Franck Davoine

About Franck Davoine

Franck Davoine, With an exceptional h-index of 30 and a recent h-index of 16 (since 2020), a distinguished researcher at Université de Technologie de Compiègne, specializes in the field of Perception, computer vision, machine learning, multi-sensor data fusion, artificial intelligence.

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

Event-based Semantic-aided Motion Segmentation

PseudoCal: Towards Initialisation-Free Deep Learning-Based Camera-LiDAR Self-Calibration

Learning to estimate two dense depths from lidar and event data

Continuous conditional random field convolution for point cloud segmentation

Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown

Estimation de flot optique basé évènements en temps réel

Real-time optical flow for vehicular perception with low-and high-resolution event cameras

Fusion of neural networks, for LIDAR‐based evidential road mapping

Franck Davoine Information

University

Position

CNRS, France

Citations(all)

3475

Citations(since 2020)

1008

Cited By

2741

hIndex(all)

30

hIndex(since 2020)

16

i10Index(all)

63

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Franck Davoine Skills & Research Interests

Perception

computer vision

machine learning

multi-sensor data fusion

artificial intelligence

Top articles of Franck Davoine

Title

Journal

Author(s)

Publication Date

Event-based Semantic-aided Motion Segmentation

Chenao Jiang

Julien Moreau

Franck Davoine

2024/2/27

PseudoCal: Towards Initialisation-Free Deep Learning-Based Camera-LiDAR Self-Calibration

arXiv preprint arXiv:2309.09855

Mathieu Cocheteux

Julien Moreau

Franck Davoine

2023/9/18

Learning to estimate two dense depths from lidar and event data

Vincent Brebion

Julien Moreau

Franck Davoine

2023/4/18

Continuous conditional random field convolution for point cloud segmentation

Pattern Recognition

Fei Yang

Franck Davoine

Huan Wang

Zhong Jin

2022/2/1

Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown

arXiv preprint arXiv:2301.01250

Maxime Chaveroche

Franck Davoine

Véronique Cherfaoui

2022/12/12

Estimation de flot optique basé évènements en temps réel

Vincent Brebion

Julien Moreau

Franck Davoine

2022/7/5

Real-time optical flow for vehicular perception with low-and high-resolution event cameras

IEEE Transactions on Intelligent Transportation Systems

Vincent Brebion

Julien Moreau

Franck Davoine

2021/12/24

Fusion of neural networks, for LIDAR‐based evidential road mapping

Journal of Field Robotics

Edouard Capellier

Franck Davoine

Véronique Cherfaoui

You Li

2021/8

Efficient M\" obius Transformations and their applications to Dempster-Shafer Theory: Clarification and implementation

arXiv preprint arXiv:2107.07359

Maxime Chaveroche

Franck Davoine

Véronique Cherfaoui

2021/7/15

Efficient exact computation of the conjunctive and disjunctive decompositions of DS Theory for information fusion: Translation and extension

arXiv preprint arXiv:2107.06329

Maxime Chaveroche

Franck Davoine

Véronique Cherfaoui

2021/7/13

Focal points and their implications for Möbius Transforms and Dempster-Shafer Theory

Information Sciences

Maxime Chaveroche

Franck Davoine

Véronique Cherfaoui

2021/5/1

Multisensor Tracking of Lane Boundaries based on Smart Sensor Fusion

Federico Camarda

Franck Davoine

Veronique Cherfaoui

Bruno Durand

2020/10/19

A baseline regularization scheme for transfer learning with convolutional neural networks

Pattern Recognition

Xuhong Li

Yves Grandvalet

Franck Davoine

2020/2/1

Transfer learning in computer vision tasks: Remember where you come from

Image and Vision Computing

Xuhong Li

Yves Grandvalet

Franck Davoine

Jingchun Cheng

Yin Cui

...

2020/1/1

See List of Professors in Franck Davoine University(Université de Technologie de Compiègne)

Co-Authors

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