Reconstructing interacting hands from a single RGB image is a very challenging task. On the
one hand, severe mutual occlusion and similar local appearance between two hands …

We propose PHRIT, a novel approach for parametric hand mesh modeling with an implicit
template that combines the advantages of both parametric meshes and implicit …

Advances in self-supervised learning, especially in contrastive learning, have drawn
attention to investigating these techniques in providing effective visual representations from …

Reconstructing high-fidelity hand models with intricate textures plays a crucial role in
enhancing human-object interaction and advancing real-world applications. Despite the …

Enable neural networks to capture 3D geometrical-aware features is essential in multi-view
based vision tasks. Previous methods usually encode the 3D information of multi-view …

Hand gesture is one of the most efficient and natural interfaces in current human–computer
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …

Accurately reconstructing 3-D hand shapes of patients is important for immobilization device
customization, artificial limb generation, and hand disease diagnosis. Traditional 3-D hand …

Despite its extensive range of potential applications in virtual reality and augmented reality,
3D hand pose estimation from RGB image remains a very challenging problem. The …

Hand mesh reconstruction from the monocular image is a challenging task due to its depth
ambiguity and severe occlusion, there remains a non-unique mapping between the …

Manual assembly workers face increasing complexity in their work. Human-centered
assistance systems could help, but object recognition as an enabling technology hinders a …