Simple Baseline for Single Human Motion Forecasting

2021-10-14 · Chenxi Wang, Yunfeng Wang, Zixuan Huang, Zhiwen Chen

Global human motion forecasting is important in many fields, which is the combination of global human trajectory prediction and local human pose prediction. Visual and social information are often used to boost model performance, however, they may consume too much computational resource. In this paper, we establish a simple but effective baseline for single human motion forecasting without visual and social information, equipped with useful training tricks. Our method "futuremotion_ICCV21" outperforms existing methods by a large margin on SoMoF benchmark. We hope our work provide new ideas for future research.

📄 PDF Abstract BibTeX arXiv:2110.07495

Code (0)

등록된 구현이 없습니다.

Tasks

Motion Forecasting Pose Prediction Prediction Trajectory Prediction

Socially and Contextually Aware Human Motion and Pose Forecasting

2020-07-14 · Vida Adeli, Ehsan Adeli, Ian Reid, Juan Carlos Niebles 외

Smooth and seamless robot navigation while interacting with humans depends on predicting human movements. Forecasting such human dynamics often involves modeling human trajectories (global motion) or detailed body joint …

Decoder Human Dynamics Robot Navigation

UniEgoMotion: A Unified Model for Egocentric Motion Reconstruction, Forecasting, and Generation

2025-08-02 · Chaitanya Patel, Hiroki Nakamura, Yuta Kyuragi, Kazuki Kozuka 외 arxiv

Egocentric human motion generation and forecasting with scene-context is crucial for enhancing AR/VR experiences, improving human-robot interaction, advancing assistive technologies, and enabling adaptive healthcare solu…

Motion Forecasting Motion Synthesis

Back to MLP: A Simple Baseline for Human Motion Prediction

2022-07-04 · Wen Guo, Yuming Du, Xi Shen, Vincent Lepetit 외

This paper tackles the problem of human motion prediction, consisting in forecasting future body poses from historically observed sequences. State-of-the-art approaches provide good results, however, they rely on deep le…

Human motion prediction Human Pose Forecasting motion prediction Multi-Person Pose forecasting

Robot Interaction Behavior Generation based on Social Motion Forecasting for Human-Robot Interaction

2024-02-07 · Esteve Valls Mascaro, Yashuai Yan, Dongheui Lee

Integrating robots into populated environments is a complex challenge that requires an understanding of human social dynamics. In this work, we propose to model social motion forecasting in a shared human-robot represent…

Motion Forecasting

Humans vs Large Language Models: Judgmental Forecasting in an Era of Advanced AI

2023-12-12 · Mahdi Abolghasemi, Odkhishig Ganbold, Kristian Rotaru

This study investigates the forecasting accuracy of human experts versus Large Language Models (LLMs) in the retail sector, particularly during standard and promotional sales periods. Utilizing a controlled experimental …