Avraham Chapman
Higher Degree by Research Candidate
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
Avraham Chapman is currently a part time M Phil candidate undertaking research in Computer Vision. He has over 17 years of experience in industry as a software engineer. He has received a B Comp Sci from the University of Adelaide and a Graduate Certificate in Computer Systems Engineering from RMIT. His research interests primarily focus on the application of unsupervised learning techniques to computer vision.
My research is concerned with finding ways of training deep neural networks in counting tasks, such as crowd counting, using unsupervised methods. Previous research was concerned with acheiving 'detection like' accuracy using regression-based crowd counting models.
-
Appointments
Date Position Institution name 2017 - ongoing Senior Software Engineer Saab Systems 2015 - 2017 Senior Software Developer NoQ 2014 - 2015 Contract Software Engineer ASC 2012 - 2014 Senior Java Engineer Sydac 2012 - 2011 Senior Software Engineer BAE SYSTEMS 2009 - 2010 Software Engineer BAE SYSTEMS 2003 - 2009 Software Systems Engineer BAE SYSTEMS -
Language Competencies
Language Competency Chinese (Mandarin) Can read and write English Can read, write, speak, understand spoken and peer review -
Education
Date Institution name Country Title 2005 - 2006 RMIT Australia Graduate Certificate in Computer Systems Engineering 1999 - 2002 University of Adelaide Australia Bachelor of Computer Science -
Research Interests
-
Journals
Year Citation 2022 Chapman, A., & Liu, L. (2022). Regularizing Neural Network Training via Identity-wise Discriminative
Feature Suppression.
Connect With Me
External Profiles
