22 citations · 74 across the 10 of their papers we have counts for
10 papers
Dynamic Bayesian Approach for decision-making in Ego-Things
Divya Kanapram, Damian Campo, Mohamad Baydoun +4
This paper presents a novel approach to detect abnormalities in dynamic systems based on multisensory data and feature selection. The proposed method produces multiple inference mo…
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,…
Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo +4
The technology for autonomous vehicles is close to replacing human drivers by artificial systems endowed with high-level decision-making capabilities. In this regard, systems must…
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…
Static force field representation of environments based on agents nonlinear motions
Damian Campo, Alejandro Betancourt, Lucio Marcenaro +1
This paper presents a methodology that aims at the incremental representation of areas inside environments in terms of attractive forces. It is proposed a parametric representation…
Incremental learning of environment interactive structures from trajectories of individuals
Damian Campo, Vahid Bastani, Lucio Marcenaro +1
This work proposes a novel method for estimating the influence that unknown static objects might have over mobile agents. Since the motion of agents can be affected by the presence…
Online Pedestrian Group Walking Event Detection Using Spectral Analysis of Motion Similarity Graph
Vahid Bastani, Damian Campo, Lucio Marcenaro +1
A method for online identification of group of moving objects in the video is proposed in this paper. This method at each frame identifies group of tracked objects with similar loc…
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…