20 citations · 35 across the 7 of their papers we have counts for
5 papers · 1 filter
Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders
Damian Campo, Giulia Slavic, Mohamad Baydoun +2
This paper proposes a method for performing continual learning of predictive models that facilitate the inference of future frames in video sequences. For a first given experience,…
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models
Giulia Slavic, Damian Campo, Mohamad Baydoun +4
This paper proposes a method for detecting anomalies in video data. A Variational Autoencoder (VAE) is used for reducing the dimensionality of video frames, generating latent space…
Hierarchy of GANs for learning embodied self-awareness model
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo +4
In recent years several architectures have been proposed to learn embodied agents complex self-awareness models. In this paper, dynamic incremental self-awareness (SA) models are p…
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo +4
This paper presents a novel approach for learning self-awareness models for autonomous vehicles. The proposed technique is based on the availability of synchronized multi-sensor dy…
A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents
Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo +5
This paper focuses on multi-sensor anomaly detection for moving cognitive agents using both external and private first-person visual observations. Both observation types are used t…