default search action
Arnaud Dapogny
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
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
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
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
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
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
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
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
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
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
Multi-Output Random Forests for Facial Action Unit Detection. FG 2017: 135-140 - [c4]Alex Vásquez, Arnaud Dapogny, Kevin Bailly
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
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
Dynamic facial expression recognition by joint static and multi-time gap transition classification. FG 2015: 1-6 - [c1]Arnaud Dapogny, Kevin Bailly
Pairwise Conditional Random Forests for Facial Expression Recognition. ICCV 2015: 3783-3791
Coauthor Index
aka: Kévin Bailly
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-11 17:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: