Spatio-Temporal Branching for Motion Prediction using Motion Increments

2 August 2023

Papers citing "Spatio-Temporal Branching for Motion Prediction using Motion Increments"

11 / 11 papers shown

Title
Enhancing Human Motion Prediction via Multi-range Decoupling Decoding with Gating-adjusting Aggregation Jiexin Wang Wenwen Qiang Zhao-Qing Yang Bing-Huang Su 34 0 0 30 Mar 2025
Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction Jiexin Wang Yiju Guo Bing-Huang Su 3DH 45 0 0 03 Jan 2025
Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction Jiexin Wang Yiju Guo Bing-Huang Su 38 0 0 03 Jan 2025
Towards Practical Human Motion Prediction with LiDAR Point Clouds Xiao Han Yiming Ren Yichen Yao Yujing Sun Yuexin Ma 3DH 27 0 0 15 Aug 2024
Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting Xingyu Zhang Siyu Zhao Zeen Song Huijie Guo Jianqi Zhang Changwen Zheng Wenwen Qiang AI4TS 32 4 0 17 Jul 2024
Recent Advances in Deterministic Human Motion Prediction: A Review Tenghao Deng Yan Sun 3DH 16 0 0 11 Dec 2023
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization Yujie Zhou Wenwen Qiang Anyi Rao Ning Lin Bing-Huang Su Jiaqi Wang 19 12 0 07 Aug 2023
History Repeats Itself: Human Motion Prediction via Motion Attention Wei Mao Miaomiao Liu Mathieu Salzmann 55 247 0 23 Jul 2020
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction Maosen Li Siheng Chen Yangheng Zhao Ya-Qin Zhang Yanfeng Wang Qi Tian AI4CE 3DH 85 267 0 17 Mar 2020
3D Point Cloud Processing and Learning for Autonomous Driving Siheng Chen Baoan Liu Chen Feng Carlos Vallespi-Gonzalez Carl K. Wellington 3DPC 43 158 0 01 Mar 2020
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 190 14,190 0 07 Oct 2016