Jennifer Vandoni
Jennifer Vandoni
Verified email at u-psud.fr
Title
Cited by
Cited by
Year
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
232019
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
62017
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
42019
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
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
32019
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
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
32016
Ensemble Methods for Pedestrian Detection in Dense Crowds
J Vandoni
2019
Augmenting Deep Learning Performance in an Evidential Multiple Classifier System
J Vandoni, SL Hégarat-Mascle, E Aldea
Sensors 19 (21), 4664, 2019
2019
L’UNIVERSITE PARIS-SACLAY
MMQ TRAN, M Traore, S Travers, G Tresset, A Tulipe, V Turpin, M Ullah, ...
Crack Detection Based on a Marked Point Process Model (Supplementary Material)
J Vandoni, S Le Hégarat-Mascle, E Aldea
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Articles 1–12