We gave a presentation on better generic object counting in the framework of Visual Question Answering for Remote Sensing (RSVQA) at the virtual event of the 2020 ISPRS congress.
RSVQA is a new project which aims at changing the way we extract information from remote sensing images. If you missed the presentation, you can watch it here:
If you want to know more about RSVQA, you can consult the
project’s page (including links to related articles) or download the conference paper.
Posted in Presentations, Publications, RSVQA |
Tagged CNN, Computer Vision, Conference, Counting, ISPRS, Publication, Regression, remote sensing, RNN, RSVQA, VQA
On the 16th of September, I gave a workshop on
Deep Learning for Remote Sensing together with Ahmed Samy Nassar from IRISA in France. This workshop was given at the Nordic Remote Sensing Conference ( NoRSC) which took place in the Aarhus Institute of Advanced Studies, Denmark. In addition to Ahmed, this workshop was also prepared by Diego Marcos.
The first part of the tutorial was a general introduction on Deep learning, which lead to two practicals (one on classification, and the second on semantic segmentation) focused on remote sensing data. Both practicals were made using Jupyter notebooks, which the attendees can reuse to bootstrap their next project!
We would like to thank the 36 people who attended this workshop!
I presented a selection of works done with my colleagues at the
Laboratory of Geoinformation Science and Remote Sensing at Wageningen University and Research at the Φ-Week event organized by ESA.
I talked about our vision on how to use deep learning models to extract information from remote sensing data.
The conference was live-streamed and the replay is available below (my talk starts at 45′)!