activity
20232026
most citedAttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Estimating Accurate Hand Pose in Camera Space with Vision Transformer

Kaiwen Ren, Yiran Jiang, Yongjing Ye +1

Monocular RGB-based hand pose estimation has emerged as a critical research frontier in computer vision. The local hand pose estimation methods predict hand poses relative to the w…

cs.CV2025

HMVLM: Human Motion-Vision-Lanuage Model via MoE LoRA

Lei Hu, Yongjing Ye, Shihong Xia

The expansion of instruction-tuning data has enabled foundation language models to exhibit improved instruction adherence and superior performance across diverse downstream tasks.…

cs.CV2025

Learning Transformation-Isomorphic Latent Space for Accurate Hand Pose Estimation

Kaiwen Ren, Lei Hu, Zhiheng Zhang +2

Vision-based regression tasks, such as hand pose estimation, have achieved higher accuracy and faster convergence through representation learning. However, existing representation…

cs.GR2024

Diffusion-based Human Motion Style Transfer with Semantic Guidance

Lei Hu, Zihao Zhang, Yongjing Ye +2

3D Human motion style transfer is a fundamental problem in computer graphic and animation processing. Existing AdaIN- based methods necessitate datasets with balanced style distrib…

cs.CV2023

Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation

Boyuan Jiang, Lei Hu, Shihong Xia

3D human pose estimation has been a long-standing challenge in computer vision and graphics, where multi-view methods have significantly progressed but are limited by the tedious c…

cs.CV2023★ 1 cited

AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism

Chongyang Zhong, Lei Hu, Zihao Zhang +1

Generating 3D human motion based on textual descriptions has been a research focus in recent years. It requires the generated motion to be diverse, natural, and conform to the text…