Maan Qraitem

Email: mqraitem at bu dot edu

CV . Google Scholar . Github

About Me

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.

Publications

  • SLANT: Spurious Logo ANalysis Toolkit

    Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer

    In Submission [arxiv] / [code: coming soon]

  • Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks

    Maan Qraitem, Nazia Tasnim, Piotr Teterwak, Kate Saenko, Bryan A. Plummer

    In Submission [arxiv] / [code]

  • From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Bias

    Maan Qraitem, Kate Saenko, Bryan A. Plummer

    ECCV 2024 [arxiv] / [code]

  • Bias Mimicking: A Simple Sampling Approach for Bias Mitigation

    Maan Qraitem, Kate Saenko, Bryan A. Plummer

    CVPR 2023 [arxiv] / [code]

  • 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]

Teaching

  • CS 542 Machine Learning [Spring 2022, Boston University]
  • CS 542 Machine Learning [Spring 2021, Boston University]
  • CS 108 Introduction to Applications Programming [Fall 2020, Boston University]