Anomaly Detection in Video Data Based on Probabilistic Latent Space Models

no code implementations • 17 Mar 2020 • Giulia Slavic, Damian Campo, Mohamad Baydoun, Pablo Marin, David Martin, Lucio Marcenaro, Carlo Regazzoni

This paper proposes a method for detecting anomalies in video data.

Anomaly Detection Autonomous Vehicles

Hierarchy of GANs for learning embodied self-awareness model

no code implementations • 8 Jun 2018 • Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martin, Lucio Marcenaro, Carlo S. Regazzoni

In this work, a hierarchical model is introduced by means of a cross-modal Generative Adversarial Networks (GANs) processing high dimensional visual data.

Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving

no code implementations • 7 Jun 2018 • Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martin, Lucio Marcenaro, Carlo S. Regazzoni

This paper presents a novel approach for learning self-awareness models for autonomous vehicles.

Anomaly Detection Autonomous Vehicles +1

A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents

no code implementations • 17 Mar 2018 • Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martin, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni

This paper focuses on multi-sensor anomaly detection for moving cognitive agents using both external and private first-person visual observations.

Anomaly Detection