IbPRIA 2022
IbPRIA 2022: 10th Iberian Conference on Pattern Recognition and Image Analysis
Aveiro, Portugal. May 4-6, 2022
News
February 18, 2021
Tutorials are provided by Hermann Ney and Gregory Rogez

January 18, 2021
Due to the pandemic situation, IbPRIA 2021 was postponed to May 2022 and renamed as IbPRIA 2022

October 8, 2020
Robert Fisher, Isabel Trancoso and Battista Biggio are the invited speakers

Partners

Oposec
Data Science Portugal
Tutorials

Title to be defined
Date: Tuesday afternoon, May 3

Hermann Ney

Hermann Ney is a professor of computer science at RWTH Aachen University, Aachen, Germany. His main research interests lie in the area of statistical classification, machine learning, neural networks and specific applications to speech recognition, handwriting recognition, machine translation and other tasks in natural language processing. He and his team contributed to a large number of European (e.g. TC-STAR, QUAERO, TRANSLECTURES, EU-BRIDGE) and US-American (e.g. GALE, BOLT, BABEL) large-scale joint projects. His work has resulted in more than 700 conference and journal papers with an h index of 100+ and 60000+ citations (based on Google scholar). More than 50 of his former PhD students work for the research and development centers of IT companies like Amazon, Apple, Ebay, Google and Nuance/Cerence. In particular, he and his team introduced the phrase-based approach to statistical machine translation. This approach was used by Franz Och and more of his former students at Google when in 2008 they introduced the service 'Google Translate.' Awards: 2005 Technical Achievement Award of the IEEE Signal Processing Society; 2013 Award of Honour of the International Association for Machine Translation; 2019 IEEE James L. Flanagan Speech and Audio Processing Award; 2021 ISCA Medal for Scientific Achievements.

Abstract

To be defined.


Title to be defined
Date: Tuesday afternoon, May 3

Gregory Rogez

Gregory Rogez is a Senior Scientist at NAVER LABS Europe, in Grenoble, France, where he leads the Computer Vision group. He received an M.Eng in Physics from ENSPM/Centrale Marseille France in 2002, and MSc and Ph.D. degrees in computer vision from the University of Zaragoza, Spain, in 2005 and 2012 respectively. During his PhD, he was a regular visiting student (2007-2008) and research fellow (2009-2010) in Oxford, UK. His work on monocular human body pose analysis received the best Ph.D. thesis award from the Spanish Association on Pattern Recognition (AERFAI) for the period 2011-2013. He was then a Marie Curie Fellow at UC Irvine, USA (2013-2015), a Research Scientist at Inria, France (2015-2018) and joined NAVER LABS Europe in 2019. His main research interests include computer vision and deep learning, with a special focus on sensing and understanding people from visual data and the application of such technology to AR/VR and robotics. He has published more than 30 papers on the topic and is a regular reviewer for top-tier journals and conferences in the field.

Abstract

To be defined.