Real-Time Physics-Based Removal of Shadows and Shading From Road Surfaces. - Bruce A. Maxwell; Casey A. Smith; Maan Qraitem; Spencer Whitt; Ross Messing; Nicholas Thien; Richard M. Friedhoff (CVPR Workshops, 2019)

Bridging the Gap: Machine Learning to Resolve Improperly Modeled Dynamics. - Maan Qraitem; Dhanushka Kularatne; Eric Forgoston; M. Ani Hsieh (CoRR, 2020)

Learning to Reason from General Concepts to Fine-grained Tokens for Discriminative Phrase Detection. - Maan Qraitem; Bryan A. Plummer (CoRR, 2021)

Bias Mimicking: A Simple Sampling Approach for Bias Mitigation. - Maan Qraitem; Kate Saenko; Bryan A. Plummer (CVPR, 2023)

From Fake to Real (FFR): A two-stage training pipeline for mitigating spurious correlations with synthetic data. - Maan Qraitem; Kate Saenko; Bryan A. Plummer (CoRR, 2023)

From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition. - Maan Qraitem; Kate Saenko; Bryan A. Plummer (ECCV (58), 2024)

Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks. - Maan Qraitem; Nazia Tasnim; Piotr Teterwak; Kate Saenko; Bryan A. Plummer (CoRR, 2024)

SLANT: Spurious Logo ANalysis Toolkit. - Maan Qraitem; Piotr Teterwak; Kate Saenko; Bryan A. Plummer (CoRR, 2024)

KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models. - Eunice Yiu; Maan Qraitem; Anisa Noor Majhi; Charlie Wong; Yutong Bai; Shiry Ginosar; Alison Gopnik; Kate Saenko (ICLR, 2025)

Web Artifact Attacks Disrupt Vision Language Models. - Maan Qraitem; Piotr Teterwak; Kate Saenko; Bryan A. Plummer (CoRR, 2025)