2 citations · 5 across the 12 of their papers we have counts for
4 papers · 1 filter
NeuroSymbEAD: A Large Scale Neuro-Symbolic Caption Dataset for Omni-Directional Embodied Autonomous Driving
Muhammad Ahmed Ullah Khan, Mohammed Elamine, Sheikh Talha Uddin +3
This paper introduces NeuroSymbEAD, a large-scale neuro-symbolic caption dataset featuring an ego-centric knowledge graph (KG) of static and dynamic objects annotated with classes,…
Amortized Inverse Kinematics via Graph Attention for Real-Time Human Avatar Animation
Muhammad Saif Ullah Khan, Chen-Yu Wang, Tim Prokosch +3
Inverse kinematics (IK) is a core operation in animation, robotics, and biomechanics: given Cartesian constraints, recover joint rotations under a known kinematic tree. In many rea…
ReConText3D: Replay-based Continual Text-to-3D Generation
Muhammad Ahmed Ullah Khan, Muhammad Haris Bin Amir, Didier Stricker +1
Continual learning enables models to acquire new knowledge over time while retaining previously learned capabilities. However, its application to text-to-3D generation remains unex…
SIMSPINE: A Biomechanics-Aware Simulation Framework for 3D Spine Motion Annotation and Benchmarking
Muhammad Saif Ullah Khan, Didier Stricker
Modeling spinal motion is fundamental to understanding human biomechanics, yet remains underexplored in computer vision due to the spine's complex multi-joint kinematics and the la…