313 citations · 1k across the 44 of their papers we have counts for
4 papers · 1 filter
The Devil of Face Recognition is in the Noise
Fei Wang, Liren Chen, Cheng Li +4
The growing scale of face recognition datasets empowers us to train strong convolutional networks for face recognition. While a variety of architectures and loss functions have bee…
ReenactGAN: Learning to Reenact Faces via Boundary Transfer
Wayne Wu, Yunxuan Zhang, Cheng Li +2
We present a novel learning-based framework for face reenactment. The proposed method, known as ReenactGAN, is capable of transferring facial movements and expressions from monocul…
Look at Boundary: A Boundary-Aware Face Alignment Algorithm
Wayne Wu, Chen Qian, Shuo Yang +3
We present a novel boundary-aware face alignment algorithm by utilising boundary lines as the geometric structure of a human face to help facial landmark localisation. Unlike the c…
DRPose3D: Depth Ranking in 3D Human Pose Estimation
Min Wang, Xipeng Chen, Wentao Liu +3
In this paper, we propose a two-stage depth ranking based method (DRPose3D) to tackle the problem of 3D human pose estimation. Instead of accurate 3D positions, the depth ranking c…