I am a Postdoctoral Research Scientist at Torr Vision Group at University of Oxford and a Junior Research Fellow and Lady Margaret Hall. The focus to my research is to develop smart descriptor for machine learning applications in computer vision.
My research interests include:
- Invariant/covariant descriptor design in machine learning
- Continual Learning
- Malicious user detection in social networks
- Network compression for hand-held devices
I have conducted “Game Programming with C++” and “Artificial Intelligence and Machine Learning with Python” course-work modules at department of Engineering. I have also conducted summer school on “Artificial Intelligence and Machine Learning” at Lady Margaret Hall.
Arslan Chaudary, Naeemullah Khan, Puneet K. Dokania, Philip H. S. Torr, “Continual Learning in Low-rank Orthogonal Subspaces” Neurips 2020
Naeemullah Khan, Ganesh Sundaramoorthi, “Learned Shape-Tailored Descriptors for Segmentation" CVPR 2018.
Naeemullah Khan, Byung-Woo Hong, Anthony Yezzi, Ganesh Sundaramoorthi, “Coarse-to-Fine Segmentation with Shape-Tailored Scale Spaces" CVPR 2017.
Naeemullah Khan, Marei Algarni, Anthony Yezzi, Ganesh Sundaramoorthi, “Shape-Tailored Local Descriptors and their Application to Segmentation and Tracking” CVPR 2015.