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Found 4 papers, 3 papers with code
A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis
Simulation is a powerful tool to easily generate annotated data, and a highly desirable feature, especially in those domains where learning models need large training datasets.
Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks
When it comes to critical applications as autonomous driving, security and safety, medicine and health, the lack of interpretability of the network behavior tends to induce skepticism and limited trustworthiness, despite the accurate performance of such systems in the given task.
PanopTOP: a framework for generating viewpoint-invariant human pose estimation datasets
Human pose estimation (HPE) from RGB and depth images has recently experienced a push for viewpoint-invariant and scale-invariant pose retrieval methods.
DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders
Human Pose Estimation (HPE) aims at retrieving the 3D position of human joints from images or videos.
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