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

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

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12 papers · 1 filter

cs.CV2025

Seamless Interaction: Dyadic Audiovisual Motion Modeling and Large-Scale Dataset

Vasu Agrawal, Akinniyi Akinyemi, Kathryn Alvero +81

Human communication involves a complex interplay of verbal and nonverbal signals, essential for conveying meaning and achieving interpersonal goals. To develop socially intelligent…

cs.CV2021

Pre-training strategies and datasets for facial representation learning

Adrian Bulat, Shiyang Cheng, Jing Yang +3

What is the best way to learn a universal face representation? Recent work on Deep Learning in the area of face analysis has focused on supervised learning for specific tasks of in…

cs.CV2019★ 1 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★ 18 cited

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.CV2019★ 47 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.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…

cs.CV2017★ 5 cited

UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition

Jiankang Deng, Shiyang Cheng, Niannan Xue +2

Recently proposed robust 3D face alignment methods establish either dense or sparse correspondence between a 3D face model and a 2D facial image. The use of these methods presents…

cs.CV2017★ 13 cited

4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications

Shiyang Cheng, Irene Kotsia, Maja Pantic +1

The progress we are currently witnessing in many computer vision applications, including automatic face analysis, would not be made possible without tremendous efforts in collectin…

cs.CV2017★ 21 cited

An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations

Mengjiao Wang, Zhixin Shu, Shiyang Cheng +3

Several factors contribute to the appearance of an object in a visual scene, including pose, illumination, and deformation, among others. Each factor accounts for a source of varia…