activity
20152018
most citedWasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition

29 citations · 72 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2018

Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization

Hongwen Zhang, Qi Li, Zhenan Sun

3D face shape is more expressive and viewpoint-consistent than its 2D counterpart. However, 3D facial landmark localization in a single image is challenging due to the ambiguous na…

cs.CV201814 cited

Global and Local Consistent Age Generative Adversarial Networks

Peipei Li, Yibo Hu, Qi Li +2

Age progression/regression is a challenging task due to the complicated and non-linear transformation in human aging process. Many researches have shown that both global and local…

cs.CV201716 cited

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,…

cs.CV201729 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…

cs.CV201712 cited

Recent Progress of Face Image Synthesis

Zhihe Lu, Zhihang Li, Jie Cao +2

Face synthesis has been a fascinating yet challenging problem in computer vision and machine learning. Its main research effort is to design algorithms to generate photo-realistic…

cs.CV2017

Deep Supervised Discrete Hashing

Qi Li, Zhenan Sun, Ran He +1

With the rapid growth of image and video data on the web, hashing has been extensively studied for image or video search in recent years. Benefit from recent advances in deep learn…