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Caner Hazirbas

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The Bias of Harmful Label Associations in Vision-Language Models

Feb 11, 2024
Caner Hazirbas, Alicia Sun, Yonathan Efroni, Mark Ibrahim

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VPA: Fully Test-Time Visual Prompt Adaptation

Sep 26, 2023
Jiachen Sun, Mark Ibrahim, Melissa Hall, Ivan Evtimov, Z. Morley Mao, Cristian Canton Ferrer, Caner Hazirbas

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Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis

Jun 22, 2023
Maxim Maximov, Tim Meinhardt, Ismail Elezi, Zoe Papakipos, Caner Hazirbas, Cristian Canton Ferrer, Laura Leal-Taixé

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Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies

Apr 11, 2023
Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim

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The Casual Conversations v2 Dataset

Mar 08, 2023
Bilal Porgali, Vítor Albiero, Jordan Ryda, Cristian Canton Ferrer, Caner Hazirbas

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A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others

Dec 09, 2022
Zhiheng Li, Ivan Evtimov, Albert Gordo, Caner Hazirbas, Tal Hassner, Cristian Canton Ferrer, Chenliang Xu, Mark Ibrahim

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Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness

Nov 10, 2022
Caner Hazirbas, Yejin Bang, Tiezheng Yu, Parisa Assar, Bilal Porgali, Vítor Albiero, Stefan Hermanek, Jacqueline Pan, Emily McReynolds, Miranda Bogen, Pascale Fung, Cristian Canton Ferrer

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ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations

Nov 03, 2022
Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim

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Generating High Fidelity Data from Low-density Regions using Diffusion Models

Mar 31, 2022
Vikash Sehwag, Caner Hazirbas, Albert Gordo, Firat Ozgenel, Cristian Canton Ferrer

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