Orod Razeghi

 

razeghi
role Role: PhD Student
qualifications Qualifications: BSc
office Office: B46
telephone Telephone: +44 (0) 115 95 14299
email Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
homepage Homepage: http://cs.nott.ac.uk/~ozr

Research

My current research is on visual content understanding. My focus is on visual recognition with humans in the loop, an interactive, hybrid human-computer method for object classification.

Teaching & Supervision

Current Projects

  • Progressively Annotate Images by Incorporating Contextual Correlations between Concepts
  • A Hybrid Probabilistic Model for Unified Collaborative and Content-based Image Tagging
  • Human in the Loop and Image Classification

Esteem

  • Member of Intelligent Modelling and Analysis group
  • Member of the Visual Information Processing laboratory

Conference Papers
Author(s) Title Publisher Page Year
Orod Razeghi, Guoping Qiu, Hywel Williams, Kim Thomas Skin Lesion Image Recognition with Computer Vision and Human in the Loop Medical Image Understanding and Analysis (MIUA), Swansea, UK 167--172 2012

Book Chapters
Author(s) Title Publisher Page Year
Orod Razeghi, Guoping Qiu, Hywel Williams, Kim Thomas Computer Aided Skin Lesion Diagnosis with Humans in the Loop Machine Learning in Medical Imaging 266--274 2012

 

 

Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK.