Podnet: Pooled outputs distillation for small-tasks incremental learning A Douillard, M Cord, C Ollion, T Robert, E Valle Computer vision–ECCV 2020: 16th European conference, Glasgow, UK, August 23 …, 2020 | 617 | 2020 |
Pooling in image representation: the visual codeword point of view S Avila, N Thome, M Cord, E Valle, AA de Araújo Computer Vision and Image Understanding 117 (5), 453–465, 2013 | 264 | 2013 |
Comparative Study of Global Color and Texture Descriptors for Web Image Retrieval OAB Penatti, E Valle, RS Torres Journal of Visual Communication and Image Representation, 2012 | 255 | 2012 |
Knowledge transfer for melanoma screening with deep learning A Menegola, M Fornaciali, R Pires, FV Bittencourt, S Avila, E Valle 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 233 | 2017 |
Exploring the space of adversarial images P Tabacof, E Valle 2016 International Joint Conference on Neural Networks (IJCNN), 426–433, 2015 | 231 | 2015 |
Data augmentation for skin lesion analysis F Perez, C Vasconcelos, S Avila, E Valle OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018 | 226 | 2018 |
RECOD titans at ISIC challenge 2017 A Menegola, J Tavares, M Fornaciali, LT Li, S Avila, E Valle arXiv preprint arXiv:1703.04819, 2017 | 163 | 2017 |
Violence detection in video using spatio-temporal features FDM de Souza, GC Chávez, EA do Valle, A de A Araujo Graphics, Patterns and Images (SIBGRAPI), 2010 23rd SIBGRAPI Conference on …, 2010 | 156 | 2010 |
Video pornography detection through deep learning techniques and motion information M Perez, S Avila, D Moreira, D Moraes, V Testoni, E Valle, S Goldenstein, ... Neurocomputing 230, 279-293, 2017 | 153 | 2017 |
A data-driven approach to referable diabetic retinopathy detection R Pires, S Avila, J Wainer, E Valle, MD Abramoff, A Rocha Artificial intelligence in medicine 96, 93-106, 2019 | 149 | 2019 |
Transfer learning using convolutional neural networks for face anti-spoofing O Lucena, A Junior, V Moia, R Souza, E Valle, R Lotufo Image Analysis and Recognition: 14th International Conference, ICIAR 2017 …, 2017 | 145 | 2017 |
Skin lesion synthesis with generative adversarial networks A Bissoto, F Perez, E Valle, S Avila OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018 | 120 | 2018 |
Visual word spatial arrangement for image retrieval and classification OAB Penatti, FB Silva, E Valle, V Gouet-Brunet, RS Torres Pattern Recognition 47 (2), 705-720, 2014 | 108 | 2014 |
Advancing bag-of-visual-words representations for lesion classification in retinal images R Pires, HF Jelinek, J Wainer, E Valle, A Rocha PloS one 9 (6), e96814, 2014 | 107 | 2014 |
Bossa: Extended bow formalism for image classification S Avila, N Thome, M Cord, E Valle, AA Araújo 2011 18th IEEE International Conference on Image Processing, 2909-2912, 2011 | 99 | 2011 |
Adversarial images for variational autoencoders P Tabacof, J Tavares, E Valle arXiv preprint arXiv:1612.00155, 2016 | 96 | 2016 |
Pornography classification: The hidden clues in video space–time D Moreira, S Avila, M Perez, D Moraes, V Testoni, E Valle, S Goldenstein, ... Forensic science international 268, 46-61, 2016 | 90 | 2016 |
Assessing the need for referral in automatic diabetic retinopathy detection R Pires, HF Jelinek, J Wainer, S Goldenstein, E Valle, A Rocha IEEE Transactions on Biomedical Engineering 60 (12), 3391-3398, 2013 | 87 | 2013 |
Solo or ensemble? choosing a cnn architecture for melanoma classification F Perez, S Avila, E Valle Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 83 | 2019 |
Gan-based data augmentation and anonymization for skin-lesion analysis: A critical review A Bissoto, E Valle, S Avila Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 81 | 2021 |