Caner Hazırbaş

Computer Science · Physical Sciences

14h-index6.6kcitations37works0.32yr avg
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Research Topics

Advanced Vision and Imaging(6), Advanced Image and Video Retrieval Techniques(6), Ethics and Social Impacts of AI(6), Advanced Neural Network Applications(5), Robotics and Sensor-Based Localization(5)

Publications37 total

UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
arXiv (Cornell University)·2024Open Access
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis
2024· 1 cited
The Bias of Harmful Label Associations in Vision-Language Models
arXiv (Cornell University)·2024Open Access
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
2024
VPA: Fully Test-Time Visual Prompt Adaptation
2023· 6 cited
VPA: Fully Test-Time Visual Prompt Adaptation
arXiv (Cornell University)·2023Open Access
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis
arXiv (Cornell University)·2023Open Access
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
2023· 22 cited
The Casual Conversations v2 Dataset : A diverse, large benchmark for measuring fairness and robustness in audio/vision/speech models
2023· 7 cited
Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies
arXiv (Cornell University)·2023· 2 citedOpen Access
The Casual Conversations v2 Dataset
arXiv (Cornell University)·2023Open Access
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
arXiv (Cornell University)·2022· 2 citedOpen Access
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness
arXiv (Cornell University)·2022· 4 citedOpen Access
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
arXiv (Cornell University)·2022· 11 citedOpen Access
Fairness Indicators for Systematic Assessments of Visual Feature Extractors
2022 ACM Conference on Fairness, Accountability, and Transparency·2022· 15 cited
Generating High Fidelity Data from Low-density Regions using Diffusion Models
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 36 cited
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)·2022· 18 cited
Generating High Fidelity Data from Low-density Regions using Diffusion Models
arXiv (Cornell University)·2022· 1 citedOpen Access
Fairness Indicators for Systematic Assessments of Visual Feature Extractors
arXiv (Cornell University)·2022Open Access
Towards Measuring Fairness in AI: The Casual Conversations Dataset
IEEE Transactions on Biometrics Behavior and Identity Science·2021· 66 cited
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Frequent Co-authors

Daniel Cremers(11), Cristian Canton Ferrer(11), Mark Ibrahim(9), Albert Gordo(7), Laura Leal-Taixé(6), Ivan Evtimov(5), Jacqueline Pan(4), Diane Bouchacourt(4), Alexey Dosovitskiy(3), Philipp Fischer(3), Eddy Ilg(3), Thomas Brox(3), Florian Walch(3), Torsten Sattler(3), Sebastian Hilsenbeck(3), Joanna Bitton(3), Brian Dolhansky(3), Chunxi Liu(3), Michael Picheny(3), Leda Sarı(3)