Search Results for author: Hongji Liu

Found 3 papers, 1 papers with code

SoloPose: One-Shot Kinematic 3D Human Pose Estimation with Video Data Augmentation

no code implementations15 Dec 2023 David C. Jeong, Hongji Liu, Saunder Salazar, Jessie Jiang, Christopher A. Kitts

While recent two-stage many-to-one deep learning models have demonstrated great success in 3D human pose estimation, such models are inefficient ways to detect 3D key points in a sequential video relative to one-shot and many-to-many models.

3D Human Pose Estimation Data Augmentation

MoEmo Vision Transformer: Integrating Cross-Attention and Movement Vectors in 3D Pose Estimation for HRI Emotion Detection

1 code implementation15 Oct 2023 David C. Jeong, Tianma Shen, Hongji Liu, Raghav Kapoor, Casey Nguyen, Song Liu, Christopher A. Kitts

In the current effort, we introduce 1) MoEmo (Motion to Emotion), a cross-attention vision transformer (ViT) for human emotion detection within robotics systems based on 3D human pose estimations across various contexts, and 2) a data set that offers full-body videos of human movement and corresponding emotion labels based on human gestures and environmental contexts.

3D Pose Estimation

An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information

no code implementations11 Jan 2023 Mingkai Tang, Boyi Liu, Yuanhang Li, Hongji Liu, Ming Liu, Lujia Wang

The low-level solver, the Sustainable Reverse Safe Interval Path Planning algorithm (SRSIPP), is an efficient single-agent solver that uses previous planning context to reduce duplicate calculations.

Computational Efficiency Multi-Agent Path Finding

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