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Nicola Garau

2 accepted papers

2022

Interpretable Part-Whole Hierarchies and Conceptual-Semantic Relationships in Neural Networks

CVPR 2022oral

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 poor accessibility to understand and interpret the network response to a given input. This is directly related to the hu…

Cited by 31PDFcodeScholar
2021

DECA: Deep Viewpoint-Equivariant Human Pose Estimation Using Capsule Autoencoders

ICCV 2021poster

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, namely they tend to fail or perform poorly when dealing with viewpoints unseen at training time. Deep learning methods of…

Cited by 35PDFcodeScholar