| Towards automatic wild animal monitoring: Identification of animal species in camera-trap images using very deep convolutional neural networks AG Villa, A Salazar, F Vargas Ecological informatics 41, 24-32, 2017 | 143* | 2017 |
| Animal identification in low quality camera-trap images using very deep convolutional neural networks and confidence thresholds A Gomez, G Diez, A Salazar, A Diaz International symposium on visual computing, 747-756, 2016 | 35 | 2016 |
| Camera-trap images segmentation using multi-layer robust principal component analysis JH Giraldo-Zuluaga, A Salazar, A Gomez, A Diaz-Pulido The Visual Computer 35 (3), 335-347, 2019 | 21 | 2019 |
| Car detection methodology in outdoor environment based on histogram of oriented gradient (HOG) and support vector machine (SVM) S Guzman, A Gomez, G Diez, DS Fernández IET Digital Library, 2015 | 12 | 2015 |
| Convolutional neural networks can be deceived by visual illusions A Gomez-Villa, A Martin, J Vazquez-Corral, M Bertalmío Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 11 | 2019 |
| Visual illusions via neural dynamics: Wilson–Cowan-type models and the efficient representation principle M Bertalmío, L Calatroni, V Franceschi, B Franceschiello, A Gomez Villa, ... Journal of neurophysiology 123 (5), 1606-1618, 2020 | 9 | 2020 |
| Automatic identification of Scenedesmus polymorphic microalgae from microscopic images JH Giraldo-Zuluaga, A Salazar, G Diez, A Gomez, T Martínez, JF Vargas, ... Pattern Analysis and Applications 21 (2), 601-612, 2018 | 8 | 2018 |
| Automatic recognition of mammal genera on camera-trap images using multi-layer robust principal component analysis and mixture neural networks JH Giraldo-Zuluaga, A Salazar, A Gomez, A Diaz-Pulido arXiv preprint arXiv:1705.02727, 2017 | 8 | 2017 |
| Recognition of mammal genera on camera-trap images using multi-layer robust principal component analysis and mixture neural networks JH Giraldo-Zuluaga, A Salazar, A Gomez, A Diaz-Pulido 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 7 | 2017 |
| Visual information flow in Wilson–Cowan networks A Gomez-Villa, M Bertalmío, J Malo Journal of neurophysiology 123 (6), 2249-2268, 2020 | 4 | 2020 |
| A Markov random field image segmentation model for lizard spots A Gómez-Villa, G Díez-Valencia, AE Salazar-Jimenez Revista Facultad de Ingeniería Universidad de Antioquia, 41-49, 2016 | 3 | 2016 |
| Synthesizing visual illusions using generative adversarial networks A Gomez-Villa, A Martín, J Vazquez-Corral, J Malo, M Bertalmío arXiv preprint arXiv:1911.09599, 2019 | 2 | 2019 |
| Embedded Remote Photoplethysmography AG Villa SCUOLA UNIVERSITARIA PROFESSIONALE DELLA SVIZZERA ITALIANA, 2018 | 2 | 2018 |
| Counting cells in time-lapse microscopy using deep neural networks AG Villa, A Salazar, I Stefanini arXiv preprint arXiv:1801.10443, 2018 | 2 | 2018 |
| Color illusions also deceive cnns for low-level vision tasks: Analysis and implications A Gomez-Villa, A Martín, J Vazquez-Corral, M Bertalmío, J Malo Vision Research 176, 156-174, 2020 | 1 | 2020 |
| Evidence for the intrinsically nonlinear nature of receptive fields in vision B Marcelo, A Gomez-Villa, M Adrián, J Vazquez-Corral, D Kane, M Jesús Scientific Reports (Nature Publisher Group) 10 (1), 2020 | | 2020 |
| Counting Cells in Time-Lapse Microscopy using Deep Neural Networks A Gomez Villa, A Salazar, I Stefanini arXiv e-prints, arXiv: 1801.10443, 2018 | | 2018 |
| A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns A Gómez, G Díez, J Giraldo, A Salazar, JM Daza International Symposium on Visual Computing, 173-184, 2015 | | 2015 |
| Automatic segmentation of coral reefs implementing textures analysis and color features with gaussian mixtures models JF Pérez, A Gómez, JH Giraldo, S Guzmán, DS Fernández IET Digital Library, 2015 | | 2015 |
Augusto SalazarProfessor at Universidad de AntioquiaDirección de correo verificada de udea.edu.co
