activity
20172019
most citedMeshGAN: Non-linear 3D Morphable Models of Faces

47 citations · 54 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CV20191 cited

Towards Pose-invariant Lip-Reading

Shiyang Cheng, Pingchuan Ma, Georgios Tzimiropoulos +4

Lip-reading models have been significantly improved recently thanks to powerful deep learning architectures. However, most works focused on frontal or near frontal views of the mou…

cs.CV2019

Shape Constrained Network for Eye Segmentation in the Wild

Bingnan Luo, Jie Shen, Shiyang Cheng +2

Semantic segmentation of eyes has long been a vital pre-processing step in many biometric applications. Majority of the works focus only on high resolution eye images, while little…

cs.CV2019

Dynamic Face Video Segmentation via Reinforcement Learning

Yujiang Wang, Mingzhi Dong, Jie Shen +3

For real-time semantic video segmentation, most recent works utilised a dynamic framework with a key scheduler to make online key/non-key decisions. Some works used a fixed key sch…

cs.CV201947 cited

MeshGAN: Non-linear 3D Morphable Models of Faces

Shiyang Cheng, Michael Bronstein, Yuxiang Zhou +3

Generative Adversarial Networks (GANs) are currently the method of choice for generating visual data. Certain GAN architectures and training methods have demonstrated exceptional p…

cs.GR2018

Multilevel active registration for kinect human body scans: from low quality to high quality

Zongyi Xu, Qianni Zhang, Shiyang Cheng

Registration of 3D human body has been a challenging research topic for over decades. Most of the traditional human body registration methods require manual assistance, or other au…

cs.GR2018

Photorealistic Facial Synthesis in the Dimensional Affect Space

Dimitrios Kollias, Shiyang Cheng, Maja Pantic +1

This paper presents a novel approach for synthesizing facial affect, which is based on our annotating 600,000 frames of the 4DFAB database in terms of valence and arousal. The inpu…