| ImaGINator: Conditional Spatio-Temporal GAN for Video Generation Y Wang, P Bilinski, F Bremond, A Dantcheva WACV 2020, 2020 | 9 | 2020 |
| From attribute-labels to faces: face generation using a conditional generative adversarial network Y Wang, A Dantcheva, F Bremond ECCV Workshop, 2018 | 7* | 2018 |
| G3AN: Disentangling appearance and motion for video generation Y Wang, P Bilinski, F Bremond, A Dantcheva CVPR 2020, 5264-5273, 2020 | 6 | 2020 |
| Comparing methods for assessment of facial dynamics in patients with major neurocognitive disorders Y Wang, A Dantcheva, JC Broutart, P Robert, F Bremond, P Bilinski ECCV Workshop, 2018 | 4 | 2018 |
| A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakes Y Wang, A Dantcheva FG 2020, 2020 | 2 | 2020 |
| G3AN: This video does not exist. Disentangling motion and appearance for video generation Y Wang, P Bilinski, F Bremond, A Dantcheva arXiv preprint arXiv:1912.05523, 2019 | 2 | 2019 |
| Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos D Yang, R Dai, Y Wang, R Mallick, L Minciullo, G Francesca, F Bremond WACV 2021, 2020 | 1 | 2020 |
| InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation Y Wang, F Bremond, A Dantcheva arXiv preprint arXiv:2101.03049, 2021 | | 2021 |
| Joint Generative and Contrastive Learning for Unsupervised Person Re-identification H Chen, Y Wang, B Lagadec, A Dantcheva, F Bremond arXiv preprint arXiv:2012.09071, 2020 | | 2020 |
Antitza DantchevaResearcher, INRIA, FranceVerified email at inria.fr
