Face aging with conditional generative adversarial networks G Antipov, M Baccouche, JL Dugelay 2017 IEEE international conference on image processing (ICIP), 2089-2093, 2017 | 311 | 2017 |
Learned vs. hand-crafted features for pedestrian gender recognition G Antipov, SA Berrani, N Ruchaud, JL Dugelay Proceedings of the 23rd ACM international conference on Multimedia, 1263-1266, 2015 | 103 | 2015 |
Minimalistic CNN-based ensemble model for gender prediction from face images G Antipov, SA Berrani, JL Dugelay Pattern recognition letters 70, 59-65, 2016 | 96 | 2016 |
Effective training of convolutional neural networks for face-based gender and age prediction G Antipov, M Baccouche, SA Berrani, JL Dugelay Pattern Recognition 72, 15-26, 2017 | 78 | 2017 |
Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models G Antipov, M Baccouche, SA Berrani, JL Dugelay IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops …, 2016 | 74 | 2016 |
Boosting cross-age face verification via generative age normalization G Antipov, M Baccouche, JL Dugelay 2017 IEEE International Joint Conference on Biometrics (IJCB), 191-199, 2017 | 14 | 2017 |
The impact of privacy protection filters on gender recognition N Ruchaud, G Antipov, P Korshunov, JL Dugelay, T Ebrahimi, SA Berrani Applications of digital image processing XXXVIII 9599, 959906, 2015 | 9 | 2015 |
Automatic Quality Assessment for Audio-Visual Verification Systems. The LOVe submission to NIST SRE Challenge 2019 G Antipov, N Gengembre, OL Blouch, GL Lan arXiv preprint arXiv:2008.05889, 2020 | 1 | 2020 |
Estimating semantic structure for the VQA answer space C Kervadec, G Antipov, M Baccouche, C Wolf arXiv preprint arXiv:2006.05726, 2020 | 1 | 2020 |
Roses Are Red, Violets Are Blue... but Should Vqa Expect Them To? C Kervadec, G Antipov, M Baccouche, C Wolf arXiv preprint arXiv:2006.05121, 2020 | 1 | 2020 |
Deep learning for semantic description of visual human traits G Antipov Télécom ParisTech, 2017 | 1 | 2017 |
Weak Supervision helps Emergence of Word-Object Alignment and improves Vision-Language Tasks C Kervadec, G Antipov, M Baccouche, C Wolf arXiv preprint arXiv:1912.03063, 2019 | | 2019 |
Apprentissage profond pour la description sémantique des traits visuels humains G Antipov Paris, ENST, 2017 | | 2017 |
Deep learning for semantic description of visual human traits.(Apprentissage profond pour la description sémantique des traits visuels humains) G Antipov | | 2017 |