16 citations · 69 across the 8 of their papers we have counts for
8 papers
Cross-spectral Face Completion for NIR-VIS Heterogeneous Face Recognition
Ran He, Jie Cao, Lingxiao Song +2
Near infrared-visible (NIR-VIS) heterogeneous face recognition refers to the process of matching NIR to VIS face images. Current heterogeneous methods try to extend VIS face recogn…
Geometry-Aware Face Completion and Editing
Linsen Song, Jie Cao, Linxiao Song +2
Face completion is a challenging generation task because it requires generating visually pleasing new pixels that are semantically consistent with the unmasked face region. This pa…
Variational Capsules for Image Analysis and Synthesis
Huaibo Huang, Lingxiao Song, Ran He +2
A capsule is a group of neurons whose activity vector models different properties of the same entity. This paper extends the capsule to a generative version, named variational caps…
Geometry Guided Adversarial Facial Expression Synthesis
Lingxiao Song, Zhihe Lu, Ran He +2
Facial expression synthesis has drawn much attention in the field of computer graphics and pattern recognition. It has been widely used in face animation and recognition. However,…
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…
Adversarial Occlusion-aware Face Detection
Yujia Chen, Lingxiao Song, Ran He
Occluded face detection is a challenging detection task due to the large appearance variations incurred by various real-world occlusions. This paper introduces an Adversarial Occlu…
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…
Coupled Deep Learning for Heterogeneous Face Recognition
Xiang Wu, Lingxiao Song, Ran He +1
Heterogeneous face matching is a challenge issue in face recognition due to large domain difference as well as insufficient pairwise images in different modalities during training.…