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ORCIDArnaud Dapogny
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2020 – today
- 2024
[j11]Edouard Yvinec
, Arnaud Dapogny, Kevin Bailly:
PIPE: Parallelized inference through ensembling of residual quantization expansions. Pattern Recognit. 154: 110571 (2024)- [j10]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) - [c28]Eden Belouadah, Arnaud Dapogny, Kevin Bailly:
MultIOD: Rehearsal-free Multihead Incremental Object Detector. CVPR Workshops 2024: 4107-4117 - [c27]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings. ICLR 2024 - 2023
- [j9]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) - [j8]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) - [j7]Gauthier Tallec, Arnaud Dapogny, Kévin Bailly:
Multi-Order Networks for Action Unit Detection. IEEE Trans. Affect. Comput. 14(4): 2876-2888 (2023) - [c26]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 - [c25]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 - [c24]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization. ICIP 2023: 540-544 - [c23]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 - [c22]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
PowerQuant: Automorphism Search for Non-Uniform Quantization. ICLR 2023 - [c21]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
REx: Data-Free Residual Quantization Error Expansion. NeurIPS 2023 - [c20]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SPIQ: Data-Free Per-Channel Static Input Quantization. WACV 2023: 3858-3867 - [i34]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
PowerQuant: Automorphism Search for Non-Uniform Quantization. CoRR abs/2301.09858 (2023) - [i33]Gauthier Tallec, Arnaud Dapogny, Kevin Bailly:
Fighting noise and imbalance in Action Unit detection problems. CoRR abs/2303.02994 (2023) - [i32]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) - [i31]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Designing strong baselines for ternary neural network quantization through support and mass equalization. CoRR abs/2306.17442 (2023) - [i30]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference. CoRR abs/2308.04753 (2023) - [i29]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search. CoRR abs/2308.05600 (2023) - [i28]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Gradient-Based Post-Training Quantization: Challenging the Status Quo. CoRR abs/2308.07662 (2023) - [i27]Eden Belouadah, Arnaud Dapogny, Kevin Bailly:
MultIOD: Rehearsal-free Multihead Incremental Object Detector. CoRR abs/2309.05334 (2023) - [i26]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings. CoRR abs/2309.17361 (2023) - [i25]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) - [i24]Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
PIPE : Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions. CoRR abs/2311.15806 (2023) - 2022
- [c19]Jules Bonnard, Arnaud Dapogny, Ferdinand Dhombres, Kevin Bailly:
Privileged Attribution Constrained Deep Networks for Facial Expression Recognition. ICPR 2022: 1055-1061 - [c18]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 - [c17]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. NeurIPS 2022 - [i23]Gauthier Tallec, Arnaud Dapogny, Kevin Bailly:
Multi-Order Networks for Action Unit Detection. CoRR abs/2202.00446 (2022) - [i22]Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly:
Multi-label Transformer for Action Unit Detection. CoRR abs/2203.12531 (2022) - [i21]Jules Bonnard, Arnaud Dapogny, Ferdinand Dhombres, Kévin Bailly:
Privileged Attribution Constrained Deep Networks for Facial Expression Recognition. CoRR abs/2203.12905 (2022) - [i20]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SPIQ: Data-Free Per-Channel Static Input Quantization. CoRR abs/2203.14642 (2022) - [i19]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
REx: Data-Free Residual Quantization Error Expansion. CoRR abs/2203.14645 (2022) - [i18]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) - [i17]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. CoRR abs/2207.04089 (2022) - [i16]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
- [c16]Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord:
PLOP: Learning Without Forgetting for Continual Semantic Segmentation. CVPR 2021: 4040-4050 - [c15]Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks. NeurIPS 2021: 20863-20873 - [i15]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) - [i14]Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord:
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation. CoRR abs/2106.15287 (2021) - [i13]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
- [j6]Yifu Chen, Arnaud Dapogny, Matthieu Cord:
SEMEDA: Enhancing segmentation precision with semantic edge aware loss. Pattern Recognit. 108: 107557 (2020) - [j5]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) - [c14]Arnaud Dapogny, Matthieu Cord, Patrick Pérez:
The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network. AAAI 2020: 10688-10695 - [c13]Edouard Yvinec, Arnaud Dapogny, Kévin Bailly:
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation. FG 2020: 146-152 - [c12]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 - [c11]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 - [i12]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) - [i11]Edouard Yvinec, Arnaud Dapogny, Kévin Bailly:
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation. CoRR abs/2004.07098 (2020) - [i10]Estephe Arnaud, Arnaud Dapogny, Kevin Bailly:
THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild. CoRR abs/2010.07614 (2020) - [i9]Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord:
PLOP: Learning without Forgetting for Continual Semantic Segmentation. CoRR abs/2011.11390 (2020)
2010 – 2019
- 2019
- [j4]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) - [j3]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) - [c10]Estephe Arnaud, Arnaud Dapogny, Kevin Bailly:
Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild. FG 2019: 1-7 - [c9]Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild. ICCV 2019: 6892-6900 - [c8]Yifu Chen, Antoine Saporta, Arnaud Dapogny, Matthieu Cord:
Delving Deep into Interpreting Neural Nets with Piece-Wise Affine Representation. ICIP 2019: 609-613 - [i8]Arnaud Dapogny, Kevin Bailly, Matthieu Cord:
DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild. CoRR abs/1904.02549 (2019) - [i7]Arnaud Dapogny, Matthieu Cord, Patrick Pérez:
The Missing Data Encoder: Cross-Channel Image Completion\\with Hide-And-Seek Adversarial Network. CoRR abs/1905.01861 (2019) - [i6]Yifu Chen, Arnaud Dapogny, Matthieu Cord:
SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss. CoRR abs/1905.01892 (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
- [j2]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) - [j1]Arnaud Dapogny, Kevin Bailly:
Face alignment with cascaded semi-parametric deep greedy neural forests. Pattern Recognit. Lett. 102: 75-81 (2018) - [c7]Arnaud Dapogny, Kevin Bailly:
Investigating Deep Neural Forests for Facial Expression Recognition. FG 2018: 629-633 - [c6]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
- [c5]Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson:
Multi-Output Random Forests for Facial Action Unit Detection. FG 2017: 135-140 - [c4]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
- [b1]Arnaud Dapogny:
A walk through randomness for face analysis in unconstrained environments. (Etude des méthodes aléatoires pour l'analyse de visage en environnement non contraint). Pierre and Marie Curie University, Paris, France, 2016 - [c3]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 - [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
- [c2]Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson:
Dynamic facial expression recognition by joint static and multi-time gap transition classification. FG 2015: 1-6 - [c1]Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson:
Pairwise Conditional Random Forests for Facial Expression Recognition. ICCV 2015: 3783-3791
Coauthor Index
aka: Kévin Bailly
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last updated on 2024-10-11 18:19 CEST by the dblp team
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