Mahmood, Rafid

9 publications

CVPR 2025 Can Large Vision-Language Models Correct Semantic Grounding Errors by Themselves? Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna

JMLR 2025 Optimizing Data Collection for Machine Learning Rafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc T. Law

NeurIPS 2024 Pricing and Competition for Generative AI Rafid Mahmood

ICLR 2024 Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Uday Prabhu, Sanja Fidler

TMLR 2023 Bridging the Sim2Real Gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting Viraj Uday Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas

CVPR 2022 How Much More Data Do I Need? Estimating Requirements for Downstream Tasks Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law

ICLR 2022 Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach Rafid Mahmood, Sanja Fidler, Marc T Law

NeurIPS 2022 Optimizing Data Collection for Machine Learning Rafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc Law

MLHC 2018 Automated Treatment Planning in Radiation Therapy Using Generative Adversarial Networks Rafid Mahmood, Aaron Babier, Andrea McNiven, Adam Diamant, Timothy C. Y. Chan