Bertrand Le Saux

[June 2022] On June 19th, I co-organise the 6th Earth Vision workshop held in conjunction with CVPR 2022
[May 2022] On May 30th, I will give a keynote talk on Quantum Computing for Earth Observation at the Summer School of the IEEE GRSS working group on High Performance and Disruptive Computing
[May 2022] On May 20th, I am delighted to be reviewer in the PhD Defence committee of Nico Lang at ETH Zurich, along with Konrad Schindler (ETHZ / Photogramm. and Remote Sensing Group ), Jan Dirk Wegner (Univ. of Zurich / EcoVision), Irena Hajnsek (ETHZ) and Walter Jetz (Yale University).
[May 2022] On May 4th, I will give a keynote talk on AI4EO, Present and Future at the Swiss Remote Sensing Days 2022 in Ascona, Ticino (CH).
[February 2022] I co-organise the Hyperview challenge for soil component estimation from hyperspectral images. Start now and grand final at ICIP’2022.
[January 2022] I co-organise (one more time!) with Javiera Castillo-Navarro, Ronny Haensch et al. the IEEE GRSS Data Fusion Contest 2022 of the IEEE GRSS IADF Working group. We provide a new version of MiniFrance augmented with an elevation model, MiniFrance-DFC22, to propose a worldwide benchmark and competition for semi-supervised semantic segmentation in Earth observation.
[December 2021] New paper “On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification” published in JSTARS with Alessandro Sebastianelli and Daniela Zaidenberg as first authors and Dario Spiller and Silvia Ullo.
[November 2021] New paper on “Energy-based Models in Earth Observation: from Generation to Semi-supervised Learning” published in TGRS with Javiera Castillo-Navarro, Alexandre Boulch and Sébastien Lefèvre.
[November 2021] I co-organise the ESA 5th Quantum Technology Conference and chair a session on “Quantum Computing” with speakers Seth Lloyd and Sofia Vallecorsa on Nov. 25.
[November 2021] I co-organise the ESA - ECMWF 2nd Workshop on Machine Learning for Earth System Observation and Prediction and chair a session on “Enhancing Satellite Observation with Machine Learning” with speakers Ribana Roscher and Diego Valsesia on Nov. 15.