Guided Attribution of Deep Neural Networks for Obstetrics and Gynecology.

[BibT_eX]

[DOI]

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Richard Zsamboki

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Lucrezia De Braud

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Ferdinand Dhombres

IEEE J. Biomed. Health Informatics, February, 2024

2023

RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging.

[BibT_eX]

[DOI]

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IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Multi-Order Networks for Action Unit Detection.

[BibT_eX]

[DOI]

Gauthier Tallec

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IEEE Trans. Affect. Comput., 2023

THIN: THrowable Information Networks and Application for Facial Expression Recognition in the Wild.

[BibT_eX]

[DOI]

Estèphe Arnaud

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,

IEEE Trans. Affect. Comput., 2023

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

[BibT_eX]

[DOI]

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CoRR, 2023

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

[BibT_eX]

[DOI]

Rémi Ouazan Reboul

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CoRR, 2023

Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings.

[BibT_eX]

[DOI]

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CoRR, 2023

MultIOD: Rehearsal-free Multihead Incremental Object Detector.

[BibT_eX]

[DOI]

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CoRR, 2023

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

[BibT_eX]

[DOI]

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CoRR, 2023

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

[BibT_eX]

[DOI]

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CoRR, 2023

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

[BibT_eX]

[DOI]

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CoRR, 2023

Fighting noise and imbalance in Action Unit detection problems.

[BibT_eX]

[DOI]

Gauthier Tallec

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,

CoRR, 2023

SPIQ: Data-Free Per-Channel Static Input Quantization.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

REx: Data-Free Residual Quantization Error Expansion.

[BibT_eX]

[DOI]

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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.

[BibT_eX]

[DOI]

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization.

[BibT_eX]

[DOI]

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Proceedings of the IEEE International Conference on Image Processing, 2023

Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels.

[BibT_eX]

[DOI]

Gauthier Tallec

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,

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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.

[BibT_eX]

[DOI]

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Gauthier Tallec

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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.

[BibT_eX]

[DOI]

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Gauthier Tallec

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Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

2022

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

[BibT_eX]

[DOI]

Gauthier Tallec

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CoRR, 2022

Multi-label Transformer for Action Unit Detection.

[BibT_eX]

[DOI]

Gauthier Tallec

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,

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CoRR, 2022

SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance.

[BibT_eX]

[DOI]

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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.

[BibT_eX]

[DOI]

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Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Privileged Attribution Constrained Deep Networks for Facial Expression Recognition.

[BibT_eX]

[DOI]

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Ferdinand Dhombres

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Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation.

[BibT_eX]

[DOI]

Arthur Douillard

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CoRR, 2021

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

[BibT_eX]

[DOI]

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CoRR, 2021

RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PLOP: Learning Without Forgetting for Continual Semantic Segmentation.

[BibT_eX]

[DOI]

Arthur Douillard

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Tree-Gated Deep Mixture-of-Experts for Pose-Robust Face Alignment.

[BibT_eX]

[DOI]

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IEEE Trans. Biom. Behav. Identity Sci., 2020

SEMEDA: Enhancing segmentation precision with semantic edge aware loss.

[BibT_eX]

[DOI]

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Pattern Recognit., 2020

DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation.

[BibT_eX]

[DOI]

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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.

[BibT_eX]

[DOI]

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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.

[BibT_eX]

[DOI]

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Estèphe Arnaud

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Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network.

[BibT_eX]

[DOI]

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests.

[BibT_eX]

[DOI]

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Séverine Dubuisson

IEEE Trans. Affect. Comput., 2019

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

[BibT_eX]

[DOI]

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Charline Grossard

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Ouriel Grynszpan

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Séverine Dubuisson

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Frontiers Comput. Sci., 2019

Delving Deep into Interpreting Neural Nets with Piece-Wise Affine Representation.

[BibT_eX]

[DOI]

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Antoine Saporta

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Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild.

[BibT_eX]

[DOI]

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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild.

[BibT_eX]

[DOI]

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Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

2018

Face alignment with cascaded semi-parametric deep greedy neural forests.

[BibT_eX]

[DOI]

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Pattern Recognit. Lett., 2018

Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit Detection.

[BibT_eX]

[DOI]

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Séverine Dubuisson

Int. J. Comput. Vis., 2018

JEMImE: A Serious Game to Teach Children with ASD How to Adequately Produce Facial Expressions.

[BibT_eX]

[DOI]

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Charline Grossard

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Jeremy Bourgeois

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Hedy Jean-Marie

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Séverine Dubuisson

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Ouriel Grynszpan

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Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Investigating Deep Neural Forests for Facial Expression Recognition.

[BibT_eX]

[DOI]

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Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017

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

[BibT_eX]

[DOI]

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Séverine Dubuisson

CoRR, 2017

Sequential recognition of in-hand object shape using a collection of neural forests.

[BibT_eX]

[DOI]

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Véronique Perdereau

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Multi-Output Random Forests for Facial Action Unit Detection.

[BibT_eX]

[DOI]

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Séverine Dubuisson

Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016

A walk through randomness for face analysis in unconstrained environments. (Etude des méthodes aléatoires pour l'analyse de visage en environnement non contraint).

[BibT_eX]

[DOI]

PhD thesis, 2016

On leveraging crowdsourced data for automatic perceived stress detection.

[BibT_eX]

[DOI]

Jonathan Aigrain

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,

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Séverine Dubuisson

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Marcin Detyniecki

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Mohamed Chetouani

Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

2015

Pairwise Conditional Random Forests for Facial Expression Recognition.

[BibT_eX]

[DOI]

,

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Séverine Dubuisson

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Dynamic facial expression recognition by joint static and multi-time gap transition classification.

[BibT_eX]

[DOI]

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Séverine Dubuisson

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

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