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Yongbo Wu
Researcher at Sun Yat-sen University
Publications - 5
Citations - 48
Yongbo Wu is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Facial recognition system & Transfer of learning. The author has an hindex of 3, co-authored 5 publications receiving 25 citations.
Papers
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Journal ArticleDOI
Age Factor Removal Network Based on Transfer Learning and Adversarial Learning for Cross-Age Face Recognition
TL;DR: A novel framework called age factor removal network (AFRN) for cross-age face recognition is proposed, which combines the concepts of transfer learning and adversarial learning to enhance the performance of a pretrained face recognition network and suppress the influence of attributes, such as aging, expression, and pose variations.
Journal ArticleDOI
Cycle Age-Adversarial Model Based on Identity Preserving Network and Transfer Learning for Cross-Age Face Recognition
TL;DR: A Cycle Age-Adversarial Model (CAAM) is proposed for CAFR, which only uses the age labels for training without considering independence hypothesis, and introduces cycle optimization strategy to merge the advantages of two branch networks, which is a novel strategy to fuse multi-task features.
Journal ArticleDOI
Self-adaptive weighted synthesised local directional pattern integrating with sparse autoencoder for expression recognition based on improved multiple kernel learning strategy
TL;DR: A novel method for solving facial expression recognition (FER) tasks which uses a self-adaptive weighted synthesised local directional pattern (SW-SLDP) descriptor integrating sparse autoencoder (SA) features based on improved multiple kernel learning (IMKL) strategy is presented.
Journal ArticleDOI
Parallel Multi-Path Age Distinguish Network for Cross-Age Face Recognition
TL;DR: This model consists of two cascading networks, an Age Distinguish Mapping Network (ADMN) and a Cross-Age Feature Recombination Network (CFRN), which can avoid the simple linear combination of identity factor and age factor in the existing methods.
Patent
An expression recognition method of antagonism enhancement
TL;DR: In this article, an expression recognition method of antagonism enhancement was proposed, which consists of a feature encoder, a feature decoder, and an discriminator, and the discriminator discriminates the class of the new facial expression image and repeats the above steps to train the facial expression recognition network and the generated antagonism network alternately.