29 citations · 86 across the 9 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CV2017★ 11 cited
Adversarial Discriminative Heterogeneous Face Recognition
Lingxiao Song, Man Zhang, Xiang Wu +1
The gap between sensing patterns of different face modalities remains a challenging problem in heterogeneous face recognition (HFR). This paper proposes an adversarial discriminati…
cs.CV2017★ 10 cited
Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification
Yi Li, Lingxiao Song, Xiang Wu +2
Makeup is widely used to improve facial attractiveness and is well accepted by the public. However, different makeup styles will result in significant facial appearance changes. It…
cs.CV2017★ 29 cited
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition
Ran He, Xiang Wu, Zhenan Sun +1
Heterogeneous face recognition (HFR) aims to match facial images acquired from different sensing modalities with mission-critical applications in forensics, security and commercial…