Antoine Manzanera

Antoine Manzanera

ENSTA ParisTech

H-index: 19

Europe-France

About Antoine Manzanera

Antoine Manzanera, With an exceptional h-index of 19 and a recent h-index of 9 (since 2020), a distinguished researcher at ENSTA ParisTech, specializes in the field of image processing, computer vision, visual learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

InfraParis: A multi-modal and multi-task autonomous driving dataset

Riemannian SPD learning to represent and characterize fixational oculomotor Parkinsonian abnormalities

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions

Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images

Does it work outside this benchmark? Introducing the rigid depth constructor tool: Depth validation dataset construction in rigid scenes for the masses

NECO: NEural Collapse Based Out-of-distribution detection

Improving Knee Osteoarthritis Classification with Markerless Pose Estimation and STGCN Model

A study of deep perceptual metrics for image quality assessment

Antoine Manzanera Information

University

Position

associate professor

Citations(all)

1527

Citations(since 2020)

467

Cited By

2610

hIndex(all)

19

hIndex(since 2020)

9

i10Index(all)

28

i10Index(since 2020)

8

Email

University Profile Page

ENSTA ParisTech

Google Scholar

View Google Scholar Profile

Antoine Manzanera Skills & Research Interests

image processing

computer vision

visual learning

Top articles of Antoine Manzanera

Title

Journal

Author(s)

Publication Date

InfraParis: A multi-modal and multi-task autonomous driving dataset

Gianni Franchi

Marwane Hariat

Xuanlong Yu

Nacim Belkhir

Antoine Manzanera

...

2024

Riemannian SPD learning to represent and characterize fixational oculomotor Parkinsonian abnormalities

Pattern Recognition Letters

Juan Olmos

Antoine Manzanera

Fabio Martínez

2024/1/1

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions

Marwane Hariat

Antoine Manzanera

David Filliat

2023

Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images

arXiv preprint arXiv:2311.05021

Josué Ruano

Martín Gómez

Eduardo Romero

Antoine Manzanera

2023/11/8

Does it work outside this benchmark? Introducing the rigid depth constructor tool: Depth validation dataset construction in rigid scenes for the masses

Multimedia Tools and Applications

Clément Pinard

Antoine Manzanera

2023/11

NECO: NEural Collapse Based Out-of-distribution detection

arXiv preprint arXiv:2310.06823

Mouïn Ben Ammar

Nacim Belkhir

Sebastian Popescu

Antoine Manzanera

Gianni Franchi

2023/10/10

Improving Knee Osteoarthritis Classification with Markerless Pose Estimation and STGCN Model

Souhir Khessiba

Ahmed Ghazi Blaiech

Asma Ben Abdallah

Rim Grassa

Antoine Manzanera

...

2023/9/27

A study of deep perceptual metrics for image quality assessment

arXiv preprint arXiv:2202.08692

Rémi Kazmierczak

Gianni Franchi

Nacim Belkhir

Antoine Manzanera

David Filliat

2022/2/17

Learning graph representation with randomized neural network for dynamic texture classification

Applied Soft Computing

Lucas C Ribas

Jarbas Joaci de Mesquita Sa Junior

Antoine Manzanera

Odemir M Bruno

2022/1/1

Hyperparameter optimization of deep learning models for eeg-based vigilance detection

Félix Morales

Carlos Sauer

Hans Mersch

Diego Stalder

Miguel García Torres

2022

An oculomotor digital parkinson biomarker from a deep riemannian representation

Juan Olmos

Antoine Manzanera

Fabio Martínez

2022/6/1

Quantification of parkinsonian kinematic patterns in body-segment regions during locomotion

Journal of Medical and Biological Engineering

Luis C Guayacán

Antoine Manzanera

Fabio Martínez

2022/4

A multimodal Parkinson quantification by fusing eye and gait motion patterns, using covariance descriptors, from non-invasive computer vision

John Archila

Antoine Manzanera

Fabio Martínez

2022/3/1

A recurrent approach for predicting Parkinson stage from multimodal videos

John Archila

Antoine Manzanera

Fabio Martínez

2021/12/10

A compact and recursive Riemannian motion descriptor for untrimmed activity recognition

Journal of Real-Time Image Processing

Fabio Martı́nez Carrillo

Michèle Gouiffès

Gustavo Garzón Villamizar

Antoine Manzanera

2021/12/1

Naturally Constrained Online Expectation Maximization

Daniela Pamplona

Antoine Manzanera

2021/1/10

UVP6: a new low power, low cost and deep ocean rated imaging sensor for automatic quantification of particles and plankton from autonomous platforms

Marc Picheral

Emna Abidi

François Berry

Jerome Coindat

Denis Brousseau

...

2020

See List of Professors in Antoine Manzanera University(ENSTA ParisTech)