Caner Hazirbas

40 papers A* 9B 1Misc 1Journal 21Unranked 7
YearRankTypeTitle / Venue / Authors
2024 B conf
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis.
FG
Maxim Maximov, Tim Meinhardt, Zoe Papakipos, Caner Hazirbas, Cristian Canton, Laura Leal-Taixé
2024 J jnl
The Bias of Harmful Label Associations in Vision-Language Models.
CoRR
Caner Hazirbas, Alicia Sun, Yonathan Efroni, Mark Ibrahim
2024 A* conf
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling.
NeurIPS
Haider Al-Tahan, Quentin Garrido, Randall Balestriero, Diane Bouchacourt, Caner Hazirbas, Mark Ibrahim
2024 J jnl
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling.
CoRR
Haider Al-Tahan, Quentin Garrido, Randall Balestriero, Diane Bouchacourt, Caner Hazirbas, Mark Ibrahim
2023 A* conf
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others.
CVPR
Zhiheng Li, Ivan Evtimov, Albert Gordo, Caner Hazirbas, Tal Hassner, Cristian Canton-Ferrer, Chenliang Xu, Mark Ibrahim
2023 J jnl
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis.
CoRR
Maxim Maximov, Tim Meinhardt, Ismail Elezi, Zoe Papakipos, Caner Hazirbas, Cristian Canton-Ferrer, Laura Leal-Taixé
2023 A* conf
Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations.
NeurIPS
Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim
2023 A* conf
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations.
ICLR
Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
2023 J jnl
Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies.
CoRR
Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim
2023 — conf
The Casual Conversations v2 Dataset : A diverse, large benchmark for measuring fairness and robustness in audio/vision/speech models.
CVPR Workshops
Bilal Porgali, Vítor Albiero, Jordan Ryda, Cristian Canton-Ferrer, Caner Hazirbas
2023 J jnl
The Casual Conversations v2 Dataset.
CoRR
Bilal Porgali, Vítor Albiero, Jordan Ryda, Cristian Canton-Ferrer, Caner Hazirbas
2023 A* conf
VPA: Fully Test-Time Visual Prompt Adaptation.
ACM Multimedia
Jiachen Sun, Mark Ibrahim, Melissa Hall, Ivan Evtimov, Z. Morley Mao, Cristian Canton-Ferrer, Caner Hazirbas
2023 J jnl
VPA: Fully Test-Time Visual Prompt Adaptation.
CoRR
Jiachen Sun, Mark Ibrahim, Melissa Hall, Ivan Evtimov, Z. Morley Mao, Cristian Canton-Ferrer, Caner Hazirbas
2022 J jnl
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others.
CoRR
Zhiheng Li, Ivan Evtimov, Albert Gordo, Caner Hazirbas, Tal Hassner, Cristian Canton-Ferrer, Chenliang Xu, Mark Ibrahim
2022 J jnl
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness.
CoRR
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
2022 — conf
Fairness Indicators for Systematic Assessments of Visual Feature Extractors.
FAccT
Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier
2022 J jnl
Fairness Indicators for Systematic Assessments of Visual Feature Extractors.
CoRR
Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier
2022 A* conf
Generating High Fidelity Data from Low-density Regions using Diffusion Models.
CVPR
Vikash Sehwag, Caner Hazirbas, Albert Gordo, Firat Ozgenel, Cristian Canton-Ferrer
2022 J jnl
Generating High Fidelity Data from Low-density Regions using Diffusion Models.
CoRR
Vikash Sehwag, Caner Hazirbas, Albert Gordo, Firat Ozgenel, Cristian Canton-Ferrer
2022 J jnl
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations.
CoRR
Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
2022 J jnl
Towards Measuring Fairness in AI: The Casual Conversations Dataset.
IEEE Trans. Biom. Behav. Identity Sci.
Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, Cristian Canton-Ferrer
2022 Misc conf
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions.
ICASSP
Chunxi Liu, Michael Picheny, Leda Sari, Pooja Chitkara, Alex Xiao, Xiaohui Zhang, Mark Chou, Andres Alvarado, Caner Hazirbas, Yatharth Saraf
2021 — conf
Casual Conversations: A Dataset for Measuring Fairness in AI.
CVPR Workshops
Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, Cristian Canton-Ferrer
2021 J jnl
Localized Uncertainty Attacks.
CoRR
Ousmane Amadou Dia, Theofanis Karaletsos, Caner Hazirbas, Cristian Canton-Ferrer, Ilknur Kaynar Kabul, Erik Meijer
2021 J jnl
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions.
CoRR
Chunxi Liu, Michael Picheny, Leda Sari, Pooja Chitkara, Alex Xiao, Xiaohui Zhang, Mark Chou, Andres Alvarado, Caner Hazirbas, Yatharth Saraf
2021 J jnl
Towards measuring fairness in AI: the Casual Conversations dataset.
CoRR
Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, Cristian Canton-Ferrer
2019 — —
Learning Geometry and Semantics for Deep Image Restoration.
Caner Hazirbas
2018 — conf
Deep Depth from Focus.
ACCV (3)
Caner Hazirbas, Sebastian Georg Soyer, Maximilian Christian Staab, Laura Leal-Taixé, Daniel Cremers
2018 J jnl
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
CoRR
Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2018 J jnl
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
Int. J. Comput. Vis.
Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2017 J jnl
Deep Depth From Focus.
CoRR
Caner Hazirbas, Laura Leal-Taixé, Daniel Cremers
2017 A* conf
Image-Based Localization Using LSTMs for Structured Feature Correlation.
ICCV
Florian Walch, Caner Hazirbas, Laura Leal-Taixé, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers
2017 A* conf
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems.
ICCV
Tim Meinhardt, Michael Möller, Caner Hazirbas, Daniel Cremers
2017 J jnl
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems.
CoRR
Tim Meinhardt, Michael Möller, Caner Hazirbas, Daniel Cremers
2016 — conf
FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture.
ACCV (1)
Caner Hazirbas, Lingni Ma, Csaba Domokos, Daniel Cremers
2016 J jnl
Image-based Localization with Spatial LSTMs.
CoRR
Florian Walch, Caner Hazirbas, Laura Leal-Taixé, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers
2015 A* conf
FlowNet: Learning Optical Flow with Convolutional Networks.
ICCV
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015 J jnl
FlowNet: Learning Optical Flow with Convolutional Networks.
CoRR
Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015 — conf
Interactive Multi-label Segmentation of RGB-D Images.
SSVM
Julia Diebold, Nikolaus Demmel, Caner Hazirbas, Michael Möller, Daniel Cremers
2015 — conf
Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation.
SSVM
Caner Hazirbas, Julia Diebold, Daniel Cremers