Rodrigo de Bem
Scholar

Rodrigo de Bem

Google Scholar ID: LqsiZNoAAAAJ
Department of Engineering Science, University of Oxford
Computer VisionDeep LearningMachine Learning
Citations & Impact
All-time
Citations
556
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
26
list available
Resume
Academic Achievements
  • Paper accepted to WACV 2019; Best paper runner-up at ACML 2018; Travel bursary awarded by BMVA; Published several papers such as 'A Conditional Deep Generative Model of People in Natural Images' and 'A Semi-supervised Deep Generative Model for Human Body Analysis'.
Research Experience
  • Conducting research at the TVG group (part of the Engineering Department at the University of Oxford); involved in multiple research projects, including papers presented at WACV 2019 and ECCV 2018.
Education
  • DPhil, Engineering Science, University of Oxford, supervised by Prof. Philip Torr; Assistant Professor, Center of Computational Sciences, Federal University of Rio Grande
Background
  • Pursuing DPhil in Engineering Science at the University of Oxford, with main interests in computer vision and machine learning, specifically visual analysis of people using deep learning algorithms. Also an assistant professor (currently on leave for qualification) at the Center of Computational Sciences of the Federal University of Rio Grande, part of the NAUTEC group.
Miscellany
  • Close collaborators include Adnane Boukhayma, Arnab Ghosh, Thalaiyasingam Ajanthan, and others.