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ORCIDJérôme Pasquet
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2020 – today
- 2024
[j2]Théo Oriol, Jérôme Pasquet, Jérôme Cortet:
Automatic identification of Collembola with deep learning techniques. Ecol. Informatics 81: 102606 (2024)- [c12]Théo Oriol, Lionel Pibre, Jérôme Pasquet, Zamirddine Mari:
Boxes to Segmentation to Boxes Again for a Better Detection. IPTA 2024: 1-6 - 2023
- [i4]Anass Bairouk, Marc Chaumont, Dominique Fouchez, Jérôme Pasquet, Frédéric Comby, Julián Bautista:
Astronomical image time series classification using CONVolutional attENTION (ConvEntion). CoRR abs/2304.01236 (2023) - 2022
- [c11]Lionel Pibre, Jérôme Pasquet, Vincent Douzal, Claire Noël:
New Active Learning Approach for Seabed Segmentation. ICIP 2022: 2736-2740 - 2021
- [i3]Qiufan Lin, Dominique Fouchez, Jérôme Pasquet:
Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks. CoRR abs/2101.07389 (2021) - 2020
- [c10]Qiufan Lin, Dominique Fouchez, Jérôme Pasquet:
Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks. ICPR 2020: 5634-5641
2010 – 2019
- 2019
- [c9]Anthony Brunel, Johanna Pasquet, Jérôme Pasquet, Nancy Rodriguez, Frédéric Comby, Dominique Fouchez, Marc Chaumont:
A CNN adapted to time series for the classification of Supernovae. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2019: 1-9 - [i2]Anthony Brunel, Johanna Pasquet, Jérôme Pasquet, Nancy Rodriguez
, Frédéric Comby, Dominique Fouchez, Marc Chaumont:
A CNN adapted to time series for the classification of Supernovae. CoRR abs/1901.00461 (2019) - 2018
- [c8]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:
Cultural Heritage Resources Profiling: Ontology-based Approach. WWW (Companion Volume) 2018: 1489-1496 - 2016
- [j1]Jérôme Pasquet, Thibault Désert, Olivier Bartoli, Marc Chaumont, Carole Delenne, Gérard Subsol, Mustapha Derras, Nanee Chahinian:
Detection of Manhole Covers in High-Resolution Aerial Images of Urban Areas by Combining Two Methods. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(5): 1802-1807 (2016) - [c7]Jérôme Pasquet, Marc Chaumont, Gérard Subsol, Mustapha Derras:
Speeding-up a convolutional neural network by connecting an SVM network. ICIP 2016: 2286-2290 - [c6]Lionel Pibre, Jérôme Pasquet, Dino Ienco, Marc Chaumont:
Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover sourcemismatch. Media Watermarking, Security, and Forensics 2016: 1-11 - [c5]Jérôme Pasquet, Gérard Subsol, Mustapha Derras, Marc Chaumont:
Optimizing color information processing inside an SVM network. Visual Information Processing and Communication 2016: 1-6 - 2015
- [c4]Jérôme Pasquet, Thibault Désert, Olivier Bartoli, Marc Chaumont, Carole Delenne, Gérard Subsol, Mustapha Derras, Nanee Chahinian:
Detection of manhole covers in high-resolution aerial images of urban areas by combining two methods. JURSE 2015: 1-4 - [c3]Jérôme Pasquet, Marc Chaumont, Gérard Subsol, Mustapha Derras:
An efficient multi-resolution SVM network approach for object detection in aerial images. MLSP 2015: 1-6 - [i1]Lionel Pibre, Jérôme Pasquet, Dino Ienco, Marc Chaumont:
Deep Learning for steganalysis is better than a Rich Model with an Ensemble Classifier, and is natively robust to the cover source-mismatch. CoRR abs/1511.04855 (2015) - 2014
- [c2]Jérôme Pasquet, Sandra Bringay, Marc Chaumont:
Steganalysis with cover-source mismatch and a small learning database. EUSIPCO 2014: 2425-2429 - 2013
- [c1]Marc Chaumont, L. Tribouillard, Gérard Subsol, F. Courtade, Jérôme Pasquet, Mustapha Derras:
Automatic localization of tombs in aerial imagery: Application to the digital archiving of cemetery heritage. Digital Heritage (1) 2013: 657-660
Coauthor Index
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