4 citations · 6 across the 10 of their papers we have counts for
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cs.CV2023
The Casual Conversations v2 Dataset
Bilal Porgali, Vítor Albiero, Jordan Ryda +2
This paper introduces a new large consent-driven dataset aimed at assisting in the evaluation of algorithmic bias and robustness of computer vision and audio speech models in regar…
cs.CV2022★ 4 cited
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness
Caner Hazirbas, Yejin Bang, Tiezheng Yu +9
Developing robust and fair AI systems require datasets with comprehensive set of labels that can help ensure the validity and legitimacy of relevant measurements. Recent efforts, t…
cs.CV2020
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
Vítor Albiero, Xingyu Chen, Xi Yin +2
We propose real-time, six degrees of freedom (6DoF), 3D face pose estimation without face detection or landmark localization. We observe that estimating the 6DoF rigid transformati…