Yaohui Wang 王耀晖

Ph.D., INRIA

inria

About me

I completed my PhD from Inria Sophia Antipolis, STARS team, under the supervision of Antitza Dantcheva and Francois Bremond. Before that, I received a M.Sc degree in Artificial Intelligence from Université Paris-Saclay, (ex Université Paris-Sud) in 2017 and a Bachelor's degree in Microelectronics Engineering from Xidian University, China in 2015. More details can be found in my resume.

Research Interests

My current research focuses on Generative Adversarial Networks (GANs) for video generation. I am interested in developing controllable video generative models, interpreting video generative models and applying generative models on other video understanding tasks (e.g. action recognition, robot planning, etc.).

News

10 / 2021
Our work UNIK has been accepted to BMVC 2021 as oral presentation, code released.
10 / 2021
I have successfully defended my PhD thesis(Group photo)!
03 / 2021
One paper accepted by CVPR 2021, code released.
01 / 2021
New work InMoDeGAN on Interpretable Unsupervised Video Generation is on arxiv.

Selected Publications

UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition
Di Yang*, Yaohui Wang*, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca and Francois Bremond. *equal contribution
In Proc. BMVC, Virtual, 2021 (Oral)
Paper | Arxiv | Project page | Code
InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation
Yaohui Wang, Francois Bremond, and Antitza Dantcheva
arXiv:2101.03049
Arxiv | Project page | Code
Joint Generative and Contrastive Learning for Unsupervised Person Re-identification
Hao Chen*, Yaohui Wang*, Benoit Lagadec, Antitza Dantcheva, and Francois Bremond. *equal contribution
In Proc. CVPR, Virtual, 2021.
Paper | Code
Selective Spatio-Temporal Aggregation Based Pose Refinement System
Di Yang, Rui Dai, Yaohui Wang, Rupayan Mallick, Luca Minciullo, Gianpiero Francesca, and Francois Bremond
In Proc. WACV, Virtual, 2021.
Paper | Code
G³AN: Disentangling appearance and motion for video generation
Yaohui Wang, Piotr Bilinski, Francois Bremond, and Antitza Dantcheva
In Proc. CVPR, Seattle, US, 2020.
In LUV-CVPR Workshop, Seattle, US, 2020. (Oral Presentation)
Paper | Project page | Code | Video
ImaGINator: Conditional Spatio-Temporal GAN for Video Generation
Yaohui Wang, Piotr Bilinski, Francois Bremond, and Antitza Dantcheva
In Proc. WACV, Aspen, US, 2020.
Paper | Code | Video

Professional activities

Reviewer
CVPR 2021, WACV 2021, ECCV 2020, WACV 2020, PR...

Copyright © Yaohui Wang