Luiz Gustavo Hafemann
About Luiz Gustavo Hafemann
Luiz Gustavo Hafemann is a Computer Vision Researcher with a Master's degree in Computer Science from Universidade Federal do Paraná and a Ph.D. from École de technologie supérieure. He has achieved notable recognition in the field, including 1st place in the 'Untargeted attacks' track at the 2018 NIPS competition and has published multiple articles on computer vision and machine learning.
Work at Sportlogiq
Luiz Gustavo Hafemann has been employed at Sportlogiq as a Computer Vision Researcher since 2019. His role involves applying advanced computer vision techniques to enhance sports analytics. Based in the Montreal, Canada area, he contributes to the development of innovative solutions that leverage visual data in sports contexts.
Education and Expertise
Luiz Gustavo Hafemann completed his Bachelor's degree in Computer Science at Universidade Federal do Paraná from 2005 to 2008. He then pursued a Master's degree in the same field at the same institution, focusing on Deep Learning models for Texture Classification, which he completed in 2014. He further advanced his studies by obtaining a Doctor of Philosophy (Ph.D.) in Computer Science from École de technologie supérieure between 2015 and 2019, concentrating on Offline Handwritten Signature Verification.
Background
Luiz Gustavo Hafemann began his career with internships, including a position at MPS Informática Ltda from 2006 to 2008. He later joined ExxonMobil, where he held various roles, including Software Engineer, SQL Server DBA, and Database Engineer from 2009 to 2015. He also served as a PhD Candidate at École de technologie supérieure from 2015 to 2019, where he engaged in research and development in computer vision.
Achievements
Luiz Gustavo Hafemann achieved 1st place in the 'Untargeted attacks' track at the 2018 NIPS competition, which focused on adversarial attacks and defenses. He has published nine articles in the fields of computer vision and machine learning. His contributions include co-authoring a paper on detecting and matching related objects in sports videos presented at CVPRW 2021 and research on group activity detection in soccer, presented at CVPR 2020.
Research Contributions
Luiz Gustavo Hafemann has actively participated in the academic community, attending the Deep Learning Summer School organized by the MILA lab in 2015 and 2016. His research contributions have significantly advanced the understanding of computer vision applications in sports and biometric verification.