Yaohui Wang
Cited by
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ImaGINator: Conditional Spatio-Temporal GAN for Video Generation
Y Wang, P Bilinski, F Bremond, A Dantcheva
WACV 2020, 2020
G3AN: disentangling appearance and motion for video generation
Y Wang, P Bilinski, F Bremond, A Dantcheva
CVPR 2020, 2020
From attribute-labels to faces: face generation using a conditional generative adversarial network
Y Wang, A Dantcheva, F Bremond
ECCV Workshop, 2018
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
A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakes
Y Wang, A Dantcheva
FG 2020, 2020
Inmodegan: Interpretable motion decomposition generative adversarial network for video generation
Y Wang, F Bremond, A Dantcheva
arXiv preprint arXiv:2101.03049, 2021
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
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
UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition
D Yang, Y Wang, A Dantcheva, L Garattoni, G Francesca, F Bremond
arXiv preprint arXiv:2107.08580, 2021
Joint Generative and Contrastive Learning for Unsupervised Person Re-identification
H Chen, Y Wang, B Lagadec, A Dantcheva, F Bremond
CVPR 2021, 2021
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