I am a PhD student in the Image and Video Computing (IVC) Group at Boston University. I am fortunate to be advised by Professor Kate Saenko and Professor Bryan A. Plummer. I am broadly interested in deep representation learning that is robust against bias and spurious correlations. My hope is to improve the tools for both understanding and mitigating deep learning models' pitfalls.
Outside research, I enjoy road biking, cooking, and photography.
SLANT: Spurious Logo ANalysis Toolkit
Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer
In Submission [arxiv] / [code: coming soon]
From Coarse to Fine-grained Concept based Discrimination for Phrase Detection
Maan Qraitem, Bryan A. Plummer
CVPR Workshop on Computer Vision in the Wild 2023 [arxiv]
Bridging the gap: Machine learning to resolve improperly modeled dynamics
Maan Qraitem, Dhanushka Kularatne, Eric Forgoston, M. Ani Hsieh
Physica D: Nonlinear Phenomena [arxiv]
Real-Time Physics-Based Removal of Shadows and Shading From Road Surfaces
Bruce A. Maxwell, Casey A. Smith, Maan Qraitem, Ross Messing, Spencer Whitt, Nicolas Thien, Richard M. Friedhoff
CVPR Workshop on Autonomous Driving 2019 [PDF]
Circadian oscillations persist in low malignancy breast cancer cells
Sujeewa S Lellupitiyage Don, Hui-Hsien Lin, Jessica J Furtado, Maan Qraitem, Stephanie R Taylor, Michelle E Farkas
Cell Cycle [PDF]