11 citations · 32 across the 23 of their papers we have counts for
3 papers · 2 filters
Improving 3D Pose Estimation for Sign Language
Maksym Ivashechkin, Oscar Mendez, Richard Bowden
This work addresses 3D human pose reconstruction in single images. We present a method that combines Forward Kinematics (FK) with neural networks to ensure a fast and valid predict…
Denoising Diffusion for 3D Hand Pose Estimation from Images
Maksym Ivashechkin, Oscar Mendez, Richard Bowden
Hand pose estimation from a single image has many applications. However, approaches to full 3D body pose estimation are typically trained on day-to-day activities or actions. As su…
Learning Adaptive Neighborhoods for Graph Neural Networks
Avishkar Saha, Oscar Mendez, Chris Russell +1
Graph convolutional networks (GCNs) enable end-to-end learning on graph structured data. However, many works assume a given graph structure. When the input graph is noisy or unavai…