9 citations · 9 across the 5 of their papers we have counts for
5 papers
PressMimic: Pressure-Guided Motion Capture and Control for Humanoid Robot Imitation
Yi Lu, Shenghao Ren, Tianyu Xiong +6
Humanoid motion imitation requires not only accurate perception of human kinematics but also faithful reproduction of physical interactions with the environment. However, existing…
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…
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…
Audio Matters Too! Enhancing Markerless Motion Capture with Audio Signals for String Performance Capture
Yitong Jin, Zhiping Qiu, Yi Shi +10
In this paper, we touch on the problem of markerless multi-modal human motion capture especially for string performance capture which involves inherently subtle hand-string contact…
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…