Recent hand-object interaction datasets show limited real object variabi...
We address the problem of action-conditioned generation of human motion
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Training state-of-the-art models for human pose estimation in videos req...
Learning causal relationships in high-dimensional data (images, videos) ...
Training state-of-the-art models for human body pose and shape recovery ...
Understanding causes and effects in mechanical systems is an essential
c...
This paper aims at learning representations for long sequences of contin...
Human activity recognition is typically addressed by training models to
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We propose a method for human activity recognition from RGB data which d...
We propose a new spatio-temporal attention based mechanism for human act...
We address human action recognition from multi-modal video data involvin...