Arnaud Dapogny

78 papers A* 10A 2B 15Journal 48Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FrescoDiffusion: 4K Image-to-Video with Prior-Regularized Tiled Diffusion. CoRR Hugo Caselles-Dupré, Mathis Koroglu, Guillaume Jeanneret, Arnaud Dapogny, Matthieu Cord
2025	J	`jnl`	Learning to Steer: Input-dependent Steering for Multimodal LLMs. CoRR Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Arnaud Dapogny, Alasdair Newson, Matthieu Cord
2025	J	`jnl`	NUPES: Non-Uniform Post-Training Quantization via Power Exponent Search. IEEE Trans. Pattern Anal. Mach. Intell. Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2024	—	`conf`	MultIOD: Rehearsal-free Multihead Incremental Object Detector. CVPR Workshops Eden Belouadah, Arnaud Dapogny, Kevin Bailly
2024	A*	`conf`	Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings. ICLR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2024	—	`conf`	Ontology-Guided Deep Metric Learning and Applications to Obstetrics. ICPR (9) Jules Bonnard, Arnaud Dapogny, Ferdinand Dhombres, Kévin Bailly
2024	J	`jnl`	PIPE: Parallelized inference through ensembling of residual quantization expansions. Pattern Recognit. Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2024	J	`jnl`	Prior-Guided Attribution of Deep Neural Networks for Obstetrics and Gynecology. IEEE J. Biomed. Health Informatics Jules Bonnard, Arnaud Dapogny, Richard Zsamboki, Lucrezia De Braud, Davor Jurkovic, Kévin Bailly, Ferdinand Dhombres
2023	B	`conf`	Adversarial Deep Multi-Task Learning Using Semantically Orthogonal Spaces and Application to Facial Attributes Prediction. FG Arnaud Dapogny, Gauthier Tallec, Jules Bonnard, Edouard Yvinec, Kévin Bailly
2023	J	`jnl`	Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks. CoRR Rémi Ouazan Reboul, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	B	`conf`	Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization. ICIP Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	Designing strong baselines for ternary neural network quantization through support and mass equalization. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	B	`conf`	Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels. ICIP Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	Fighting noise and imbalance in Action Unit detection problems. CoRR Gauthier Tallec, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	Fighting over-fitting with quantization for learning deep neural networks on noisy labels. CoRR Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	Gradient-Based Post-Training Quantization: Challenging the Status Quo. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	MultIOD: Rehearsal-free Multihead Incremental Object Detector. CoRR Eden Belouadah, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	Multi-Order Networks for Action Unit Detection. IEEE Trans. Affect. Comput. Gauthier Tallec, Arnaud Dapogny, Kévin Bailly
2023	J	`jnl`	NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	J	`jnl`	PIPE : Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	A*	`conf`	PowerQuant: Automorphism Search for Non-Uniform Quantization. ICLR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2023	J	`jnl`	PowerQuant: Automorphism Search for Non-Uniform Quantization. CoRR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2023	J	`jnl`	RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. IEEE Trans. Pattern Anal. Mach. Intell. Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2023	A*	`conf`	REx: Data-Free Residual Quantization Error Expansion. NeurIPS Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2023	B	`conf`	RULe: Relocalization-Uniformization-Landmark Estimation Network for Real-Time Face Alignment in Degraded Conditions. FG Arnaud Dapogny, Gauthier Tallec, Jules Bonnard, Edouard Yvinec, Kévin Bailly
2023	J	`jnl`	SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2023	A	`conf`	SPIQ: Data-Free Per-Channel Static Input Quantization. WACV Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2023	J	`jnl`	THIN: THrowable Information Networks and Application for Facial Expression Recognition in the Wild. IEEE Trans. Affect. Comput. Estèphe Arnaud, Arnaud Dapogny, Kévin Bailly
2022	J	`jnl`	Multi-Order Networks for Action Unit Detection. CoRR Gauthier Tallec, Arnaud Dapogny, Kevin Bailly
2022	J	`jnl`	Multi-Task Transformer with uncertainty modelling for Face Based Affective Computing. CoRR Gauthier Tallec, Jules Bonnard, Arnaud Dapogny, Kévin Bailly
2022	J	`jnl`	Multi-label Transformer for Action Unit Detection. CoRR Gauthier Tallec, Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2022	B	`conf`	Privileged Attribution Constrained Deep Networks for Facial Expression Recognition. ICPR Jules Bonnard, Arnaud Dapogny, Ferdinand Dhombres, Kevin Bailly
2022	J	`jnl`	Privileged Attribution Constrained Deep Networks for Facial Expression Recognition. CoRR Jules Bonnard, Arnaud Dapogny, Ferdinand Dhombres, Kévin Bailly
2022	J	`jnl`	REx: Data-Free Residual Quantization Error Expansion. CoRR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2022	A*	`conf`	SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. NeurIPS Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2022	J	`jnl`	SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance. CoRR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2022	J	`jnl`	SPIQ: Data-Free Per-Channel Static Input Quantization. CoRR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2022	A*	`conf`	To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding. IJCAI Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2022	J	`jnl`	To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding. CoRR Edouard Yvinec, Arnaud Dapogny, Kevin Bailly
2021	A*	`conf`	PLOP: Learning Without Forgetting for Continual Semantic Segmentation. CVPR Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord
2021	J	`jnl`	RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks. CoRR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2021	A*	`conf`	RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks. NeurIPS Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2021	J	`jnl`	RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. CoRR Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2021	J	`jnl`	Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation. CoRR Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord
2020	B	`conf`	DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation. FG Edouard Yvinec, Arnaud Dapogny, Kévin Bailly
2020	J	`jnl`	DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation. CoRR Edouard Yvinec, Arnaud Dapogny, Kévin Bailly
2020	B	`conf`	Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion. FG Arnaud Dapogny, Kevin Bailly, Matthieu Cord
2020	J	`jnl`	Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion. CoRR Arnaud Dapogny, Kévin Bailly, Matthieu Cord
2020	B	`conf`	MoDuL: Deep Modal and Dual Landmark-wise Gated Network for Facial Expression Recognition. FG Sacha Bernheim, Estèphe Arnaud, Arnaud Dapogny, Kévin Bailly
2020	J	`jnl`	PLOP: Learning without Forgetting for Continual Semantic Segmentation. CoRR Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord
2020	J	`jnl`	SEMEDA: Enhancing segmentation precision with semantic edge aware loss. Pattern Recognit. Yifu Chen, Arnaud Dapogny, Matthieu Cord
2020	J	`jnl`	THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild. CoRR Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
2020	A*	`conf`	The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network. AAAI Arnaud Dapogny, Matthieu Cord, Patrick Pérez
2020	J	`jnl`	Tree-Gated Deep Mixture-of-Experts for Pose-Robust Face Alignment. IEEE Trans. Biom. Behav. Identity Sci. Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
2019	J	`jnl`	DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild. CoRR Arnaud Dapogny, Kevin Bailly, Matthieu Cord
2019	A*	`conf`	DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild. ICCV Arnaud Dapogny, Matthieu Cord, Kevin Bailly
2019	B	`conf`	Delving Deep into Interpreting Neural Nets with Piece-Wise Affine Representation. ICIP Yifu Chen, Antoine Saporta, Arnaud Dapogny, Matthieu Cord
2019	J	`jnl`	Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests. IEEE Trans. Affect. Comput. Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
2019	J	`jnl`	On Automatically Assessing Children's Facial Expressions Quality: A Study, Database, and Protocol. Frontiers Comput. Sci. Arnaud Dapogny, Charline Grossard, Stéphanie Hun, Sylvie Serret, Ouriel Grynszpan, Séverine Dubuisson, David Cohen, Kevin Bailly
2019	J	`jnl`	SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss. CoRR Yifu Chen, Arnaud Dapogny, Matthieu Cord
2019	J	`jnl`	The Missing Data Encoder: Cross-Channel Image Completion\\with Hide-And-Seek Adversarial Network. CoRR Arnaud Dapogny, Matthieu Cord, Patrick Pérez
2019	J	`jnl`	Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment. CoRR Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
2019	B	`conf`	Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild. FG Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
2019	J	`jnl`	Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild. CoRR Estephe Arnaud, Arnaud Dapogny, Kevin Bailly
2018	J	`jnl`	Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit Detection. Int. J. Comput. Vis. Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
2018	J	`jnl`	Face alignment with cascaded semi-parametric deep greedy neural forests. Pattern Recognit. Lett. Arnaud Dapogny, Kevin Bailly
2018	B	`conf`	Investigating Deep Neural Forests for Facial Expression Recognition. FG Arnaud Dapogny, Kevin Bailly
2018	B	`conf`	JEMImE: A Serious Game to Teach Children with ASD How to Adequately Produce Facial Expressions. FG 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
2017	J	`jnl`	Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests. CoRR Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
2017	B	`conf`	Multi-Output Random Forests for Facial Action Unit Detection. FG Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
2017	A	`conf`	Sequential recognition of in-hand object shape using a collection of neural forests. IROS Alex Vásquez, Arnaud Dapogny, Kevin Bailly, Véronique Perdereau
2016	—	`—`	A walk through randomness for face analysis in unconstrained environments. (Etude des méthodes aléatoires pour l'analyse de visage en environnement non contraint). Arnaud Dapogny
2016	J	`jnl`	Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit detection. CoRR Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
2016	J	`jnl`	Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests. CoRR Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
2016	B	`conf`	On leveraging crowdsourced data for automatic perceived stress detection. ICMI Jonathan Aigrain, Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson, Marcin Detyniecki, Mohamed Chetouani
2015	B	`conf`	Dynamic facial expression recognition by joint static and multi-time gap transition classification. FG Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson
2015	A*	`conf`	Pairwise Conditional Random Forests for Facial Expression Recognition. ICCV Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson