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Data Science Major, Dongduk Women鈥檚 University, Seoul, 02748, South Korea
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Embedding face and voice features into a convex hull can drastically reduce false associations, leading to unprecedented accuracy in cross-modal tasks.
Transforming low-quality facial images into high-resolution representations while enhancing re-identification accuracy could redefine standards in facial recognition technology.
Achieving unprecedented accuracy in 3D shape reconstruction, this method captures fine details even in the most challenging visual conditions.