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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.

2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012

2022

Machine Learning for Medicine and Healthcare    
Mihaela van der Schaar, University of Cambridge, United Kingdom

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

Keep on Learning  
Tinne Tuytelaars, KU Leuven, Belgium

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 Visualizations
Cristina 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 Visualization
Hanan Samet, University of Maryland, United States

ThinkBIG - Understanding the Impact of Big Data on Science and Society
Nello 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

Deep-er Kernels    
John Shawe-Taylor, Independent Researcher, United Kingdom

Efficient and Versatile 3D Laser Mapping for Challenging Environments
Robert 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

DETECTING MEAN REVERTED PATTERNS IN STATISTICAL ARBITRAGE    
Kostas Triantafyllopoulos, University of Sheffield, United Kingdom


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