Di Yang 杨棣

Ph.D. Candidate, Inria

I am a Ph.D. student in Computer Vision at Inria, STARS team in France, supervised by Dr. François Brémond. Simultaneously, I have an academic-industrial collaboration with Dr. Gianpiero Francesca from Toyota Motor Europe and Dr. Quan Kong from Woven by Toyota. I received my M.Eng. in Computer Vision in 2019 from Télécom Saint-Étienne of University of Lyon, France. I earned my B.S. in Communication Engineering in 2017 from Xidian University, China. My research interests include computer vision and deep learning with special interest in video understanding and action recognition.

News

07 / 2023
Our work LAC has been accepted to ICCV 2023!
07 / 2023
04 / 2023
I start to work at Toyota Motor Europe - Robotics & AI Lab. as a Research Intern in Belgium.
11 / 2022
Our work Latent Time Navigation (LTN) has been accepted to AAAI 2023.
10 / 2022
New work ViA on applying motion retargeting on skeleton activity recogition is on arXiv.

Research

LAC: Latent Action Composition for Skeleton-based Action Segmentation
Di Yang, Yaohui Wang*, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, Francois Bremond. *corresponding author
In Proc. ICCV, Paris, 2023
Paper | Arxiv | Project page | Code
Self-supervised Video Representation Learning via Latent Time Navigation
Di Yang, Yaohui Wang, Quan Kong, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca and François Brémond
In Proc. AAAI, Washington, 2023
Paper | Arxiv | Project page | Code
ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting
Di Yang, Yaohui Wang, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca and François Brémond
arXiv:2209.00065
Paper | Arxiv | Project page | Code
Latent Image Animator: Learning to Animate Images via Latent Space Navigation
Yaohui Wang, Di Yang, Francois Bremond and Antitza Dantcheva
In Proc. ICLR, Virtual, 2022
Paper | Arxiv | Project page | Code
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
VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living
Srijan Das, Rui Dai, Di Yang, François Brémond.
In Proc. T-PAMI, 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

Academic activities

Reviewer
AAAI 2024, CVPR 2023, AAAI 2023, CVIU 2023/2022, WACV 2022, PRL 2021 ...

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