Pengxiang Ding

According to our database, Pengxiang Ding authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

Instance-Incremental Scene Graph Generation From Real-World Point Clouds via Normalizing Flows.

Chao Qi, Jianqin Yin, Jinghang Xu, Pengxiang Ding

IEEE Trans. Circuits Syst. Video Technol., February, 2024

DHRNet: A Dual-path Hierarchical Relation Network for multi-person pose estimation.

Yonghao Dang, Jianqin Yin, Liyuan Liu, Pengxiang Ding, Yuan Sun, Yanzhu Hu

Knowl. Based Syst., 2024

ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-Identification.

Can Cui, Siteng Huang, Wenxuan Song, Pengxiang Ding, Min Zhang, Donglin Wang

CoRR, 2024

PiTe: Pixel-Temporal Alignment for Large Video-Language Model.

Yang Liu, Pengxiang Ding, Siteng Huang, Min Zhang, Han Zhao, Donglin Wang

CoRR, 2024

Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference.

Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang

CoRR, 2024

GeRM: A Generalist Robotic Model with Mixture-of-experts for Quadruped Robot.

Wenxuan Song, Han Zhao, Pengxiang Ding, Can Cui, Shangke Lyu, Yaning Fan, Donglin Wang

CoRR, 2024

Expressive Forecasting of 3D Whole-Body Human Motions.

Pengxiang Ding, Qiongjie Cui, Haofan Wang, Min Zhang, Mengyuan Liu, Donglin Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

QUAR-VLA: Vision-Language-Action Model for Quadruped Robots.

Pengxiang Ding, Han Zhao, Zhitao Wang, Zhenyu Wei, Shangke Lyu, Donglin Wang

CoRR, 2023

2022

Towards More Realistic Human Motion Prediction With Attention to Motion Coordination.

Pengxiang Ding, Jianqin Yin

IEEE Trans. Circuits Syst. Video Technol., 2022

DC-net: Dual-Consistency semi-supervised learning for 3D left atrium segmentation from MRI.

Junying Wang, Xiaoli Liu, Jianqin Yin, Pengxiang Ding

Biomed. Signal Process. Control., 2022

2021

TrajectoryCNN: A New Spatio-Temporal Feature Learning Network for Human Motion Prediction.

Xiaoli Liu, Jianqin Yin, Jin Li, Pengxiang Ding, Jun Liu, Huaping Liu

IEEE Trans. Circuits Syst. Video Technol., 2021

Uncertainty-aware Human Motion Prediction.

Pengxiang Ding, Jianqin Yin

CoRR, 2021

An Attractor-Guided Neural Networks for Skeleton-Based Human Motion Prediction.

Pengxiang Ding, Jianqin Yin

CoRR, 2021