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Gianni Franchi
Gianni Franchi
U2IS, ENSTA Paris, Institut Polytechnique de Paris
Verified email at ensta-paris.fr
Title
Cited by
Cited by
Year
Deep morphological networks
G Franchi, A Fehri, A Yao
Pattern Recognition 102, 107246, 2020
502020
TRADI: Tracking deep neural network weight distributions
G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
342020
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case
N Díaz-Rodríguez, A Lamas, J Sanchez, G Franchi, I Donadello, S Tabik, ...
Information Fusion 79, 58-83, 2022
252022
Morphological principal component analysis for hyperspectral image analysis
G Franchi, J Angulo
ISPRS International Journal of Geo-Information 5 (6), 83, 2016
202016
One versus all for deep neural network incertitude (OVNNI) quantification
G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch
arXiv preprint arXiv:2006.00954, 2020
122020
Ordering on the probability simplex of endmembers for hyperspectral morphological image processing
G Franchi, J Angulo
Mathematical Morphology and Its Applications to Signal and Image Processing …, 2015
112015
Comparative study on morphological principal component analysis of hyperspectral images
G Franchi, J Angulo
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014
112014
Bagging stochastic watershed on natural color image segmentation
G Franchi, J Angulo
Mathematical Morphology and Its Applications to Signal and Image Processing …, 2015
102015
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification
G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch
arXiv preprint arXiv:2012.02818, 2020
92020
Hyperspectral image classification with support vector machines on kernel distribution embeddings
G Franchi, J Angulo, D Sejdinović
2016 IEEE International conference on image processing (ICIP), 1898-1902, 2016
82016
Robust Semantic Segmentation with Superpixel-Mix
G Franchi, N Belkhir, ML Ha, Y Hu, A Bursuc, V Blanz, A Yao
arXiv preprint arXiv:2108.00968v2, 2021
72021
Enhanced EDX images by fusion of multimodal SEM images using pansharpening techniques
G Franchi, J Angulo, M Moreaud, L Sorbier
Journal of microscopy 269 (1), 94-112, 2018
72018
A deep spatial/spectral descriptor of hyperspectral texture using scattering transform
G Franchi, J Angulo
2016 IEEE International Conference on Image Processing (ICIP), 3568-3572, 2016
72016
SLURP: Side learning uncertainty for regression problems
X Yu, G Franchi, E Aldea
arXiv preprint arXiv:2110.11182, 2021
52021
Supervised deep kriging for single-image super-resolution
G Franchi, A Yao, A Kolb
Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019
42019
Segmentation and shape extraction from convolutional neural networks
ML Ha, G Franchi, M Moller, A Kolb, V Blanz
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1509-1518, 2018
42018
Quantization of hyperspectral image manifold using probabilistic distances
G Franchi, J Angulo
Geometric Science of Information: Second International Conference, GSI 2015 …, 2015
42015
Learning deep morphological networks with neural architecture search
Y Hu, N Belkhir, J Angulo, A Yao, G Franchi
Pattern Recognition 131, 108893, 2022
32022
Tracking hundreds of people in densely crowded scenes with particle filtering supervising deep convolutional neural networks
G Franchi, E Aldea, S Dubuisson, I Bloch
2020 IEEE International Conference on Image Processing (ICIP), 2071-2075, 2020
32020
MUAD: Multiple uncertainties for autonomous driving benchmark for multiple uncertainty types and tasks
G Franchi, X Yu, A Bursuc, R Kazmierczak, S Dubuisson, E Aldea, D Filliat
arXiv preprint arXiv:2203.01437, 2022
22022
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