Gianni Franchi
Gianni Franchi
U2IS, ENSTA Paris, Institut Polytechnique de Paris
Verified email at - Homepage
Cited by
Cited by
Deep morphological networks
G Franchi, A Fehri, A Yao
Pattern Recognition 102, 107246, 2020
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
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
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
Encoding the latent posterior of bayesian neural networks for uncertainty quantification
G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Muad: Multiple uncertainties for autonomous driving, a benchmark for multiple uncertainty types and tasks
G Franchi, X Yu, A Bursuc, A Tena, R Kazmierczak, S Dubuisson, E Aldea, ...
arXiv preprint arXiv:2203.01437, 2022
Morphological principal component analysis for hyperspectral image analysis
G Franchi, J Angulo
ISPRS international journal of geo-information 5 (6), 83, 2016
Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification
A Bennetot, G Franchi, J Del Ser, R Chatila, N Diaz-Rodriguez
Knowledge-Based Systems 258, 109947, 2022
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
Latent discriminant deterministic uncertainty
G Franchi, X Yu, A Bursuc, E Aldea, S Dubuisson, D Filliat
European Conference on Computer Vision, 243-260, 2022
Packed-ensembles for efficient uncertainty estimation
O Laurent, A Lafage, E Tartaglione, G Daniel, JM Martinez, A Bursuc, ...
arXiv preprint arXiv:2210.09184, 2022
Learning deep morphological networks with neural architecture search
Y Hu, N Belkhir, J Angulo, A Yao, G Franchi
Pattern Recognition 131, 108893, 2022
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
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
Slurp: Side learning uncertainty for regression problems
X Yu, G Franchi, E Aldea
arXiv preprint arXiv:2110.11182, 2021
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
Bagging stochastic watershed on natural color image segmentation
G Franchi, J Angulo
Mathematical Morphology and Its Applications to Signal and Image Processing …, 2015
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
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
A study of deep perceptual metrics for image quality assessment
R Kazmierczak, G Franchi, N Belkhir, A Manzanera, D Filliat
arXiv preprint arXiv:2202.08692, 2022
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