9 citations · 9 across the 5 of their papers we have counts for
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cs.CV2026
BioHuman: Learning Biomechanical Human Representations from Video
Yujun Huo, He Zhang, Chentao Song +3
Understanding human motion beyond surface kinematics is crucial for motion analysis, rehabilitation, and injury risk assessment. However, progress in this domain is limited by the…
cs.CV2025
MotionPRO: Exploring the Role of Pressure in Human MoCap and Beyond
Shenghao Ren, Yi Lu, Jiayi Huang +5
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 virtua…
cs.CV2024
MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors
He Zhang, Shenghao Ren, Haolei Yuan +7
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 threshold…