no code implementations • 21 Mar 2024 • Gerry Chen, Sunil Kumar Narayanan, Thomas Gautier Ottou, Benjamin Missaoui, Harsh Muriki, Cédric Pradalier, YongSheng Chen
Hyperspectral Imagery (HSI) has been used in many applications to non-destructively determine the material and/or chemical compositions of samples.
1 code implementation • 22 Aug 2023 • Salim Khazem, Jeremy Fix, Cédric Pradalier
In this paper, we address the task of predicting the location of inner defects from the outer shape of the logs.
1 code implementation • 16 Aug 2023 • Aishwarya Venkataramanan, Martin Laviale, Cédric Pradalier
Most of the research in content-based image retrieval (CBIR) focus on developing robust feature representations that can effectively retrieve instances from a database of images that are visually similar to a query.
no code implementations • 9 Feb 2022 • Assia Benbihi, Cédric Pradalier, Ondřej Chum
Direct matching of local features is sensitive to significant changes in illumination.
no code implementations • 24 Sep 2021 • Aishwarya Venkataramanan, Martin Laviale, Cécile Figus, Philippe Usseglio-Polatera, Cédric Pradalier
In this paper, we propose to account for it by partitioning the classes with high variance based on the visual features.
no code implementations • 11 Feb 2020 • Mohamed Mejri, Antoine Richard, Cédric Pradalier
Our goal is to design neural-network-based methods to predict the internal density of the tree from its external bark shape.
1 code implementation • 28 Oct 2019 • Assia Benbihi, Stéphanie Aravecchia, Matthieu Geist, Cédric Pradalier
It is built from the wavelet transforms of the image semantic edges.
2 code implementations • ICCV 2019 • Assia Benbihi, Matthieu Geist, Cédric Pradalier
These results show that a CNN trained on a standard task embeds feature location information that is as relevant as when the CNN is specifically trained for feature detection.
no code implementations • 10 May 2018 • Assia Benbihi, Matthieu Geist, Cédric Pradalier
Deep learning generates state-of-the-art semantic segmentation provided that a large number of images together with pixel-wise annotations are available.