2019 - ACM Fellow For contributions to face and sign language recognition and multimedia systems
2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to image modeling and object recognition
2016 - IEEE Fellow For contributions to machine vision for facial image analysis and sign language recognition
Xilin Chen mainly investigates Artificial intelligence, Pattern recognition, Facial recognition system, Computer vision and Face. As part of his studies on Artificial intelligence, Xilin Chen often connects relevant areas like Machine learning. His Pattern recognition study combines topics from a wide range of disciplines, such as Contextual image classification, Feature, Rayleigh quotient and Sample.
In general Facial recognition system, his work in Face detection is often linked to Gabor wavelet linking many areas of study. His study in Computer vision is interdisciplinary in nature, drawing from both Encoding and Pattern recognition. His studies deal with areas such as Similarity, Text mining, Data mining, Database and Pose as well as Face.
Xilin Chen spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Facial recognition system and Face. His research links Machine learning with Artificial intelligence. His studies in Pattern recognition integrate themes in fields like Contextual image classification, Object detection, Histogram and Robustness.
Computer vision is closely attributed to Representation in his research. The concepts of his Facial recognition system study are interwoven with issues in Classifier, Subspace topology, Facial expression and Training set. Xilin Chen integrates several fields in his works, including Face, Generalization and Focus.
Xilin Chen mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Face and Discriminative model. While the research belongs to areas of Artificial intelligence, Xilin Chen spends his time largely on the problem of Machine learning, intersecting his research to questions surrounding Class. His work in Pattern recognition covers topics such as Binary code which are related to areas like Image retrieval.
In Computer vision, Xilin Chen works on issues like Relation, which are connected to Representation. His Face research is multidisciplinary, incorporating perspectives in End-to-end principle and Image. The Discriminative model study combines topics in areas such as Feature and Deep learning.
The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Face and Feature extraction. His Feature, Discriminative model, Facial recognition system and Convolutional neural network study in the realm of Artificial intelligence connects with subjects such as Task analysis. Within one scientific family, he focuses on topics pertaining to Feature learning under Facial recognition system, and may sometimes address concerns connected to Gesture and Autoencoder.
His Pattern recognition course of study focuses on Encoder and Language model and Transformer. His Computer vision research incorporates elements of Identification and Code. Xilin Chen has included themes like Normalization, Scene graph and Image retrieval in his Feature extraction study.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition
Wenchao Zhang;Shiguang Shan;Wen Gao;Xilin Chen.
international conference on computer vision (2005)
The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations
Wen Gao;Bo Cao;Shiguang Shan;Xilin Chen.
systems man and cybernetics (2008)
WLD: A Robust Local Image Descriptor
Jie Chen;Shiguang Shan;Chu He;Guoying Zhao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)
Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition
Baochang Zhang;Shiguang Shan;Xilin Chen;Wen Gao.
IEEE Transactions on Image Processing (2007)
Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment
Jie Zhang;Shiguang Shan;Meina Kan;Xilin Chen.
european conference on computer vision (2014)
Deep Supervised Hashing for Fast Image Retrieval
Haomiao Liu;Ruiping Wang;Shiguang Shan;Xilin Chen.
computer vision and pattern recognition (2016)
Multi-View Discriminant Analysis
Meina Kan;Shiguang Shan;Haihong Zhang;Shihong Lao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016)
Manifold-Manifold Distance with application to face recognition based on image set
Ruiping Wang;Shiguang Shan;Xilin Chen;Wen Gao.
computer vision and pattern recognition (2008)
Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition
Shufu Xie;Shiguang Shan;Xilin Chen;Jie Chen.
IEEE Transactions on Image Processing (2010)
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
Yu Su;Shiguang Shan;Xilin Chen;Wen Gao.
IEEE Transactions on Image Processing (2009)
Profile was last updated on December 6th, 2021.
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