no code implementations • 25 Jul 2023 • James Z. Wang, Sicheng Zhao, Chenyan Wu, Reginald B. Adams, Michelle G. Newman, Tal Shafir, Rachelle Tsachor
The emergence of artificial emotional intelligence technology is revolutionizing the fields of computers and robotics, allowing for a new level of communication and understanding of human behavior that was once thought impossible.
no code implementations • 5 Apr 2023 • Chenyan Wu, Dolzodmaa Davaasuren, Tal Shafir, Rachelle Tsachor, James Z. Wang
Body movements carry important information about a person's emotions or mental state and are essential in daily communication.
no code implementations • 2 Mar 2023 • Chenyan Wu, Yimu Pan, Yandong Li, James Z. Wang
Test-time adaptation (TTA) is a technique used to reduce distribution gaps between the training and testing sets by leveraging unlabeled test data during inference.
no code implementations • 25 May 2022 • Chenyan Wu, Yandong Li, Xianfeng Tang, James Wang
Our method works like the following: First, to model the multi-human environment, it processes multi-human 2D poses and builds a novel heterogeneous graph, where nodes from different people and within one person are connected to capture inter-human interactions and draw the body geometry (i. e., skeleton and mesh structure).
Ranked #5 on 3D Multi-Person Pose Estimation on MuPoTS-3D
3D Multi-Person Human Pose Estimation 3D Multi-Person Pose Estimation
1 code implementation • CVPR 2020 • Chenyan Wu, Yukun Chen, Jiajia Luo, Che-Chun Su, Anuja Dawane, Bikramjot Hanzra, Zhuo Deng, Bilan Liu, James Wang, Cheng-Hao Kuo
We present COCO-MEBOW (Monocular Estimation of Body Orientation in the Wild), a new large-scale dataset for orientation estimation from a single in-the-wild image.