Previous Invited Speakers
The researchers below were distinguished invited speakers at previous ICPRAM conferences.
We are indebted to them for their contribution to heighten the conference level.
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012
2024
A Review on Malicious Facial Image Processing and Possible Counter-Measures 
Jean-Luc Dugelay, EURECOM, France Combining Images and Words in Deep Networks that Identify People from Body Shape Alice Joan O'Toole, The University of Texas at Dallas, United States Letting Go of the Numbers: Measuring AI Trustworthiness Carol J. Smith, Carnegie Mellon University, Software Engineering Institute, United States
2023
Self-Supervised Fine-Grained Food Recognition Petia Radeva, Universitat de Barcelona, Spain Fingerprint Recognition: Billion-Class Pattern Recognition Problem Anil Jain, Michigan State University, United States Causal Discovery from Observation Data: Some Recent Advances Mario Figueiredo, Instituto de Telecomunicações, Portugal
2022
Everything Has Been Done, It Is Our Job to Do It One Better in Image Matching and Localisation Krystian Mikolajczyk, Imperial College London, United Kingdom Image and Video Generation: A Deep Learning Approach Nicu Sebe, University of Trento, Italy
2021
Biases, Discrimination, and Fairness in Biometrics and Beyond Julian Fierrez, Universidad Autonoma de Madrid, Spain 3D Motion Analysis with Event-based Sensors Cornelia Fermüller, University of Maryland, United States The Principle of Least Cognitive Action in Vision Marco Gori, University of Siena, Italy
2020
Privacy-preserving Machine Learning for Multimedia Data Andrea Cavallaro, Queen Mary University of London, United Kingdom Toward User-adaptive VisualizationsCristina Conati, University of British Columbia, Canada Integrating Generative Modeling into Deep Learning Max Welling, University of Amsterdam, Netherlands
2019
Deep Learning in Image Diagnostics: Recent Results and Outlook Bram van Ginneken, Radboud University Medical Center, Netherlands Unsupervised Internal Learning Michal Irani, Weizmann Institute of Science, Israel Double-identity Biometrics Davide Maltoni, University of Bologna, Italy
2018
Human Behaviour Understanding for Automotive and Surveillance Rita Cucchiara, University of Modena and Reggio Emilia, Italy Time Evolving Networks in Finance and Medicine Edwin Hancock, York University, United Kingdom Biomedical Imaging - Challenges and Potentials Xiaoyi Jiang, University of Münster, Germany On Location and Registration Fiducials - Their Analysis and Design Alfred Bruckstein, Technion, Israel
2017
Speech Technologies: Reaching Maturity? Isabel Trancoso, L2f INESC-ID/IST, Portugal Re-identification: State of the Art and Current Trends Vittorio Murino, University of Verona, Italy The Next Grand Challenge in Computer Vision: From Gesture Recognition to Sign Language Recognition Lale Akarun, Bogazici University, Turkey Learning to See by Hearing Antonio Torralba, Massachusetts Institute of Technology, United States
2016
Recent Progress in Biometrics Arun Ross, Michigan State University, United States Getting Lost in the Wealth of Classifier Ensembles? Ludmila Kuncheva, Independent Researcher, United Kingdom Adversarial Pattern Recognition Fabio Roli, Università degli Studi di Cagliari, Italy Biosignal-based Cognitive Systems and Applications Tanja Schultz, Cognitive Systems Lab (CSL), University of Bremen, Germany
2015
Place-based Information Systems - Textual Location Identification and VisualizationHanan Samet, University of Maryland, United States ThinkBIG - Understanding the Impact of Big Data on Science and SocietyNello Cristianini, University of Bristol, United Kingdom Towards a Holistic Theory of Pattern Recognition - A Game-theoretic Perspective Marcello Pelillo, University of Venice, Italy 3D Computer Vision - From Points to Concepts Luís Alexandre, UBI/IT, Portugal
2014
Robust Face Recognition for Uncontrolled Settings Harry Wechsler, George Mason University, United States Classifier Incongruence Detection for Anomaly Flagging in Machine Perception Josef Kittler, University of Surrey, United Kingdom Efficient and Versatile 3D Laser Mapping for Challenging EnvironmentsRobert Zlot, Computational Informatics,, Australia
2013
Solving Perception Uncertainty Problems in Robotics Alberto Sanfeliu, Universitat Politècnica de Cataluyna, Spain The Computational Magic of Pattern Recognition in Cortex: A Theory of Selectivity and Invariance Tomaso Poggio, CBCL, McGovern Institute, Massachusetts Institute of Technology, United States Alternating Direction Optimization for Imaging and Machine Learning Problems Mário Figueiredo, Instituto de Telecomunicações and Instituto Superior Técnico, University of Lisbon, Portugal Digital Pathology Imaging – The Next Frontier in Medical Imaging Bikash Sabata, , United States
2012
THE INTERPLAY OF STATISTICAL AND STRUCTURAL PATTERN RECOGNITION FROM A MACHINE LEARNING PERSPECTIVE Tiberio Caetano, NICTA and Australian National University, Australia STRUCTURED SPARSITY AND CONVEX OPTIMIZATION Francis Bach, Laboratoire d'Informatique de l'Ecole Normale Supérieure, Paris, France MEASURE OF STATISTICAL DEPENDENCE José C. Príncipe, University of Florida, United States CONTEXT SENSITIVE INFORMATION: MODEL VALIDATION BY INFORMATION THEORY Joachim M. Buhmann, Independent Researcher, Switzerland