Publications and communications of Poux, Florent

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

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

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

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). 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 presented at Conférence automatisation, relevés 3D et intelligence artificielle, Laval, Canada.

Poux, F. (20 October 2020). Nuages de points, segments, sémantique et automatisation. Paper presented at 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

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

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

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

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

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

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

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

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 presented at NCG Point Clouds Seminar, Virtual Conference (Twente - TU Delft), Netherlands.

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

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 presented at 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

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

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

Poux, F. (2019). The Smart Point Cloud: Structuring 3D intelligent point data. Unpublished doctoral thesis, ULiège - Université de Liège.
Jury: Billen, R. (Promotor), Hallot, P., Grussenmeyer, P., Remondino, F., Van Oosterom, P., & Cornet, Y.

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

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

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

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.

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

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 presented at 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 presented at Patrimoine, modélisation numérique et systèmes d’acquisition d’informations : les enjeux actuels de la recherche, Lille, France.

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

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

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

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

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

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

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 presented at Maquettes et restitutions, Lille, France.

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

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.

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

Poux, F., & Billen, R. (02 September 2013). Recording, Documentation and Cooperation for Cultural Heritage. Poster session presented at CIPA13, Strasbourg, France.