Search Results for author:
Found 9 papers, 0 papers with code
Dynamic Bayesian Approach for decision-making in Ego-Things
The proposed method produces multiple inference models by considering several features of the observed data.
Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders
This paper proposes a method for performing continual learning of predictive models that facilitate the inference of future frames in video sequences.
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models
This paper proposes a method for detecting anomalies in video data.
Static force field representation of environments based on agents nonlinear motions
This paper presents a methodology that aims at the incremental representation of areas inside environments in terms of attractive forces.
Incremental learning of environment interactive structures from trajectories of individuals
This work proposes a novel method for estimating the influence that unknown static objects might have over mobile agents.
Online Pedestrian Group Walking Event Detection Using Spectral Analysis of Motion Similarity Graph
A method for online identification of group of moving objects in the video is proposed in this paper.
Hierarchy of GANs for learning embodied self-awareness model
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
This paper presents a novel approach for learning self-awareness models for autonomous vehicles.
A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents
This paper focuses on multi-sensor anomaly detection for moving cognitive agents using both external and private first-person visual observations.
