Video domain generalization aims to learn generalizable video classification models for
unseen target domains by training in a source domain. A critical challenge of video domain …

Wearable cameras allow to acquire images and videos from the user's perspective. These
data can be processed to understand humans behavior. Despite human behavior analysis …

Human actions are typically of combinatorial structures or patterns, ie, subjects, objects, plus
spatio-temporal interactions in between. Discovering such structures is therefore a …

This paper focuses on action recognition tasks oriented to the field of human–robot
interaction, which is one of the major challenges in the robotic video understanding field …

It is not trivial to optimally learn a 3D Convolutional Neural Networks (3D ConvNets) due to
high complexity and various options of the training scheme. The most common hand-tuning …

Analysis of human actions in videos demands understanding complex human dynamics, as
well as the interaction between actors and context. However, these interaction relationships …

This thesis studies the problem of human action recognition and detection in single images,
which are important steps towards the high-level semantic understanding of human-centric …

It is not trivial to optimally learn a 3D Convolutional Neural Networks (3D ConvNets) due to
high complexity and various options of the training scheme. The most common hand-tuning …