2 citations · 2 across the 5 of their papers we have counts for
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EPOCH: Jointly Estimating the 3D Pose of Cameras and Humans
Nicola Garau, Giulia Martinelli, Niccolò Bisagno +2
Monocular Human Pose Estimation (HPE) aims at determining the 3D positions of human joints from a single 2D image captured by a camera. However, a single 2D point in the image may…
A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis
Niccolò Bisagno, Nicola Garau, Antonio Luigi Stefani +1
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. Mac…
Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks
Nicola Garau, Niccolò Bisagno, Zeno Sambugaro +1
Deep neural networks achieve outstanding results in a large variety of tasks, often outperforming human experts. However, a known limitation of current neural architectures is the…
DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders
Nicola Garau, Niccolò Bisagno, Piotr Bródka +1
Human Pose Estimation (HPE) aims at retrieving the 3D position of human joints from images or videos. We show that current 3D HPE methods suffer a lack of viewpoint equivariance, n…