activity
20192023
most citedMFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech

264 citations · 416 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CV2023★ 150 cited

HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness

Zongwei Wu, Guillaume Allibert, Fabrice Meriaudeau +2

RGB-D saliency detection aims to fuse multi-modal cues to accurately localize salient regions. Existing works often adopt attention modules for feature modeling, with few methods e…

cs.CV2022

Physically-admissible polarimetric data augmentation for road-scene analysis

Cyprien Ruffino, Rachel Blin, Samia Ainouz +4

Polarimetric imaging, along with deep learning, has shown improved performances on different tasks including scene analysis. However, its robustness may be questioned because of th…

eess.IV2022

Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge Findings

Sophia Bano, Alessandro Casella, Francisco Vasconcelos +28

Fetoscopy laser photocoagulation is a widely adopted procedure for treating Twin-to-Twin Transfusion Syndrome (TTTS). The procedure involves photocoagulation pathological anastomos…

eess.IV2021

Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge

Alain Lalande, Zhihao Chen, Thibaut Pommier +30

A key factor for assessing the state of the heart after myocardial infarction (MI) is to measure whether the myocardium segment is viable after reperfusion or revascularization the…

cs.CV2020

P2D: a self-supervised method for depth estimation from polarimetry

Marc Blanchon, Désiré Sidibé, Olivier Morel +3

Monocular depth estimation is a recurring subject in the field of computer vision. Its ability to describe scenes via a depth map while reducing the constraints related to the form…

eess.IV2020★ 2 cited

Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on 2.5 D Residual Squeeze and Excitation Deep Learning Model

Abdul Qayyum, Alain Lalande, Thomas Decourselle +3

Cardiac left ventricular (LV) segmentation from short-axis MRI acquired 10 minutes after the injection of a contrast agent (LGE-MRI) is a necessary step in the processing allowing…

cs.CV2020

Polarimetric image augmentation

Marc Blanchon, Olivier Morel, Fabrice Meriaudeau +2

Robotics applications in urban environments are subject to obstacles that exhibit specular reflections hampering autonomous navigation. On the other hand, these reflections are hig…

cs.CV2019

Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning

Rachel Blin, Samia Ainouz, Stéphane Canu +1

Object detection in road scenes is necessary to develop both autonomous vehicles and driving assistance systems. Even if deep neural networks for recognition task have shown great…

cs.HC2019★ 264 cited

MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech

Emna Rejaibi, Ali Komaty, Fabrice Meriaudeau +2

Clinical depression or Major Depressive Disorder (MDD) is a common and serious medical illness. In this paper, a deep recurrent neural network-based framework is presented to detec…