Learning Snippet-to-Motion Progression for Skeleton-based Human Motion Prediction. - Xinshun Wang; Qiongjie Cui; Chen Chen 001; Shen Zhao; Mengyuan Liu (MMAsia, 2023)

Graph-Guided MLP-Mixer for Skeleton-Based Human Motion Prediction. - Xinshun Wang; Qiongjie Cui; Chen Chen 001; Shen Zhao; Mengyuan Liu (MMAsia, 2023)

A Mixer Layer is Worth One Graph Convolution: Unifying MLP-Mixers and GCNs for Human Motion Prediction. - Xinshun Wang; Shen Zhao; Chen Chen 001; Mengyuan Liu (CoRR, 2023)

GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction. - Xinshun Wang; Qiongjie Cui; Chen Chen 001; Mengyuan Liu (AAAI, 2024)

Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning. - Xinshun Wang; Zhongbin Fang; Xia Li 005; Xiangtai Li; Chen Chen 001; Mengyuan Liu (CVPR, 2024)

Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion Prediction. - Xinshun Wang; Wanying Zhang; Can Wang 006; Yuan Gao 008; Mengyuan Liu (IEEE Trans. Image Process., 2024)

Temporal Decoupling Graph Convolutional Network for Skeleton-Based Gesture Recognition. - Jinfu Liu; Xinshun Wang; Can Wang 006; Yuan Gao 008; Mengyuan Liu (IEEE Trans. Multim., 2024)

CHAMP: A Large-Scale Dataset for Skeleton-Based Composite HumAn Motion Prediction. - Wanying Zhang; Mengyuan Liu; Xinshun Wang; Shen Zhao; Can Wang 006 (IEEE Trans. Circuits Syst. Video Technol., 2024)