Arnaud Dapogny | DeepAI

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∙ 03/21/2023

Fighting over-fitting with quantization for learning deep neural networks on noisy labels

The rising performance of deep neural networks is often empirically attr...

0 Gauthier Tallec, et al. ∙

∙ 03/06/2023

Fighting noise and imbalance in Action Unit detection problems

Action Unit (AU) detection aims at automatically caracterizing facial ex...

0 Gauthier Tallec, et al. ∙

∙ 01/24/2023

PowerQuant: Automorphism Search for Non-Uniform Quantization

Deep neural networks (DNNs) are nowadays ubiquitous in many domains such...

0 Edouard Yvinec, et al. ∙

∙ 08/06/2022

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

Face based affective computing consists in detecting emotions from face ...

0 Gauthier Tallec, et al. ∙

∙ 07/08/2022

SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance

The leap in performance in state-of-the-art computer vision methods is a...

0 Edouard Yvinec, et al. ∙

∙ 03/28/2022

To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding

Batch-Normalization (BN) layers have become fundamental components in th...

0 Edouard Yvinec, et al. ∙

∙ 03/28/2022

SPIQ: Data-Free Per-Channel Static Input Quantization

Computationally expensive neural networks are ubiquitous in computer vis...

0 Edouard Yvinec, et al. ∙

∙ 03/24/2022

Privileged Attribution Constrained Deep Networks for Facial Expression Recognition

Facial Expression Recognition (FER) is crucial in many research domains ...

0 Jules Bonnard, et al. ∙

∙ 03/23/2022

Multi-label Transformer for Action Unit Detection

Action Unit (AU) Detection is the branch of affective computing that aim...

0 Gauthier Tallec, et al. ∙

∙ 02/01/2022

Multi-Order Networks for Action Unit Detection

Deep multi-task methods, where several tasks are learned within a single...

0 Gauthier Tallec, et al. ∙

∙ 09/30/2021

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

Pruning Deep Neural Networks (DNNs) is a prominent field of study in the...

0 Edouard Yvinec, et al. ∙

∙ 06/29/2021

Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation

Deep learning approaches are nowadays ubiquitously used to tackle comput...

25 Arthur Douillard, et al. ∙

∙ 05/31/2021

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

Deep Neural Networks (DNNs) are ubiquitous in today's computer vision la...

0 Edouard Yvinec, et al. ∙

∙ 11/23/2020

PLOP: Learning without Forgetting for Continual Semantic Segmentation

Deep learning approaches are nowadays ubiquitously used to tackle comput...

3 Arthur Douillard, et al. ∙

∙ 10/15/2020

THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild

For a number of tasks solved using deep learning techniques, an exogenou...

0 Estephe Arnaud, et al. ∙

∙ 04/15/2020

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

From medical research to gaming applications, gaze estimation is becomin...

6 Edouard Yvinec, et al. ∙

∙ 04/14/2020

Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion

Head pose estimation and face alignment constitute a backbone preprocess...

0 Arnaud Dapogny, et al. ∙

∙ 10/21/2019

Tree-gated Deep Mixture-of-Experts For Pose-robust Face Alignment

Face alignment consists of aligning a shape model on a face image. It is...

15 Estephe Arnaud, et al. ∙

∙ 07/07/2019

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

Face alignment consists in aligning a shape model on a face in an image....

6 Estephe Arnaud, et al. ∙

∙ 05/06/2019

SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss

While nowadays deep neural networks achieve impressive performances on s...

10 Yifu Chen, et al. ∙

∙ 05/06/2019

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

Image completion is the problem of generating whole images from fragment...

0 Arnaud Dapogny, et al. ∙

∙ 04/04/2019

DeCaFA: Deep Convolutional Cascade for Face Alignment In The Wild

Face Alignment is an active computer vision domain, that consists in loc...

0 Arnaud Dapogny, et al. ∙

∙ 03/05/2017

Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests

Face alignment is an active topic in computer vision, consisting in alig...

0 Arnaud Dapogny, et al. ∙