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Sicong Tian

2 accepted papers

2026

Goldilocks Test Sets for Face Verification

CVPR 2026

Reported face verification accuracy has reached a plateau on current well-known test sets. As a result, some difficult test sets have been assembled by reducing the image quality or adding artifacts to the image. However, we argue that test sets can be challenging without artificially reducing the i

Cited by 0SourcecodeScholar
2025

Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors

ICLR 2025poster

This paper studies how to synthesize face images of non-existent persons, to create a dataset that allows effective training of face recognition (FR) models. Besides generating realistic face images, two other important goals are: 1) the ability to generate a large number of distinct identities (int…

Cited by 4SourcePDFScholar