| Classification of hyperspectral images by tensor modeling and additive morphological decomposition S Velasco-Forero, J Angulo Pattern Recognition 46 (2), 566-577, 2013 | 114 | 2013 |
| Improving hyperspectral image classification using spatial preprocessing S Velasco-Forero, V Manian IEEE Geoscience and Remote Sensing Letters 6 (2), 297-301, 2009 | 114 | 2009 |
| Supervised ordering in R^p: Application to morphological processing of hyperspectral images S Velasco-Forero, J Angulo Image Processing, IEEE Transactions on 20 (11), 3301-3308, 2011 | 102 | 2011 |
| Manipulating the alpha level cannot cure significance testing D Trafimow, V Amrhein, CN Areshenkoff, CJ Barrera-Causil, EJ Beh, ... Frontiers in psychology 9, 699, 2018 | 91 | 2018 |
| The strong gravitational lens finding challenge RB Metcalf, M Meneghetti, C Avestruz, F Bellagamba, CR Bom, E Bertin, ... Astronomy & Astrophysics 625, A119, 2019 | 86 | 2019 |
| Deep learning for galaxy surface brightness profile fitting D Tuccillo, M Huertas-Company, E Decencière, S Velasco-Forero, ... Monthly Notices of the Royal Astronomical Society 475 (1), 894-909, 2018 | 71 | 2018 |
| Random projection depth for multivariate mathematical morphology S Velasco-Forero, J Angulo IEEE Journal of Selected Topics in Signal Processing 6 (7), 753-763, 2012 | 69 | 2012 |
| SHREC’14 track: Retrieval and classification on textured 3D models S Biasotti, A Cerri, M Abdelrahman, M Aono, AB Hamza, M El-Melegy, ... Proceedings of the Eurographics workshop on 3d object retrieval, 111-120, 2014 | 42 | 2014 |
| Mathematical morphology for vector images using statistical depth S Velasco-Forero, J Angulo Mathematical Morphology and Its Applications to Image and Signal Processing …, 2011 | 35 | 2011 |
| Retrieval and classification methods for textured 3D models: a comparative study S Biasotti, A Cerri, M Aono, AB Hamza, V Garro, A Giachetti, D Giorgi, ... The Visual Computer 32, 217-241, 2016 | 34 | 2016 |
| On-the-go grapevine yield estimation using image analysis and boolean model B Millan, S Velasco-Forero, A Aquino, J Tardaguila Journal of Sensors 2018, 1-14, 2018 | 31 | 2018 |
| Max-plus operators applied to filter selection and model pruning in neural networks Y Zhang, S Blusseau, S Velasco-Forero, I Bloch, J Angulo Mathematical Morphology and Its Applications to Signal and Image Processing …, 2019 | 29 | 2019 |
| On nonlocal mathematical morphology S Velasco-Forero, J Angulo Mathematical Morphology and Its Applications to Signal and Image Processing …, 2013 | 29 | 2013 |
| Multiscale stochastic watershed for unsupervised hyperspectral image segmentation J Angulo, S Velasco-Forero, J Chanussot 2009 IEEE international geoscience and remote sensing symposium 3, III-93-III-96, 2009 | 29 | 2009 |
| SHREC'13 Track: Retrieval on Textured 3D Models. A Cerri, S Biasotti, M Abdelrahman, J Angulo, K Berger, L Chevallier, ... 3DOR@ Eurographics, 73-80, 2013 | 28 | 2013 |
| Hit-or-miss transform in multivariate images S Velasco-Forero, J Angulo Advanced Concepts for Intelligent Vision Systems: 12th International …, 2010 | 28 | 2010 |
| Local mutual information for dissimilarity-based image segmentation L Gueguen, S Velasco-Forero, P Soille Journal of mathematical imaging and vision 48 (3), 625-644, 2014 | 27 | 2014 |
| A new color augmentation method for deep learning segmentation of histological images Y Xiao, E Decencière, S Velasco-Forero, H Burdin, T Bornschlögl, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 23 | 2019 |
| On power Jaccard losses for semantic segmentation D Duque-Arias, S Velasco-Forero, JE Deschaud, F Goulette, A Serna, ... VISAPP 2021: 16th International Conference on Computer Vision Theory and …, 2021 | 21 | 2021 |
| Vector ordering and multispectral morphological image processing S Velasco-Forero, J Angulo Advances in low-level color image processing, 223-239, 2014 | 21 | 2014 |
Jesus AnguloSenior Fellow Researcher, Centre de Morphologie Mathématique, MINES ParisTechVerified email at mines-paristech.fr
