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Shiyang Cheng

6 accepted papers

2022

MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis

Athanasios Papaioannou, Baris Gecer, Shiyang Cheng, Grigorios G. Chrysos, Jiankang Deng, Eftychia Fotiadou +12
ECCV 2022poster

"Recently, Deep Neural Networks (DNNs) have been shown to outperform traditional methods in many disciplines such as computer vision, speech recognition and natural language processing. A prerequisite for the successful application of DNNs is the big number of data. Even though various facial datase…

Cited by 13Source ↗PDF ↗code ↗Scholar ↗
2022

Pre-training Strategies and Datasets for Facial Representation Learning

Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sanchez, Georgios Tzimiropoulos
ECCV 2022poster

"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 interest (e.g. face recognition, facial landmark localization etc.) but has overlooked the overarching question of how to…

Cited by 42Source ↗PDF ↗code ↗Scholar ↗
2020

Dynamic Face Video Segmentation via Reinforcement Learning

Yujiang Wang, Mingzhi Dong, Jie Shen, Yang Wu, Shiyang Cheng, Maja Pantic
CVPR 2020poster

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 scheduling policy, while others proposed adaptive key scheduling methods based on heuristic strategies, both of which may l…

Cited by 31PDF ↗Scholar ↗
2020

Towards Pose-Invariant Lip-Reading

Shiyang Cheng, Pingchuan Ma, Georgios Tzimiropoulos, Stavros Petridis, Adrian Bulat, Jie Shen +1
ICASSP 2020accepted

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 mouth. As a consequence, lip-reading performance seriously deteriorates in non-frontal mouth views. In this work, we presen…

Cited by 0Source ↗Scholar ↗
2018

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

Shiyang Cheng, Irene Kotsia, Maja Pantic, Stefanos Zafeiriou
CVPR 2018poster

The progress we are currently witnessing in many computer vision applications, including automatic face analysis, would not be made possible without tremendous efforts in collecting and annotating large scale visual databases. To this end, we propose 4DFAB, a new large scale database of dynamic high…

Cited by 137Source ↗PDF ↗Scholar ↗
2018

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

Jiankang Deng, Shiyang Cheng, Niannan Xue, Yuxiang Zhou, Stefanos Zafeiriou
CVPR 2018poster

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 new challenges as well as opportunities for facial texture analysis. In particular, by sampling the image using the fitt…

Cited by 271Source ↗PDF ↗code ↗Scholar ↗