Perceptual and Cognitive Systems



 

The research in this area covers:

  • Biometrics: novelties in learning architectures and the improvement of the several facial recognition systems;
  • Improvement of the security of visual content: achieving good accuracy in printer-proof steganography with applications in the security of ID documents;
  • Analysis of endoscopic imagery for computer assisted surgery and diagnosis;
  • Analysis of images from capsule endoscopy for computer assisted diagnosis;
  • Analysis of images from deformable objects;
  • Solutions to incorporate causality and counterfactual inference principles in deep learning to enhance their interpretability, namely, Causal Representation Learning, Counterfactual Learning and Knowledge Distillation.

Projects



Publications


Ana Pinto, Leticia Lemos, Carla Carvalho, Joana Santos, P. Menezes, Tatsuya Nomura, Translation, Adaptation, and Validation in Portuguese of an Acceptance Scale for Human–Robot Interaction in an Industrial Context, Human Behavior and Emerging Technologies, Wiley, 2025
Jose Lourenco, Goncalo Arsenio, L. Artur da Silva Garrote, U. J. Nunes, , Multimodal 6D Detection of Industrial Pallets, in Real and Virtual Environments, with Applications in Industrial AMRs, In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics , Vol. 2: ICINCO; ISBN 978-989-758-717-7, SciTePress, 2024
E. Borges, L. Artur da Silva Garrote, U. J. Nunes, A Modular Multimodal Multi-Object Tracking-by-Detection Approach, with Applications in Outdoor and Indoor Environments, In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics , Vol. 2: ICINCO; ISBN 978-989-758-717-7, SciTePress, 2024
W. Moreira Cardoso, T. Barros da Silva, G. Goncalves, C. Premebida, U. J. Nunes, Multispectral Image Segmentation in Agriculture: Evaluating Deep Learning Models with Train-Test Split and Cross-Validation Strategies, 7th Iberian Robotics Conference (ROBOT), Madrid - Spain, 2024
Joao Jorge, T. Barros da Silva, C. Premebida, M. Aleksandrov, Daniel Goehring, U. J. Nunes, Impact of 3D LiDAR Resolution in Graph-Based SLAM Approaches: A Comparative Study, 7th Iberian Robotics Conference (ROBOT), Madrid - Spain, 2024
B. Jin, N. Gonçalves, L. Cruz, I. Medvedev, Yuanyu Yu, Jiujiang Wang, , Simulated multimodal deep facial diagnosis, Expert Systems with Applications, 2024
T. Barros da Silva, C. Premebida, Stephanie Aravecchia, Cedric Pradalier, U. J. Nunes, SPVSoAP3D: A Second-order Average Pooling Approach to enhance 3D Place Recognition in Horticultural Environments, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, United Arab Emirates, 2024
L. Artur da Silva Garrote, J. Perdiz, Mine Yasemin, G. Pires, U. J. Nunes, Two-Stream Architecture with Contrastive and Self-Supervised Attention Feature Fusion for Error-related Potentials Classification, 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN), Pasadena, CA, USA, 2024
E. Parvini, A. Hajalilou, Joao Pedro Goncalves Vilarinho, P. Lopes, Miguel Maranha, M. Tavakoli, Gallium–Carbon: A Universal Composite for Sustainable 3D Printing of Integrated Sensor–Heater–Battery Systems in Wearable and Recyclable Electronics, ACS Applied Materials & Interfaces, 2024
R. Bettencourt, M. Castelo-Branco, Edna Goncalves, U. J. Nunes, G. Pires, Comparing Several P300-Based Visuo-Auditory Brain-Computer Interfaces for a Completely Locked-in ALS Patient: A Longitudinal Case Study, Applied Sciences, 14(8), 3464, 2024
L. Artur da Silva Garrote, Ulisses Reverendo, U. J. Nunes, Exploiting 3D Grids for Indoor SLAM in Featureless Scenarios, 2024 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Paredes de Coura, Portugal, 2024
Joao Estiveira, Ernesto Soares, G. Pires, U. J. Nunes, T. Sousa, Sidarta Ribeiro, M. Castelo-Branco, SSVEP modulation via non-volitional neurofeedback: an in silico proof of concept, Journal of Neural Engineering, Vol. 21, Nº 6, 2024
R. Pereira, T. Barros da Silva, L. Artur da Silva Garrote, A. Barata Pires Lopes, U. J. Nunes, A deep learning-based global and segmentation-based semantic feature fusion approach for indoor scene classification, Pattern Recognition Letters, Vol. 179, 2024
D. Areia Cruz, J. Batista, Causality and tractable probabilistic models, Frontiers in Computer Science, 2024
J. Morais Ferreira, L. Martins Almeida, V. Santos, Improved humanoid gait using learning-based analysis of a new wearable 3D force system, 1, Universidade de Aveiro, Portugal, 2023, Supervised by