Hello! 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.

Conference papers

• Maan Qraitem, Piotr Teterwak, Kate Saenko, Bryan A. Plummer. SLANT: Spurious Logo ANalysis Toolkit. In Submission . [PDF]
• Maan Qraitem, Nazia Tasnim, Piotr Teterwak, Kate Saenko, Bryan A. Plummer. Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks. In Submission . [PDF] [Code]
• Maan Qraitem, Kate Saenko, Bryan A. Plummer. From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition. ECCV 2024. (oral) [PDF] [Code]
• Maan Qraitem, Kate Saenko, Bryan A. Plummer. Bias Mimicking: A Simple Sampling Approach for Bias Mitigation. CVPR 2023. [PDF] [Code]

Journal papers

• Maan Qraitem, Dhanushka Kularatne, Eric Forgoston, M. Ani Hsieh. Bridging the gap: Machine learning to resolve improperly modeled dynamics. Physica D: Nonlinear Phenomena 2020. [PDF]
• Sujeewa S Lellupitiyage Don, Hui-Hsien Lin, Jessica J Furtado, Maan Qraitem, Stephanie R Taylor, Michelle E Farkas. Circadian oscillations persist in low malignancy breast cancer cells. Cell Cycle 2019. [PDF]

Workshop papers

• Eunice Yiu, Maan Qraitem, Charlie Wong, Anisa Noor Majhi, Yutong Bai, Shiry Ginosar, Alison Gopnik, Kate Saenko. KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models . NeurIPS 2024 Workshop on Multimodal Algorithmic Reasoning . [PDF] [Code]
• Maan Qraitem, Nazia Tasnim, Piotr Teterwak, Kate Saenko, Bryan A. Plummer. Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks. NeurIPS 2024 Workshop on Multimodal Algorithmic Reasoning . [PDF] [Code]
• Maan Qraitem, Bryan A. Plummer. From Coarse to Fine-grained Concept based Discrimination for Phrase Detection. CVPR Workshop on Computer Vision in the Wild 2023. [PDF]