Yaohui Wang 王耀晖

PhD student, INRIA


About me

I am a fourth year PhD student in Computer Vision and Machine Learning at Inria Sophia Antipolis, STARS team. I am under the supervision of Antitza Dantcheva and Francois Bremond. I received a M.Sc degree in Machine Learning, Information and Content from Université Paris-Saclay, (ex Université Paris-Sud) and an Engineering degree in Applied Mathematics and Computer Science from ENSIIE, France in 2017. Before that, I received 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.).


07 / 2021
New work UNIK on skeleton-based activity recognition is on arxiv, code released.
03 / 2021
One paper accepted by CVPR 2021, code released.
01 / 2021
New work InMoDeGAN on Interpretable Unsupervised Video Generation is on arxiv.
12 / 2020
New work GCL on Unsupervised Person Re-id using GAN-based multi-view data augmentation is on arxiv.
12 / 2020
02 / 2020
10 / 2019
I participated in PRAIRIE AI Summer School (PAISS 2019) in Paris.

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
Arxiv | Code
InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation
Yaohui Wang, Francois Bremond, and Antitza Dantcheva
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.
Arxiv | 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

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

Copyright © Yaohui Wang