| Deep morphological networks G Franchi, A Fehri, A Yao Pattern Recognition 102, 107246, 2020 | 50 | 2020 |
| 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 | 34 | 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 | 25 | 2022 |
| Morphological principal component analysis for hyperspectral image analysis G Franchi, J Angulo ISPRS International Journal of Geo-Information 5 (6), 83, 2016 | 20 | 2016 |
| 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 | 12 | 2020 |
| 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 | 11 | 2015 |
| 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 | 11 | 2014 |
| Bagging stochastic watershed on natural color image segmentation G Franchi, J Angulo Mathematical Morphology and Its Applications to Signal and Image Processing …, 2015 | 10 | 2015 |
| 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 | 9 | 2020 |
| 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 | 8 | 2016 |
| 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 | 7 | 2021 |
| 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 | 7 | 2018 |
| 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 | 7 | 2016 |
| SLURP: Side learning uncertainty for regression problems X Yu, G Franchi, E Aldea arXiv preprint arXiv:2110.11182, 2021 | 5 | 2021 |
| Supervised deep kriging for single-image super-resolution G Franchi, A Yao, A Kolb Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019 | 4 | 2019 |
| 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 | 4 | 2018 |
| Quantization of hyperspectral image manifold using probabilistic distances G Franchi, J Angulo Geometric Science of Information: Second International Conference, GSI 2015 …, 2015 | 4 | 2015 |
| Learning deep morphological networks with neural architecture search Y Hu, N Belkhir, J Angulo, A Yao, G Franchi Pattern Recognition 131, 108893, 2022 | 3 | 2022 |
| 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 | 3 | 2020 |
| 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 | 2 | 2022 |
Emanuel AldeaParis-Saclay UniversityVerified email at u-psud.fr
