Shenghao Ren — accepted AI-conference papers

2025

MotionPRO: Exploring the Role of Pressure in Human MoCap and Beyond

Shenghao Ren, Yi Lu, Jiayi Huang, Jiayi Zhao, He Zhang, Tao Yu +2

CVPR 2025highlight

Existing human Motion Capture (MoCap) methods mostly focus on the visual similarity while neglecting the physical plausibility. As a result, downstream tasks such as driving virtual human in 3D scene or humanoid robots in real world suffer from issues such as timing drift and jitter, spatial problem…

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2024

MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors

He Zhang, Shenghao Ren, Haolei Yuan, Jianhui Zhao, Fan Li, Shuangpeng Sun +4

CVPR 2024poster

Foot contact is an important cue for human motion capture understanding and generation. Existing datasets tend to annotate dense foot contact using visual matching with thresholding or incorporating pressure signals. However these approaches either suffer from low accuracy or are only designed for s…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗