Animatediff: Animate your personalized text-to-image diffusion models without specific tuning Y Guo, C Yang, A Rao, Y Wang, Y Qiao, D Lin, B Dai ICLR 2024, 2023 | 234 | 2023 |
Joint Generative and Contrastive Learning for Unsupervised Person Re-identification H Chen*, Y Wang*, B Lagadec, A Dantcheva, F Bremond CVPR 2021, 2021 | 174 | 2021 |
Latent Image Animator: Learning to Animate Images via Latent Space Navigation Y Wang, D Yang, F Bremond, A Dantcheva ICLR 2022, 2022 | 115 | 2022 |
ImaGINator: Conditional Spatio-Temporal GAN for Video Generation Y Wang, P Bilinski, F Bremond, A Dantcheva WACV 2020, 2020 | 114 | 2020 |
G3AN: Disentangling Appearance and Motion for Video Generation Y Wang, P Bilinski, F Bremond, A Dantcheva CVPR 2020, 2020 | 104 | 2020 |
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models Y Wang*, X Chen*, X Ma*, S Zhou, Z Huang, Y Wang, C Yang, Y He, J Yu, ... arXiv preprint arXiv:2309.15103, 2023 | 86 | 2023 |
Internvid: A large-scale video-text dataset for multimodal understanding and generation Y Wang, Y He, Y Li, K Li, J Yu, X Ma, X Li, G Chen, X Chen, Y Wang, C He, ... ICLR 2024, 2023 | 84 | 2023 |
A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakes Y Wang, A Dantcheva FG 2020, 2020 | 62 | 2020 |
UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition D Yang*, Y Wang*, A Dantcheva, L Garattoni, G Francesca, F Bremond BMVC 2021, 2021 | 51 | 2021 |
Vbench: Comprehensive benchmark suite for video generative models Z Huang, Y He, J Yu, F Zhang, C Si, Y Jiang, Y Zhang, T Wu, Q Jin, ... CVPR 2024, 2023 | 34 | 2023 |
Latte: Latent diffusion transformer for video generation X Ma, Y Wang, G Jia, X Chen, Z Liu, YF Li, C Chen, Y Qiao arXiv preprint arXiv:2401.03048, 2024 | 33 | 2024 |
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction X Chen*, Y Wang*, L Zhang, S Zhuang, X Ma, J Yu, Y Wang, D Lin, ... ICLR 2024, 2023 | 33 | 2023 |
From attribute-labels to faces: face generation using a conditional generative adversarial network Y Wang, A Dantcheva, F Bremond ECCV Workshop, 2018 | 33* | 2018 |
InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network Y Wang, F Bremond, A Dantcheva arXiv preprint arXiv:2101.03049, 2021 | 26 | 2021 |
Learning Invariance from Generated Variance for Unsupervised Person Re-identification H Chen, Y Wang, B Lagadec, A Dantcheva, F Bremond TPAMI, 2022 | 23 | 2022 |
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 | 20 | 2020 |
Leo: Generative latent image animator for human video synthesis Y Wang, X Ma, X Chen, C Chen, A Dantcheva, B Dai, Y Qiao | 16 | 2023 |
Self-Supervised Video Pose Representation Learning for Occlusion-Robust Action Recognition D Yang, Y Wang, A Dantcheva, L Garattoni, G Francesca, F Brémond FG 2021, 2021 | 12 | 2021 |
View-Invariant Skeleton Action Representation Learning via Motion Retargeting D Yang, Y Wang, A Dantcheva, L Garattoni, G Francesca, F Brémond IJCV, 1-16, 2024 | 10 | 2024 |
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 | 9 | 2018 |