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Yaohui Wang
Yaohui Wang
Research Scientist, Shanghai AI Laboratory; Prev. PhD from Inria
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
Joint Generative and Contrastive Learning for Unsupervised Person Re-identification
H Chen*, Y Wang*, B Lagadec, A Dantcheva, F Bremond
CVPR 2021, 2021
1482021
ImaGINator: Conditional Spatio-Temporal GAN for Video Generation
Y Wang, P Bilinski, F Bremond, A Dantcheva
WACV 2020, 2020
982020
G3AN: Disentangling Appearance and Motion for Video Generation
Y Wang, P Bilinski, F Bremond, A Dantcheva
CVPR 2020, 2020
902020
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
892023
Latent Image Animator: Learning to Animate Images via Latent Space Navigation
Y Wang, D Yang, F Bremond, A Dantcheva
ICLR 2022, 2022
772022
A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakes
Y Wang, A Dantcheva
FG 2020, 2020
572020
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
462021
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
322023
From attribute-labels to faces: face generation using a conditional generative adversarial network
Y Wang, A Dantcheva, F Bremond
ECCV Workshop, 2018
31*2018
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
302023
InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network
Y Wang, F Bremond, A Dantcheva
arXiv preprint arXiv:2101.03049, 2021
262021
Learning Invariance from Generated Variance for Unsupervised Person Re-identification
H Chen, Y Wang, B Lagadec, A Dantcheva, F Bremond
TPAMI, 2022
192022
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
172020
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
112021
LEO: Generative Latent Image Animator for Human Video Synthesis
Y Wang, X Ma, X Chen, A Dantcheva, B Dai, Y Qiao
arXiv preprint arXiv:2305.03989, 2023
102023
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
92023
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
92018
View-Invariant Skeleton Action Representation Learning via Motion Retargeting
D Yang, Y Wang, A Dantcheva, L Garattoni, G Francesca, F Brémond
International Journal of Computer Vision, 1-16, 2024
62024
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, ...
arXiv preprint arXiv:2311.17982, 2023
42023
Long-Term Rhythmic Video Soundtracker
J Yu, Y Wang, X Chen, X Sun, Y Qiao
ICML 2023, 2023
42023
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Articles 1–20