I am a machine learning researcher at Imagine-lab, ENPC, and associate researcher at IGN (The French Mapping Agency) in the LASTIG lab. I am interested in geospatial machine learning and work with 3D point clouds and satellite image time-series.
– Editorial Advisory Board of ISPRS Journal (Elsevier, IF:11.8) & Reviewing Committee of Remote Sensing (MDPI, IF:5.3).
– Co-chair of the ISPRS working group Temporal Geospatial Data Understanding
– Co-lead of the IEEE GRSS working group Image and Signal Processing
– Co-organizer of the EarthVision CVPR Workshop (2021,2022,2023)
– Co-Program chair of the XXIVth ISPRS congress
– Principal investigator of the ReADy3D ANR project on Dynamic 3D analysis for autonomous driving.
See my academic_CV for more details (updated in June 2023).
PhD offer with EFEO on machine learning for digital archeology.
🆕 I defended my Habilitation à Diriger la Recherche (HDR)!
🆕 Just started at Imagine-lab, ENPC.
🆕 Our Workshop EarthVision has been renewed at CVPR2023. A great line-up of speakers, contests, and a must-attend event for researchers interested in remote sensing and computer vision.
🆕 My twins were born in October! 🍼🍼
🆕 Outstanding reviewer for ECCV22 and ISPRS-Congress 22.
🆕 Our paper on interpretable sound discovery with Romain Loiseau has been accepted at ISMIR2022.
🆕 Our paper on Online LiDAR segmentation with Romain Loiseau et Mathieu Aubry has been accepted at ECCV2022.
🆕 Our paper Deep View Aggregation with Damien Robert has been accepted at CVPR2022 for an oral 🎤, and was selected as a best paper finalist (top 33/2104).
🆕 3 workshop papers at CVPR2022 with my Romain Loiseau and Ekaterina Kalinicheva : Transformers for Vision, Sight and Sound, and EarthVision.
🆕 Our paper on surface reconstruction with Raphael Sulzer, Renaud Marlet, Alexandre Boulch and Bruno Vallet is accepted at ICPR2022.
🆕 Our paper on multimodal SITS analysis with Vivien Sainte-Fare Garnot has been published in IJPRS.
🆕 Outstanding reviewer for ICML21 and CVPR21.
🆕 Our paper on unsupervised and visual representation of large shape collections with Romain Loiseau, Tom Monnier, and Mathieu Aubry has been accepted at 3DV2021.
🆕 Our paper on panoptic segmentation of satellite time series, with Vivien Sainte-Fare Garnot has been accepted at ICCV2021. Check out PASTIS: the first SITS panoptic-ready dataset.
Selected Articles














STUDENTS:
List of current and past PhD/Post Doc students:
Stéphane Guinard (now at Univ. Laval)
Mohamed Boussaha (now at Gambi-M)
Vivien Sainte-Fare Garnot (now at Univ. of Zurich)
Raphael Sulzer (now at INRIA Titane)
Ekaterina Kalinicheva (post doc, now at CESBIO)
Romain Loiseau
Damien Robert
List of current and past interns:
Stephane Guinard, Simon Bailly, Omar Lahbib, Joana Roussillon, Thomas Luo (Helix.Re), Anna Kondracka (Vermessung AVT), Lamiae El-Mendili, Ameur Zaibi, Julien Baconat, Cédric Baron, Félix Quinton, Yaping Lin, Dina El-Zein, Guillaume Astruc, Hongyu Zhou.
I teach machine learning at master level at ENSG and ENPC.
I am a technical advisor for SAMP, a startup using machine learning to produce digital twins of industrial facilities.
I review for ICML, NeurIPS, ICCV, ECCV, CVPR, ACCV, BMVC, IJCV, PAMI, ANRT, IJPRS, TIP, ISPRS etc…
I was selected as oustanding reviewer for ICML21, CVPR21, ECCV22, and ISPRS-Congress22.