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Previous Invited Speakers

The researchers below were distinguished invited speakers at previous DeLTA conferences.
We are indebted to them for their contribution to heighten the conference level.

2023 | 2022 | 2021 | 2020


Pervasive AI: (deep) Learning into the Wild    
Davide Bacciu, University of Pisa, Italy

Deep Reinforcement Learning to Improve Traditional Supervised Learning Methodologies  
Luís Paulo Reis, Faculty of Engineering / LIACC, University of Porto, Portugal


Deep Learning Methods for Human Posture Estimation    
Ioannis Pitas, Informatics, Aristotle University of Thessaloniki, Greece

“Deep Internal Learning”: Deep Learning and Visual Inference without Prior Examples  
Michal Irani, Weizmann Institute of Science, Israel

Ethical Creation of Ethical Data    
João Freitas, PagerDuty, Portugal


More than Meets the Eye: Towards an Artificial Intelligence Observatory    
Matias Carrasco Kind, University Illinois Urbana Champaign, United States

Deep Learning for Biometric Systems: Applications and Trends  
Fabio Scotti, Computer Science, Universita degli Studi di Milano, Italy

Leveraging Deep Learning for Mental Health Promotion  
Elisabeth André, University of Augsburg, Germany

What is Common between Negative Transfer, Uncertainty and Food Recognition?    
Petia Radeva, Mathematics and Computer Science, Universitat de Barcelona, Spain


Uncertainty Modeling within an End-to-end Framework for Food Image Analysis    
Petia Radeva, Mathematics and Computer Science, Universitat de Barcelona, Spain

3D Scene Understanding from a Single Image    
Vincent Lepetit, École des Ponts ParisTech, France