Profil

Poux Florent

Département de géographie > Geospatial Data Science and City Infor. Modelling (GeoScITY)

See author's contact details
ORCID
0000-0001-6368-4399
Main Referenced Co-authors
Billen, Roland  (45)
Hallot, Pierre  (21)
Neuville, Romain  (17)
Luczfalvy Jancsó, Andrea  (12)
Jonlet, Benoît  (10)
Main Referenced Keywords
point cloud (14); Classification (13); Point Cloud (13); Segmentation (11); Feature Extraction (10);
Main Referenced Unit & Research Centers
Geomatics Unit (3)
Centre National de la Recherche Scientifique (1)
Centre de recherche en données et intelligence géospatiales (1)
SPHERES - ULiège [BE] (1)
Sphères - SPHERES (1)
Main Referenced Disciplines
Earth sciences & physical geography (50)
Computer science (47)
Architecture (19)
Archaeology (13)
Engineering, computing & technology: Multidisciplinary, general & others (11)

Publications (total 69)

The most downloaded
9736 downloads
Poux, F. (2020). 5-Step Guide to generate 3D meshes from point clouds with Python. Towards Data Science. https://hdl.handle.net/2268/254933

The most cited

93 citations (Scopus®)

Poux, F., & Billen, R. (07 May 2019). Voxel-Based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods. ISPRS International Journal of Geo-Information, 8 (5), 213. doi:10.3390/IJGI8050213 https://hdl.handle.net/2268/235425

Poux, F. (2024). 3D Deep Learning Course. (3D Geodata Academy, Toulouse, France, 3DDL-1 Develop End to End 3D Systems with 3D Deep Learning). Toulouse, France: 3D Geodata Academy.

Ballouch, Z., Hajji, R., Kharroubi, A., Poux, F., & Billen, R. (2024). Investigating Prior-Level Fusion Approaches for Enriched Semantic Segmentation of Urban LiDAR Point Clouds. Remote Sensing, 16 (2), 329. doi:10.3390/rs16020329
Peer Reviewed verified by ORBi

Nurunnabi, A., Teferle, N., Balado, J., Chen, M., Poux, F., & Sun, C. (27 October 2022). ROBUST TECHNIQUES FOR BUILDING FOOTPRINT EXTRACTION IN AERIAL LASER SCANNING 3D POINT CLOUDS. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48 (3), 43 - 50. doi:10.5194/isprs-archives-XLVIII-3-W2-2022-43-2022
Peer reviewed

Kharroubi, A., Poux, F., Ballouch, Z., Hajji, R., & Billen, R. (17 October 2022). Three Dimensional Change Detection Using Point Clouds: A Review. Geomatics, 2 (4), 457-486. doi:10.3390/geomatics2040025
Peer reviewed

Ballouch, Z., Hajji, R., Poux, F., Kharroubi, A., & Billen, R. (16 July 2022). A Prior Level Fusion Approach for the Semantic Segmentation of 3D Point Clouds Using Deep Learning. Remote Sensing, 14 (14), 3415. doi:10.3390/rs14143415
Peer Reviewed verified by ORBi

Poux, F., Mattes, C., Selman, Z., & Kobbelt, L. (04 June 2022). Automatic region-growing system for the segmentation of large point clouds. Automation in Construction, 138, 104250. doi:10.1016/j.autcon.2022.104250
Peer Reviewed verified by ORBi

Karara, G., Hajji, R., & Poux, F. (September 2021). 3D point cloud semantic augmentation: Instance segmentation of 360◦ panoramas by deep learning techniques. Remote Sensing, 13 (18), 3647. doi:10.3390/rs13183647
Peer Reviewed verified by ORBi

Nys, G.-A., Kharroubi, A., Poux, F., & Billen, R. (30 June 2021). An extension of CityJSON to support point clouds. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-B4-2021, 301-306. doi:10.5194/isprs-archives-XLIII-B4-2021-301-2021
Peer Reviewed verified by ORBi

Kharroubi, A., Van Wersch, L., Billen, R., & Poux, F. (17 June 2021). TESSERAE3D: A benchmark for tesserae semantic segmentation in 3D point clouds. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2-2021, 121–128. doi:10.5194/isprs-annals-V-2-2021-121-2021

Poux, F. (2020). Expertise - Intégrer l’INTElligence artificielle dans les outils de suivi de l’environnement WalLOn [Paper presentation]. INTELLO, Liège, Belgium.

Poux, F. (2020). How to automate LiDAR point cloud sub-sampling with Python. Towards Data Science.

Poux, F. (05 November 2020). Extraction et Gestion Automatique de la sémantique dans les nuages de points [Paper presentation]. Conférence automatisation, relevés 3D et intelligence artificielle, Laval, Canada.

Poux, F. (2020). Reconnaissance d'assets ferroviaires 3D [Paper presentation]. Reconnaissance ferroviaire, Bruxelles, Belgium.

Poux, F. (20 October 2020). Nuages de points, segments, sémantique et automatisation [Paper presentation]. Chantier scientifique Notre-Dame - état des lieux et perspectives, Paris, France.

Poux, F., Billen, R., Kasprzyk, J.-P., Lefebvre, P.-H., & Hallot, P. (07 October 2020). A Built Heritage Information System Based on Point Cloud Data: HIS-PC. ISPRS International Journal of Geo-Information, 9 (10), 588. doi:10.3390/ijgi9100588
Peer Reviewed verified by ORBi

Poux, F., Mattes, C., & Kobbelt, L. (03 September 2020). Unsupervised segmentation of indoor 3D point cloud: application to object-based classification. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIV-4 (W1-2020), 111-118. doi:10.5194/isprs-archives-XLIV-4-W1-2020-111-2020
Peer Reviewed verified by ORBi

Nys, G.-A., Poux, F., & Billen, R. (31 August 2020). CityJSON Building Generation from Airborne LiDAR 3D Point Clouds. ISPRS International Journal of Geo-Information, 9 (521). doi:10.3390/ijgi9090521
Peer Reviewed verified by ORBi

Kharroubi, A., Billen, R., & Poux, F. (12 August 2020). MARKER-LESS MOBILE AUGMENTED REALITY APPLICATION FOR MASSIVE 3D POINT CLOUDS AND SEMANTICS. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII (B2), 255–261. doi:10.5194/isprs-archives-XLIII-B2-2020-255-2020
Peer Reviewed verified by ORBi

Nys, G.-A., Billen, R., & Poux, F. (2020). Automatic 3D Buildings Compact Reconstruction from LiDAR point clouds. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (XLIII-B2-2020), 473-478. doi:10.5194/isprs-archives-XLIII-B2-2020-473-2020
Peer Reviewed verified by ORBi

Poux, F., & Ponciano, J.-J. (12 August 2020). SELF-LEARNING ONTOLOGY FOR INSTANCE SEGMENTATION OF 3D INDOOR POINT CLOUD. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII (B2), 309–316. doi:10.5194/isprs-archives-XLIII-B2-2020-309-2020
Peer Reviewed verified by ORBi

Poux, F., Valembois, Q., Mattes, C., Kobbelt, L., & Billen, R. (11 August 2020). Initial User-Centered Design of a Virtual Reality Heritage System: Applications for Digital Tourism. Remote Sensing, 12 (16), 2583. doi:10.3390/rs12162583
Peer Reviewed verified by ORBi

Bassier, M., Vergauwen, M., & Poux, F. (11 July 2020). Point Cloud vs. Mesh Features for Building Interior Classification. Remote Sensing, 12 (14), 2224. doi:10.3390/rs12142224
Peer Reviewed verified by ORBi

Poux, F. (2020). Fundamentals to clustering high-dimensional data (3D point clouds). Towards Data Science.

Poux, F. (28 May 2020). Automatic extraction and management of semantics within point cloud data [Paper presentation]. NCG Point Clouds Seminar, Virtual Conference (Twente - TU Delft), Netherlands.

Poux, F. (2020). How to represent 3D Data? Towards Data Science.
Peer reviewed

Poux, F. (2020). 5-Step Guide to generate 3D meshes from point clouds with Python. Towards Data Science.

Poux, F. (2020). Discover 3D Point Cloud Processing with Python. Towards Data Science.

Poux, F. (2020). The Future of 3D Point Clouds: a new perspective. Towards Data Science.

Poux, F. (05 December 2019). The Smart Point Cloud Model: Integration of point intelligence [Paper presentation]. 2nd International Workshop on Point Cloud Processing, Stuttgart, Germany.

Kharroubi, A., Hajji, R., Billen, R., & Poux, F. (29 November 2019). CLASSIFICATION AND INTEGRATION OF MASSIVE 3D POINTS CLOUDS IN A VIRTUAL REALITY (VR) ENVIRONMENT. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2 (W17), 165-171. doi:10.5194/isprs-archives-XLII-2-W17-165-2019
Peer Reviewed verified by ORBi

Tabkha, A., Hajji, R., Billen, R., & Poux, F. (29 November 2019). Semantic enrichment of point cloud by automatic extraction and enhancement of 360° panoramas. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2 (W17), 355-362. doi:10.5194/isprs-archives-XLII-2-W17-355-2019
Peer Reviewed verified by ORBi

Poux, F. (29 October 2019). 3D Point Clouds on the Web: A cost-efficient support for decision making [Paper presentation]. Plateformes numériques et patrimoines : quels apports pour la recherche et la médiation ?, Liège, Belgium.

Poux, F., & Billen, R. (2019). Smart point clouds : Les dernières avancées en termes de structuration des nuages de points [Paper presentation]. GeoExpo, Ciney, Belgium.

Poux, F., & Billen, R. (2019). A Smart Point Cloud Infrastructure for intelligent environments. In R. Lindenbergh & B. Riveiro-Rodríguez (Eds.), Laser scanning: an emerging technology in structural engineering (1st Edition, pp. 127-149). London, United Kingdom: CRC Press. doi:10.1201/9781351018869
Peer reviewed

Poux, F. (2019). The Smart Point Cloud: Structuring 3D intelligent point data [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/235520

Poux, F., & Billen, R. (07 May 2019). Voxel-Based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods. ISPRS International Journal of Geo-Information, 8 (5), 213. doi:10.3390/IJGI8050213
Peer Reviewed verified by ORBi

Neuville, R., Pouliot, J., Poux, F., & Billen, R. (23 January 2019). 3D Viewpoint Management and Navigation in Urban Planning: Application to the Exploratory Phase. Remote Sensing, 11 (3), 236. doi:10.3390/rs11030236
Peer Reviewed verified by ORBi

Hallot, P., Poux, F., Neuville, R., & Billen, R. (18 October 2018). Utilisation des technologies d’acquisition 3D comme support à la compréhension matérielle de certains décors en partant du cas de l’oratoire de Germigny-des-Prés [Paper presentation]. Techniques, Décors et Patrimoine - Nécessités et limites d'intervention, Beez, Belgium.

Poux, F., Neuville, R., Nys, G.-A., & Billen, R. (05 September 2018). 3D Point Cloud Semantic Modelling: Integrated Framework for Indoor Spaces and Furniture. Remote Sensing, 10 (9), 1412. doi:10.3390/rs10091412
Peer Reviewed verified by ORBi

Billen, R., Jonlet, B., Luczfalvy Jancsó, A., Neuville, R., Nys, G.-A., Poux, F., Van Ruymbeke, M., Piavaux, M., & Hallot, P. (2018). La transition numérique dans le domaine du patrimoine bâti: un retour d'expériences. In Bulletin de la commission royale des monuments, sites et fouilles - Tome 30 (pp. 119-148). Commission royale des Monuments, Sites et Fouilles de la Région wallonne.

Poux, F., & Hallot, P. (01 June 2018). Smart Point Clouds for information modelling: application in Cultural Heritage [Paper presentation]. Journées d’études "Le numérique : outil d’étude de la valeur patrimoniale !", Paris, France.

Neuville, R., Pouliot, J., Poux, F., De Rudder, L., & Billen, R. (18 May 2018). A Formalized 3D Geovisualization Illustrated to Selectivity Purpose of Virtual 3D City Model. ISPRS International Journal of Geo-Information, 7 (5). doi:10.3390/ijgi7050194
Peer Reviewed verified by ORBi

Poux, F., Billen, R. (Other coll.), Hallot, P. (Other coll.), Luczfalvy Jancsó, A. (Other coll.), Neuville, R. (Other coll.), Nys, G.-A. (Other coll.), & Van Wersch, L. (Other coll.). (08 March 2018). Fusion de données lasergrammétriques/photogrammétriques et techniques d'extraction d'information archéologique sur base de nuage de points 3D [Paper presentation]. Patrimoine, modélisation numérique et systèmes d’acquisition d’informations : les enjeux actuels de la recherche, Lille, France.

Poux, F., Luczfalvy Jancsó, A. (Other coll.), Jonlet, B. (Other coll.), & Billen, R. (Other coll.). (08 March 2018). Numérisation 3D par lasergrammétrie et photogrammétrie: applications à la Réalité Virtuelle [Paper presentation]. Patrimoine, modélisation numérique et systèmes d’acquisition d’informations : les enjeux actuels de la recherche, Lille, France.

Luczfalvy Jancsó, A., Hoffsummer, P., Billen, R., Jonlet, B., Hallot, P., & Poux, F. (2018). CASTLE4D : The Castle of Franchimont (Theux, Province of Liège, Belgium). In P. Ettel, A.-M. Flambard Héricher, ... K. O'Conor (Eds.), Château Gaillard 28 - L'environnement du château (pp. 191-195). Caen, France: Presses universitaires de Caen.

Van Wersch, L., Hocquet, F.-P., Strivay, D., Poux, F., Billen, R., Kronz, A., Simon, K., Camerlynck, C., & Sapin, C. (2018). Recherches récentes sur le site de Germigny-des-Prés (Loiret, France) [Paper presentation]. Journées archéologiques de la Région Centre Val-de-Loire, Tours, France.

Van Wersch, L., Hocquet, F.-P., Strivay, D., Poux, F., Billen, R., Kronz, A., Simon, K., Camerlynck, C., & Sapin, C. (2018). The carolingian site of Germigny-des-Prés (Loiret, France), micro and macro-scales methods for the identification of a mosaic production [Poster presentation]. 42d Syposium of archaeometry, ISA 2018, Merida, Mexico.
Peer reviewed

Luczfalvy Jancsó, A., Jonlet, B., Hallot, P., Poux, F., Piavaux, M., & Billen, R. (2018). La cathédrale Saint-Paul de Liège : une méthodologie pour l’acquisition de données 3D. Bulletin du Centre de Recherches Archéologiques et Historiques de Normandie-Société Normande d'Etudes Préhistoriques. Hors-série, (1), 39-51.

Billen, R., Poux, F., & Van Ruymbeke, M. (02 November 2017). Smart Point Clouds for information modelling: application in Cultural Heritage [Paper presentation]. Annual Netherlands Centre for Geodesy and Geo-Informatics (NCG) Symposium, Delft, Netherlands.

Poux, F., Neuville, R., Hallot, P., & Billen, R. (26 October 2017). MODEL FOR REASONING FROM SEMANTICALLY RICH POINT CLOUD DATA. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-4/W5, 107-115. doi:10.5194/isprs-annals-IV-4-W5-107-2017
Peer Reviewed verified by ORBi

Neuville, R., Pouliot, J., Poux, F., Hallot, P., De Rudder, L., & Billen, R. (26 October 2017). TOWARDS A DECISION SUPPORT TOOL FOR 3D VISUALISATION: APPLICATION TO SELECTIVITY PURPOSE OF SINGLE OBJECT IN A 3D CITY SCENE. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-4/W5, 91-97. doi:10.5194/isprs-annals-IV-4-W5-91-2017
Peer Reviewed verified by ORBi

Poux, F., Neuville, R., Van Wersch, L., Nys, G.-A., & Billen, R. (30 September 2017). 3D Point Clouds in Archaeology: Advances in Acquisition, Processing and Knowledge Integration Applied to Quasi-Planar Objects. Geosciences, 7 (4), 96. doi:10.3390/geosciences7040096
Peer Reviewed verified by ORBi

Poux, F., Neuville, R., Kasprzyk, J.-P., Nys, G.-A., Hallot, P., Luczfalvy Jancsó, A., Jonlet, B., & Billen, R. (12 September 2017). LiDAR aérien et autres nuages de points pour la cartographie multi-échelles [Paper presentation]. Workshop LiDAR, Namur, Belgium.

Poux, F., Neuville, R., Hallot, P., & Billen, R. (16 August 2017). POINT CLOUD CLASSIFICATION OF TESSERAE FROM TERRESTRIAL LASER DATA COMBINED WITH DENSE IMAGE MATCHING FOR ARCHAEOLOGICAL INFORMATION EXTRACTION. International Journal on Advances in Life Sciences, IV-2/W2, 203-211. doi:10.5194/isprs-annals-IV-2-W2-203-2017
Peer reviewed

Poux, F., Neuville, R., Hallot, P., Van Wersch, L., Luczfalvy Jancsó, A., & Billen, R. (2017). DIGITAL INVESTIGATIONS OF AN ARCHAEOLOGICAL SMART POINT CLOUD: A REAL TIME WEB-BASED PLATFORM TO MANAGE THE VISUALISATION OF SEMANTICAL QUERIES. In Conservation of Cultural Heritage in the Digital Era (pp. 581-588). doi:10.5194/isprs-archives-XLII-5-W1-581-2017
Peer reviewed

Poux, F., Neuville, R., Hallot, P., & Billen, R. (2016). Point Clouds as an Efficient Multiscale Layered Spatial Representation. In V. Tourre & F. Biljecki (Eds.), UDMV16: Eurographics Workshop on Urban Data Modelling and Visualisation. Geneve, Switzerland: The Eurographics Association. doi:10.2312/udmv.20161417
Peer reviewed

Neuville, R., Poux, F., Hallot, P., & Billen, R. (05 October 2016). Towards a normalised 3D Geovisualisation : the viewpoint management. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2 (W1), 179-186. doi:10.5194/isprs-annals-IV-2-W1-179-2016
Peer Reviewed verified by ORBi

Poux, F., Neuville, R., Hallot, P., & Billen, R. (05 October 2016). SMART POINT CLOUD: DEFINITION AND REMAINING CHALLENGES. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2 (W1), 119-127. doi:10.5194/isprs-annals-IV-2-W1-1-2016
Peer Reviewed verified by ORBi

Hallot, P., Billen, R., Poux, F., Van Ruymbeke, M., Neuville, R., & Luczfalvy Jancsó, A. (23 September 2016). Applications des relevés 3D au patrimoine, de l'acquisition au système d'information 3D [Paper presentation]. 13ème Journées de la Topographie - Données topographiques du futur : du numérique au virtuel.

Luczfalvy Jancsó, A., Hoffsummer, P., Billen, R., Jonlet, B., Hallot, P., & Poux, F. (16 August 2016). CASTLE4D : The castle of Franchimont [Poster presentation]. Château Gaillard XXVIII - Castles and Landscapes, Roscommon, Ireland.

Billen, R., Van Ruymbeke, M., Pfeiffer, M., Carré, C., Jonlet, B., Poux, F., Luczfalvy Jancsó, A., Neuville, R., & Hallot, P. (20 April 2016). Vers des systèmes d’information archéologique : maquette virtuelle et nuages de points intelligents [Paper presentation]. Maquettes et restitutions, Lille, France.

Billen, R., Poux, F., Hallot, P., Jonlet, B., & Luczfalvy Jancsó, A. (17 February 2016). Le patrimoine en 3D : de l’acquisition aux nuages de points intelligents [Paper presentation]. 19ème conférence Patrimoine du master complémentaire en conservation et restauration du patrimoine culturel immobilier, Centre des métiers du patrimoine « la Paix Dieu », Amay, Belgium.

Luczfalvy Jancsó, A., Billen, R., Hoffsummer, P., Jonlet, B., Hallot, P., & Poux, F. (2016). CASTLE4D: An Archaeological Information System Based on 3D Point Clouds. In J. L. Lerma & M. Cabrelles (Eds.), Proceedings of the Arqueológica 2.0 - 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation : Universitat Politècnica de València, Valence 5-7 septembre 2016 (pp. 247-252). València, Spain: Editorial Universitat Politècnica de València. doi:10.4995/arqueologica8.2016.4210
Peer reviewed

Poux, F., & Billen, R. (17 December 2015). Smart point cloud: Toward an intelligent documentation of our world [Paper presentation]. The Professionnal Conference (PCON) 2015, Liège, Belgium.

Novel, C., Keriven, R., Poux, F., & Graindorge, P. (25 November 2015). Comparing photogrammetry and laser scanning: a 3D reconstruction of the Castle of Penne [Paper presentation]. Capturing Reality Forum 2015, Salzburg, Austria.

Poux, F., Hallot, P., Jonlet, B., Carré, C., & Billen, R. (December 2014). Segmentation semi-automatique pour le traitement de données 3D denses : application au patrimoine architectural. XYZ: la Revue de l'Association Française de Topographie, 141 (36), 69-75.
Peer reviewed

Poux, F. (2014). Vers de nouvelles perspectives lasergrammétriques. Sarrebruck, Germany: EUE.

Poux, F., & Billen, R. (06 September 2013). Semi-automatic and versatile point-cloud segmentation by region growing based on normal estimation [Poster presentation]. 14ème CIPA International Symposium, Strasbourg, France.

Poux, F., & Billen, R. (02 September 2013). Recording, Documentation and Cooperation for Cultural Heritage [Poster presentation]. CIPA13, Strasbourg, France.

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