Nicola Pellicanò
Nicola Pellicanò
Samsung, Paris
Verified email at samsung.com
Title
Cited by
Cited by
Year
Geometry-based multiple camera head detection in dense crowds
N Pellicanò, E Aldea, SL Hégarat-Mascle
arXiv preprint arXiv:1808.00856, 2018
82018
Robust wide baseline pose estimation from video
N Pellicanò, E Aldea, S Le Hégarat-Mascle
2016 23rd International Conference on Pattern Recognition (ICPR), 3820-3825, 2016
52016
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
Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning
A Tamborrino, N Pellicano, B Pannier, P Voitot, L Naudin
arXiv preprint arXiv:2004.14074, 2020
32020
2CoBel: A scalable belief function representation for 2D discernment frames
N Pellicanò, S Le Hégarat-Mascle, E Aldea
International Journal of Approximate Reasoning 103, 320-342, 2018
32018
Wide baseline pose estimation from video with a density-based uncertainty model
N Pellicanò, E Aldea, S Le Hégarat-Mascle
Machine Vision and Applications 30 (6), 1041-1059, 2019
12019
2CoBei: An Efficient Belief Function Extension for Two-Dimensional Continuous Spaces
N Pellicanò, S Le Heaarat-Mascle, E Aldea
2018 21st International Conference on Information Fusion (FUSION), 1032-1039, 2018
12018
Tackling pedestrian detection in large scenes with multiple views and representations
N Pellicanò
2018
GPU-accelerated Height Map Estimation with Local Geometry Priors in Large Scenes
A Rezaei, N Pellicano, E Aldea
2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018
2018
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Articles 1–9