UniHPE: Towards Unified Human Pose Estimation via Contrastive Learning

no code implementations • 24 Nov 2023 • Zhongyu Jiang, Wenhao Chai, Lei LI, Zhuoran Zhou, Cheng-Yen Yang, Jenq-Neng Hwang

In this paper, we propose UniHPE, a unified Human Pose Estimation pipeline, which aligns features from all three modalities, i. e., 2D human pose estimation, lifting-based and image-based 3D human pose estimation, in the same pipeline.

2D Human Pose Estimation 3D Human Pose Estimation +3

Efficient Domain Adaptation via Generative Prior for 3D Infant Pose Estimation

1 code implementation • 17 Nov 2023 • Zhuoran Zhou, Zhongyu Jiang, Wenhao Chai, Cheng-Yen Yang, Lei LI, Jenq-Neng Hwang

We further apply a guided diffusion model to domain adapt 3D adult pose to infant pose to supplement small datasets.

3D Human Pose Estimation Data Augmentation +1

CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility

1 code implementation • 19 Jul 2023 • Guohai Xu, Jiayi Liu, Ming Yan, Haotian Xu, Jinghui Si, Zhuoran Zhou, Peng Yi, Xing Gao, Jitao Sang, Rong Zhang, Ji Zhang, Chao Peng, Fei Huang, Jingren Zhou

In this paper, we present CValues, the first Chinese human values evaluation benchmark to measure the alignment ability of LLMs in terms of both safety and responsibility criteria.

Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation

1 code implementation • 7 Jul 2023 • Zhongyu Jiang, Zhuoran Zhou, Lei LI, Wenhao Chai, Cheng-Yen Yang, Jenq-Neng Hwang

Learning-based methods have dominated the 3D human pose estimation (HPE) tasks with significantly better performance in most benchmarks than traditional optimization-based methods.

3D Human Pose Estimation Image to 3D