Di Yang

According to our database, Di Yang authored at least 23 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

LIA: Latent Image Animator.

Yaohui Wang, Di Yang, François Brémond, Antitza Dantcheva

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

View-Invariant Skeleton Action Representation Learning via Motion Retargeting.

Di Yang, Yaohui Wang, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond

Int. J. Comput. Vis., July, 2024

Learning effective video representations for action recognition. (Apprendre des représentations vidéo efficaces pour la reconnaissance d'actions).

Di Yang

PhD thesis, 2024

A knowledge graph embedding model based attention mechanism for enhanced node information integration.

Ying Liu, Peng Wang, Di Yang, Ningjia Qiu

PeerJ Comput. Sci., 2024

Are Visual-Language Models Effective in Action Recognition? A Comparative Study.

Mahmoud Ali, Di Yang, François Brémond

CoRR, 2024

HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields.

Arnab Dey, Di Yang, Antitza Dantcheva, Jean Martinet

CoRR, 2024

GHNeRF: Learning Generalizable Human Features with Efficient Neural Radiance Fields.

Arnab Dey, Di Yang, Rohith Agaram, Antitza Dantcheva, Andrew I. Comport, Srinath Sridhar, Jean Martinet

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mark Points Detection and Measurement on Reflective Surfaces for In-Situ Machining of Large and Complex Components.

Di Yang, Fugui Xie, Xin-Jun Liu

Proceedings of the 9th Asia-Pacific Conference on Intelligent Robot Systems, 2024

2023

LAC - Latent Action Composition for Skeleton-based Action Segmentation.

Di Yang, Yaohui Wang, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Supervised Video Representation Learning via Latent Time Navigation.

Di Yang, Yaohui Wang, Quan Kong, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

VPN++: Rethinking Video-Pose Embeddings for Understanding Activities of Daily Living.

Srijan Das, Rui Dai, Di Yang, François Brémond

IEEE Trans. Pattern Anal. Mach. Intell., 2022

ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting.

Di Yang, Yaohui Wang, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond

CoRR, 2022

Latent Image Animator: Learning to Animate Images via Latent Space Navigation.

Yaohui Wang, Di Yang, François Brémond, Antitza Dantcheva

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Selective Spatio-Temporal Aggregation Based Pose Refinement System: Towards Understanding Human Activities in Real-World Videos.

Di Yang, Rui Dai, Yaohui Wang, Rupayan Mallick, Luca Minciullo, Gianpiero Francesca, François Brémond

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Velocity Constraints Based Online Trajectory Planning for High-Speed Parallel Robots.

Di Yang, Fugui Xie, Xin-Jun Liu

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Self-Supervised Video Pose Representation Learning for Occlusion- Robust Action Recognition.

Di Yang, Yaohui Wang, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Emotion Editing in Head Reenactment Videos using Latent Space Manipulation.

Valeriya Strizhkova, Yaohui Wang, David Anghelone, Di Yang, Antitza Dantcheva, François Brémond

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition.

Di Yang, Yaohui Wang, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

FR-MTL: Traffic Flow Prediction Using Fused Ridge Denoising and Multi-Task Learning.

Di Yang, Ningjia Qiu, Peng Wang, Huamin Yang

J. Adv. Comput. Intell. Intell. Informatics, 2020

2019

Research on Multi-Channel Semantic Fusion Classification Model.

Di Yang, Ningjia Qiu, Lin Cong, Huamin Yang

J. Adv. Comput. Intell. Intell. Informatics, 2019

MF-CNN: Traffic Flow Prediction Using Convolutional Neural Network and Multi-Features Fusion.

Di Yang, Songjiang Li, Zhou Peng, Peng Wang, Junhui Wang, Huamin Yang

IEICE Trans. Inf. Syst., 2019

2012

On a Novel Class of integrable ODEs Related to the Painlevé equations.

Athanassios S. Fokas, Di Yang

Int. J. Bifurc. Chaos, 2012

2010

Start-up flow of a viscoelastic fluid in a pipe with a fractional Maxwell's model.

Di Yang, Ke-Qin Zhu

Comput. Math. Appl., 2010