activity
20172026
most citedMeshGAN: Non-linear 3D Morphable Models of Faces

47 citations · 106 across the 13 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

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…

cs.CV2018

Deep Neural Network Augmentation: Generating Faces for Affect Analysis

Dimitrios Kollias, Shiyang Cheng, Evangelos Ververas +2

This paper presents a novel approach for synthesizing facial affect; either in terms of the six basic expressions (i.e., anger, disgust, fear, joy, sadness and surprise), or in ter…

cs.CV2018

MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild

Yiming Lin, Shiyang Cheng, Jie Shen +1

Face tracking serves as the crucial initial step in mobile applications trying to analyse target faces over time in mobile settings. However, this problem has received little atten…

cs.CV2018★ 1 cited

Side Information for Face Completion: a Robust PCA Approach

Niannan Xue, Jiankang Deng, Shiyang Cheng +2

Robust principal component analysis (RPCA) is a powerful method for learning low-rank feature representation of various visual data. However, for certain types as well as significa…