Search Results for author:
Found 2 papers, 1 papers with code
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling
Normalizing flows have proven their efficacy for density estimation in Euclidean space, but their application to rotational representations, crucial in various domains such as robotics or human pose modeling, remains underexplored.
Sample-Specific Output Constraints for Neural Networks
For illustration purposes, we model ConstraintNet by modifying a CNN and construct constraints for facial landmark prediction tasks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
