502 citations · 2.5k across the 78 of their papers we have counts for
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Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition
Mengyi Liu, Shiguang Shan, Ruiping Wang +1
Facial expression is temporally dynamic event which can be decomposed into a set of muscle motions occurring in different facial regions over various time intervals. For dynamic ex…
Learning Mid-level Words on Riemannian Manifold for Action Recognition
Mengyi Liu, Ruiping Wang, Shiguang Shan +1
Human action recognition remains a challenging task due to the various sources of video data and large intra-class variations. It thus becomes one of the key issues in recent resea…
Deep Trans-layer Unsupervised Networks for Representation Learning
Wentao Zhu, Jun Miao, Laiyun Qing +1
Learning features from massive unlabelled data is a vast prevalent topic for high-level tasks in many machine learning applications. The recent great improvements on benchmark data…
Cross-pose Face Recognition by Canonical Correlation Analysis
Annan Li, Shiguang Shan, Xilin Chen +3
The pose problem is one of the bottlenecks in automatic face recognition. We argue that one of the diffculties in this problem is the severe misalignment in face images or feature…