ML Anthology

Hazirbas, Caner

11 publications

ICLRW 2024 The Bias of Harmful Label Associations in Vision-Language Models Caner Hazirbas, Alicia Yi Sun, Yonathan Efroni, Mark Ibrahim
NeurIPS 2024 UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling Haider Al-Tahan, Quentin Garrido, Randall Balestriero, Diane Bouchacourt, Caner Hazirbas, Mark Ibrahim
CVPR 2023 A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others Zhiheng Li, Ivan Evtimov, Albert Gordo, Caner Hazirbas, Tal Hassner, Cristian Canton Ferrer, Chenliang Xu, Mark Ibrahim
NeurIPS 2023 Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim
ICLR 2023 ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
CVPRW 2023 The Casual Conversations V2 Dataset : A Diverse, Large Benchmark for Measuring Fairness and Robustness in Audio/vision/speech Models Bilal Porgali, Vítor Albiero, Jordan Ryda, Cristian Canton-Ferrer, Caner Hazirbas
CVPR 2022 Generating High Fidelity Data from Low-Density Regions Using Diffusion Models Vikash Sehwag, Caner Hazirbas, Albert Gordo, Firat Ozgenel, Cristian Canton
CVPRW 2021 Casual Conversations: A Dataset for Measuring Fairness in AI Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, Cristian Canton-Ferrer
ICCV 2017 Image-Based Localization Using LSTMs for Structured Feature Correlation Florian Walch, Caner Hazirbas, Laura Leal-Taixe, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers
ICCV 2017 Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems Tim Meinhardt, Michael Moller, Caner Hazirbas, Daniel Cremers
ICCV 2015 FlowNet: Learning Optical Flow with Convolutional Networks Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox