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ORCIDDamian Campo
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2020 – today
- 2022
[j8]Hafsa Iqbal
, Damian Campo, Pablo Marín-Plaza, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Modeling Perception in Autonomous Vehicles via 3D Convolutional Representations on LiDAR. IEEE Trans. Intell. Transp. Syst. 23(9): 14608-14619 (2022)- [j7]Giulia Slavic, Mohamad Baydoun, Damian Campo, Lucio Marcenaro, Carlo S. Regazzoni:
Multilevel Anomaly Detection Through Variational Autoencoders and Bayesian Models for Self-Aware Embodied Agents. IEEE Trans. Multim. 24: 1399-1414 (2022) - 2021
- [j6]Hafsa Iqbal, Damian Campo, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Data-driven transition matrix estimation in probabilistic learning models for autonomous driving. Signal Process. 188: 108170 (2021) - [j5]Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models. IEEE Trans. Intell. Transp. Syst. 22(6): 3372-3386 (2021) - 2020
- [j4]Carlo S. Regazzoni, Lucio Marcenaro, Damian Campo, Bernhard Rinner:
Multisensorial Generative and Descriptive Self-Awareness Models for Autonomous Systems. Proc. IEEE 108(7): 987-1010 (2020) - [j3]Damian Campo, David Martín, Lucio Marcenaro:
Unsupervised Anomaly Detection Using Intelligent and Heterogeneous Autonomous Systems: Highlights From the 2020 IEEE Signal Processing Cup Student Competition [SP Competitions]. IEEE Signal Process. Mag. 37(5): 152-157 (2020) - [j2]Damian Campo, Mohamad Baydoun, Pablo Marin, David Martín, Lucio Marcenaro, Arturo de la Escalera, Carlo S. Regazzoni:
Learning Probabilistic Awareness Models for Detecting Abnormalities in Vehicle Motions. IEEE Trans. Intell. Transp. Syst. 21(3): 1308-1320 (2020) - [c17]Giulia Slavic, Damian Campo, Mohamad Baydoun, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models. EAIS 2020: 1-8 - [c16]Damian Campo, Giulia Slavic, Mohamad Baydoun, Lucio Marcenaro, Carlo S. Regazzoni:
Continual Learning Of Predictive Models In Video Sequences Via Variational Autoencoders. ICIP 2020: 753-757 - [c15]Hafsa Iqbal, Damian Campo, Giulia Slavic, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni:
Optimization of Probabilistic Switching Models Based on a Two-Step Clustering Approach. SiPS 2020: 1-6 - [i10]Giulia Slavic, Damian Campo, Mohamad Baydoun, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Anomaly Detection in Video Data Based on Probabilistic Latent Space Models. CoRR abs/2003.07623 (2020) - [i9]Damian Campo, Giulia Slavic, Mohamad Baydoun, Lucio Marcenaro, Carlo S. Regazzoni:
Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders. CoRR abs/2006.01945 (2020) - [i8]Divya Kanapram, Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Eliane L. Bodanese, Carlo S. Regazzoni, Mario Marchese:
Dynamic Bayesian Approach for decision-making in Ego-Things. CoRR abs/2010.14900 (2020)
2010 – 2019
- 2019
- [c14]Hassan Zaal, Hafsa Iqbal, Damian Campo, Lucio Marcenaro, Carlo S. Regazzoni:
Incremental Learning of Abnormalities in Autonomous Systems. AVSS 2019: 1-8 - [c13]Mohamad Baydoun, Damian Campo, Divya Kanapram, Lucio Marcenaro, Carlo S. Regazzoni:
Prediction of Multi-target Dynamics Using Discrete Descriptors: an Interactive Approach. ICASSP 2019: 3342-3346 - [c12]Divya Kanapram, Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Eliane L. Bodanese, Carlo S. Regazzoni, Mario Marchese:
Dynamic Bayesian Approach for decision-making in Ego-Things. WF-IoT 2019: 909-914 - [i7]Vahid Bastani, Damian Campo, Lucio Marcenaro, Carlo S. Regazzoni:
Online Pedestrian Group Walking Event Detection Using Spectral Analysis of Motion Similarity Graph. CoRR abs/1909.01258 (2019) - [i6]Damian Campo, Manuela Bastidas, Olga Lucía Quintero:
Multiresolution analysis (discrete wavelet transform) through Daubechies family for emotion recognition in speech. CoRR abs/1909.01265 (2019) - [i5]Damian Campo, Vahid Bastani, Lucio Marcenaro, Carlo S. Regazzoni:
Incremental learning of environment interactive structures from trajectories of individuals. CoRR abs/1909.03980 (2019) - [i4]Damian Campo, Alejandro Betancourt, Lucio Marcenaro, Carlo S. Regazzoni:
Static force field representation of environments based on agents nonlinear motions. CoRR abs/1909.04010 (2019) - 2018
- [c11]Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving. FUSION 2018: 1866-1873 - [c10]Mohamad Baydoun, Damian Campo, Valentina Sanguineti, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni:
Learning Switching Models for Abnormality Detection for Autonomous Driving. FUSION 2018: 2606-2613 - [c9]Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni:
a Multi-Perspective Approach to Anomaly Detection for Self -Aware Embodied Agents. ICASSP 2018: 6598-6602 - [c8]Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni:
Unsupervised Trajectory Modeling Based on Discrete Descriptors for Classifying Moving Objects in Video Sequences. ICIP 2018: 833-837 - [c7]Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Hierarchy of Gans for Learning Embodied Self-Awareness Model. ICIP 2018: 1987-1991 - [i3]Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni:
A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents. CoRR abs/1803.06579 (2018) - [i2]Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving. CoRR abs/1806.02609 (2018) - [i1]Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni:
Hierarchy of GANs for learning embodied self-awareness model. CoRR abs/1806.04012 (2018) - 2017
- [j1]Damian Campo, Alejandro Betancourt, Lucio Marcenaro, Carlo S. Regazzoni:
Static force field representation of environments based on agents' nonlinear motions. EURASIP J. Adv. Signal Process. 2017: 13 (2017) - [c6]Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni:
Modeling and classification of trajectories based on a Gaussian process decomposition into discrete components. AVSS 2017: 1-6 - [c5]Juan Sebastian Olier, Damian Andres Campo, Lucio Marcenaro, Emilia I. Barakova, Matthias Rauterberg, Carlo S. Regazzoni:
Active estimation of motivational spots for modeling dynamic interactions. AVSS 2017: 1-6 - [c4]Damian Campo, Mohamad Baydoun, Lucio Marcenaro, Carlo S. Regazzoni:
Task-dependent saliency estimation from trajectories of agents in video sequences. ICIP 2017: 4252-4256 - [c3]Tassadaq Nawaz, Damian Campo, Muhammad Ozair Mughal, Lucio Marcenaro, Carlo S. Regazzoni:
Jammer detection algorithm for wide-band radios using spectral correlation and neural networks. IWCMC 2017: 246-251 - 2016
- [c2]Damian Campo, Vahid Bastani, Lucio Marcenaro, Carlo S. Regazzoni:
Incremental learning of environment interactive structures from trajectories of individuals. FUSION 2016: 589-596 - 2015
- [c1]Vahid Bastani, Damian Campo, Lucio Marcenaro, Carlo S. Regazzoni:
Online pedestrian group walking event detection using spectral analysis of motion similarity graph. AVSS 2015: 1-5
Coauthor Index
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