Contact me if you want the presentations
– June 2022: CVPRW Earth Vision, organizer, chair, speaker
– June 2022: XXIV ISPRS Congress, program chair, session chair, invited speaker
– Apr 2022 : Valeo AI Research 3D structured learning
– Nov 2021: MacLean Workshop (keynote + tutorial) 3D Deep Learning for Remote sensing
– Nov 2021: International Seminar, (organizer) Deep Learning for Environment Monitoring (240+ registration)
– Oct 2021: ICCV Workshop, (keynote talk) Beyond Sliding Windows: Scaling Up 3D Deep Learning
– Oct 2021: ICCV, (poster) Panoptic Segmentation of SITS
– Oct 2021: LiDAR Workshop, (invited talk) 3D Deep Learning for LiDAR data
– July 2021: ISPRS Congress, (invited talk) 3D Deep Learning for Remote Sensing
– July 2021: CVPRW Earth Vision, co-organizer
– April 2021: Advances in Deep Learning for 3D Point Clouds Analysis, Institute for Computational Science at University of Zurich (UZH) (invited talk)
– April 2021: Advances in Deep Learning for 3D Point Clouds Analysis, SONY CSL Paris (invited talk)
– Nov 2020: Torch-Points3D: A Modular Multi-Task Framework-for Reproducible Deep Learning on 3D Point Clouds. 3DV2020 (oral)
– Oct 2020: 29th Conference of Research at IGN, co-organizer and speaker.
– Sept 2020: Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series, AALTD @ ECML/PKDD2020 (poster)
– June 2020: Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention, CVPR 2020 (oral)
– March 2020: Tutorial on Deep Learning for Remote Sensing at EduServ-EuroSDR, Champs-Sur-Marne
– March 2020: Talk at QuantCube Technology: Recent Advances in Large-Scale Learning for Remote Sensing Applications
– December 2019: Introduction to Machine Learning and Deep Learning at NIBIO, Norway.
– Decembre 2019: Keynote Speech on Deep Learning for 3D Point Cloud Segmentation at EuroSDR Workshop on Point Cloud Processing (JNRR), Stuttgart
– November 2019: Talk at Valeo Labs: Deep Learning for 3D Point Clouds
– October 2019: Keynote Speech on Deep Learning for 3D Point Cloud Segmentation at Journées Nationales de la Recherche en Robotique (JNRR), Vittel
– June 2019: CVPR, Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
– June 2019: ISPRS Geospatial week,  University of Twente, Netherlands, Tutorial on Deep Learning for Point Cloud Semantic Segmentation
– June 2019: EduServ remote course on Deep Learning for Remote Sensing
– May 2019: Facebook AI Research, Exploiting Graph Sparsity
– May 2019: Université de Montpelier, Cut Pursuit for Optimizing with Graph-Structured Regularization
– April 2019, Champs-sur-Marne, Co-organiser of the 28th Conference on IGN Research
– 2 Avril 2019, Univ. Paris-Est, Structured Deep Learning for 3D Point Cloud Semantic Segmentation
– March 2019, Champs-sur-Marne, Deep Metric Learning on 3D Point Clouds
– March 2019, Barcelona, Spain, EduServ, Deep Learning for Remote Sensing
– February 2019: Kigali, Rwanda, Teaching assistant at African Master of Machine Intelligence, Graphical Models with Guillaume Obozinski
– December 2018: University of Erlangen, Germany, Deep Metric Learning on Point Clouds
–  August 2018: Optimization in Image Analysis Summer School, Copenhagen
– July 2018: ICML2018, Stockholm: Cut-pursuit algorithm for Regularizing Non smooth Functionals with Graph Total Variation
– June 2018 : RFIAP2018, ENSG: Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
– June 2018: CVPR2018, Salt Lake City : Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs (Poster)
– June 2018 : SIAM symposium in Bologne, Graph Techniques for Image Processing
– June 2018 : NoMADS, Politecnico di Milano, Nonlocal Methods for Imaging
– May 2018 : FOSS-4G, ENSG: presentation of the SuperPointGraph repository