Jérôme Pasquet

According to our database, Jérôme Pasquet authored at least 15 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Automatic identification of Collembola with deep learning techniques.

Théo Oriol, Jérôme Pasquet, Jérôme Cortet

Ecol. Informatics, 2024

Boxes to Segmentation to Boxes Again for a Better Detection.

Théo Oriol, Lionel Pibre, Jérôme Pasquet, Zamirddine Mari

Proceedings of the Thirteenth IEEE International Conference on Image Processing Theory, 2024

2023

Astronomical image time series classification using CONVolutional attENTION (ConvEntion).

Anass Bairouk, Marc Chaumont, Dominique Fouchez, Jérôme Pasquet, Frédéric Comby, Julián Bautista

CoRR, 2023

2022

New Active Learning Approach for Seabed Segmentation.

Lionel Pibre, Jérôme Pasquet, Vincent Douzal, Claire Noël

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2020

Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks.

Qiufan Lin, Dominique Fouchez, Jérôme Pasquet

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

A CNN adapted to time series for the classification of Supernovae.

Anthony Brunel, Johanna Pasquet, Jérôme Pasquet, Nancy Rodriguez, Frédéric Comby, Dominique Fouchez, Marc Chaumont

Proceedings of the Color Imaging XXIV: Displaying, 2019

2018

Cultural Heritage Resources Profiling: Ontology-based Approach.

Mohamed Ben Ellefi, Odile Papini, Djamal Merad, Jean-Marc Boï, Jean-Philip Royer, Jérôme Pasquet, Jean-Christophe Sourisseau, Filipe Castro, Mohamad Motasem Nawaf, Pierre Drap

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2016

Detection of Manhole Covers in High-Resolution Aerial Images of Urban Areas by Combining Two Methods.

Jérôme Pasquet, Thibault Désert, Olivier Bartoli, Marc Chaumont, Carole Delenne, Gérard Subsol, Mustapha Derras, Nanee Chahinian

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Optimizing color information processing inside an SVM network.

Jérôme Pasquet, Gérard Subsol, Mustapha Derras, Marc Chaumont

Proceedings of the Visual Information Processing and Communication VII, 2016

Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover sourcemismatch.

Lionel Pibre, Jérôme Pasquet, Dino Ienco, Marc Chaumont

Proceedings of the Media Watermarking, 2016

Speeding-up a convolutional neural network by connecting an SVM network.

Jérôme Pasquet, Marc Chaumont, Gérard Subsol, Mustapha Derras

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Deep Learning for steganalysis is better than a Rich Model with an Ensemble Classifier, and is natively robust to the cover source-mismatch.

Lionel Pibre, Jérôme Pasquet, Dino Ienco, Marc Chaumont

CoRR, 2015

An efficient multi-resolution SVM network approach for object detection in aerial images.

Jérôme Pasquet, Marc Chaumont, Gérard Subsol, Mustapha Derras

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

2014

Steganalysis with cover-source mismatch and a small learning database.

Jérôme Pasquet, Sandra Bringay, Marc Chaumont

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Automatic localization of tombs in aerial imagery: Application to the digital archiving of cemetery heritage.

Marc Chaumont, L. Tribouillard, Gérard Subsol, F. Courtade, Jérôme Pasquet, Mustapha Derras

Proceedings of the 1st Digital Heritage International Congress, 2013