Topic: DexYCB

Hands are highly articulated and multiskilled instruments for object manipulation. Many domains in neuroscience, from motor control to translational neuroscience, highly benefit from assessments of hand functions. The estimation of hand poses on a single-camera view allows for a simple experimental setting without the need for calibration and synchronization. However, frequent occlusions between interactive objects and digits, challenge state-of-the-art pose estimation predictions. Thus, instead of focusing on the hand pose on its own, we leverage the mutual constraints of the hand and its int