1 citations · 2 across the 5 of their papers we have counts for
5 papers
GHOST: Fast Category-agnostic Hand-Object Interaction Reconstruction from RGB Videos using Gaussian Splatting
Ahmed Tawfik Aboukhadra, Marcel Rogge, Nadia Robertini +4
Understanding realistic hand-object interactions from monocular RGB videos is essential for AR/VR, robotics, and embodied AI. Existing methods rely on category-specific templates o…
Fast-HaMeR: Boosting Hand Mesh Reconstruction using Knowledge Distillation
Hunain Ahmed Jillani, Ahmed Tawfik Aboukhadra, Ahmed Elhayek +3
Fast and accurate 3D hand reconstruction is essential for real-time applications in VR/AR, human-computer interaction, robotics, and healthcare. Most state-of-the-art methods rely…
SurgeoNet: Realtime 3D Pose Estimation of Articulated Surgical Instruments from Stereo Images using a Synthetically-trained Network
Ahmed Tawfik Aboukhadra, Nadia Robertini, Jameel Malik +3
Surgery monitoring in Mixed Reality (MR) environments has recently received substantial focus due to its importance in image-based decisions, skill assessment, and robot-assisted s…
ShapeGraFormer: GraFormer-Based Network for Hand-Object Reconstruction from a Single Depth Map
Ahmed Tawfik Aboukhadra, Jameel Malik, Nadia Robertini +2
3D reconstruction of hand-object manipulations is important for emulating human actions. Most methods dealing with challenging object manipulation scenarios, focus on hands reconst…
THOR-Net: End-to-end Graformer-based Realistic Two Hands and Object Reconstruction with Self-supervision
Ahmed Tawfik Aboukhadra, Jameel Malik, Ahmed Elhayek +2
Realistic reconstruction of two hands interacting with objects is a new and challenging problem that is essential for building personalized Virtual and Augmented Reality environmen…