Arnaud Dapogny
Orcid: 0000-0002-0074-8719
According to our database1,
Arnaud Dapogny
authored at least 52 papers
between 2015 and 2024.
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Bibliography
2024
IEEE J. Biomed. Health Informatics, February, 2024
Pattern Recognit., 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
THIN: THrowable Information Networks and Application for Facial Expression Recognition in the Wild.
IEEE Trans. Affect. Comput., 2023
PIPE : Parallelized Inference Through Post-Training Quantization Ensembling of Residual Expansions.
CoRR, 2023
Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks.
CoRR, 2023
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization.
Proceedings of the IEEE International Conference on Image Processing, 2023
Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels.
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.
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.
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.
CoRR, 2022
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation.
CoRR, 2021
RED : Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks.
CoRR, 2021
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
IEEE Trans. Biom. Behav. Identity Sci., 2020
Pattern Recognit., 2020
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation.
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.
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.
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.
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.
IEEE Trans. Affect. Comput., 2019
On Automatically Assessing Children's Facial Expressions Quality: A Study, Database, and Protocol.
Frontiers Comput. Sci., 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019
2018
Pattern Recognit. Lett., 2018
Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit Detection.
Int. J. Comput. Vis., 2018
JEMImE: A Serious Game to Teach Children with ASD How to Adequately Produce Facial Expressions.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018
2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
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).
PhD thesis, 2016
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016
2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Dynamic facial expression recognition by joint static and multi-time gap transition classification.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015