1 code implementation • 30 Apr 2024 • Mingkai Tang, Yuanhang Li, Hongji Liu, Yingbing Chen, Ming Liu, Lujia Wang
However, this paper demonstrates that the methods based on DVS cannot always obtain the optimal solution.
no code implementations • 15 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.
1 code implementation • 15 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.
no code implementations • 11 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.