Florent Poux

About Florent Poux

Florent Poux, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at Université de Liège, specializes in the field of 3D, Point Cloud, LiDAR, Artificial Intelligence, Spatial Science.

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

Investigating Deep Learning Techniques to Estimate Fractional Vegetation Cover in the Australian Semi-arid Ecosystems combining Drone-based RGB imagery, multispectral Imagery …

Investigating Prior-Level Fusion Approaches for Enriched Semantic Segmentation of Urban LiDAR Point Clouds

3D Deep Learning Course

Towards (an Aggregated) Territorial Digital Twin/From smart-village to smart-territory via the territorial system of digital twin (chap. 16)

3D Point Cloud Enriched Semantic Segmentation through Knowledge-Enhanced Deep Learning Technique

3D Indoor Mapping and BIM Reconstruction Editorial

Robust techniques for building footprint extraction in aerial laser scanning 3D point clouds

Three dimensional change detection using point clouds: A review

Florent Poux Information

University

Position

(ULiège)

Citations(all)

933

Citations(since 2020)

852

Cited By

410

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

25

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Florent Poux Skills & Research Interests

3D

Point Cloud

LiDAR

Artificial Intelligence

Spatial Science

Top articles of Florent Poux

Investigating Deep Learning Techniques to Estimate Fractional Vegetation Cover in the Australian Semi-arid Ecosystems combining Drone-based RGB imagery, multispectral Imagery …

2024/3/7

Investigating Prior-Level Fusion Approaches for Enriched Semantic Segmentation of Urban LiDAR Point Clouds

Remote Sensing

2024/1/13

Florent Poux
Florent Poux

H-Index: 12

Roland Billen
Roland Billen

H-Index: 15

3D Deep Learning Course

2024/1/5

Florent Poux
Florent Poux

H-Index: 12

Towards (an Aggregated) Territorial Digital Twin/From smart-village to smart-territory via the territorial system of digital twin (chap. 16)

Concepts in Smart Societies: Next-generation of Human Resources and Technologies

2024

Florent Poux
Florent Poux

H-Index: 12

3D Point Cloud Enriched Semantic Segmentation through Knowledge-Enhanced Deep Learning Technique

2023/6/29

Florent Poux
Florent Poux

H-Index: 12

Roland Billen
Roland Billen

H-Index: 15

3D Indoor Mapping and BIM Reconstruction Editorial

2023/4/2

Robust techniques for building footprint extraction in aerial laser scanning 3D point clouds

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2022/10/27

Florent Poux
Florent Poux

H-Index: 12

Three dimensional change detection using point clouds: A review

2022/10/17

Florent Poux
Florent Poux

H-Index: 12

Roland Billen
Roland Billen

H-Index: 15

A prior level fusion approach for the semantic segmentation of 3D point clouds using deep learning

Remote Sensing

2022/7/16

Florent Poux
Florent Poux

H-Index: 12

Roland Billen
Roland Billen

H-Index: 15

Video Games and Architecture-Towards a Common Spatial Analysis

2022/7/7

Automatic region-growing system for the segmentation of large point clouds

Automation in Construction

2022/6/1

Florent Poux
Florent Poux

H-Index: 12

3D point cloud semantic augmentation: Instance segmentation of 360 panoramas by deep learning techniques

Remote Sensing

2021/9/13

Florent Poux
Florent Poux

H-Index: 12

An extension of CityJSON to support point clouds

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2021/6/30

Florent Poux
Florent Poux

H-Index: 12

Roland Billen
Roland Billen

H-Index: 15

TESSERAE3D: A benchmark for tesserae semantic segmentation in 3D point clouds

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2021/6/17

Roland Billen
Roland Billen

H-Index: 15

Florent Poux
Florent Poux

H-Index: 12

Unsupervised object-based clustering in support of supervised point-based 3D point cloud classification

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2021

A built heritage information system based on point cloud data: HIS-PC

ISPRS international journal of geo-information

2020/10/7

Florent Poux
Florent Poux

H-Index: 12

Roland Billen
Roland Billen

H-Index: 15

Unsupervised segmentation of indoor 3D point cloud: Application to object-based classification

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2020/9/3

Florent Poux
Florent Poux

H-Index: 12

CityJSON building generation from airborne LiDAR 3D point clouds

ISPRS International Journal of Geo-Information

2020/8/31

Florent Poux
Florent Poux

H-Index: 12

Roland Billen
Roland Billen

H-Index: 15

Automatic 3d buildings compact reconstruction from LiDAR point clouds

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2020/8/12

Roland Billen
Roland Billen

H-Index: 15

Florent Poux
Florent Poux

H-Index: 12

Self-learning ontology for instance segmentation of 3d indoor point cloud

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2020/8/12

Florent Poux
Florent Poux

H-Index: 12

See List of Professors in Florent Poux University(Université de Liège)

Co-Authors

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