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Jennifer Vandoni
Jennifer Vandoni
ML Research Scientist, SAFRAN
Adresse e-mail validée de safrangroup.com
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Evidential query-by-committee active learning for pedestrian detection in high-density crowds
J Vandoni, E Aldea, S Le Hégarat-Mascle
International Journal of Approximate Reasoning 104, 166-184, 2019
452019
Efficient evaluation of the number of false alarm criterion
S Le Hégarat-Mascle, E Aldea, J Vandoni
EURASIP Journal on Image and Video Processing 2019 (1), 35, 2019
112019
Active learning for high-density crowd count regression
J Vandoni, E Aldea, S Le Hégarat-Mascle
2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017
72017
Crack detection based on a Marked Point Process model
J Vandoni, S Le Hégarat-Mascle, E Aldea
2016 23rd International Conference on Pattern Recognition (ICPR), 3933-3938, 2016
62016
Evaluating crowd density estimators via their uncertainty bounds
J Vandoni, E Aldea, S Le Hégarat-Mascle
2019 IEEE International Conference on Image Processing (ICIP), 4579-4583, 2019
52019
An evidential framework for pedestrian detection in high-density crowds
J Vandoni, E Aldea, S Le Hégarat-Mascle
2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017
42017
Protein motif retrieval by secondary structure element geometry and biological features saliency
V Cantoni, M Ferretti, N Pellicanò, J Vandoni, M Musci, N Nugrahaningsih
2014 25th International Workshop on Database and Expert Systems Applications …, 2014
42014
Belief function definition for ensemble methods-application to pedestrian detection in dense crowds
J Vandoni, S Le Hegarar-Mascle, E Aldea
2018 21st International Conference on Information Fusion (FUSION), 2481-2488, 2018
32018
Simulations for vision-based navigation and collision avoidance in unmanned aerial systems
H Mahé, M Ghoniem, V Copin, J Vandoni, J Farjon
2022 10th International Symposium on Optronics in Defence & Security (OPTRO), 2022
12022
Ensemble Methods for Pedestrian Detection in Dense Crowds
J Vandoni
Université Paris Saclay (COmUE), 2019
12019
Handling noisy annotations in deep supervised learning
I Lemghari, S Le-Hégarat, E Aldea, J Vandoni
Sixteenth International Conference on Quality Control by Artificial Vision …, 2023
2023
Augmenting Deep Learning Performance in an Evidential Multiple Classifier System
J Vandoni, S Le Hégarat-Mascle, E Aldea
Sensors 19 (21), 4664, 2019
2019
Crack Detection Based on a Marked Point Process Model (Supplementary Material)
J Vandoni, S Le Hégarat-Mascle, E Aldea
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