2021 - IEEE Fellow For contributions to face and fingerprint image recognition
Xudong Jiang mainly focuses on Artificial intelligence, Pattern recognition, Feature extraction, Computer vision and Discriminative model. His study in Artificial intelligence focuses on Fingerprint, Minutiae, Segmentation, Pattern recognition and Biometrics. His Fingerprint research incorporates elements of Fingerprint recognition, Data mining and Signal processing.
His Pattern recognition study combines topics in areas such as Feature, Pixel, Contextual image classification, Object and Facial recognition system. He interconnects Feature, Support vector machine and Dimensionality reduction in the investigation of issues within Feature extraction. He works mostly in the field of Discriminative model, limiting it down to concerns involving Local binary patterns and, occasionally, Code and Error detection and correction.
His primary areas of investigation include Artificial intelligence, Pattern recognition, Computer vision, Optoelectronics and Optics. Feature extraction, Facial recognition system, Pixel, Discriminative model and Face are the primary areas of interest in his Artificial intelligence study. Xudong Jiang has researched Feature extraction in several fields, including Feature, Biometrics, Linear discriminant analysis, Dimensionality reduction and Discriminant.
His Facial recognition system study incorporates themes from Subspace topology, Machine learning, Sparse approximation and Training set. His Pattern recognition study also includes
Xudong Jiang focuses on Artificial intelligence, Pattern recognition, Segmentation, Discriminative model and Deep learning. His research is interdisciplinary, bridging the disciplines of Computer vision and Artificial intelligence. Xudong Jiang combines subjects such as Leverage and Feature with his study of Pattern recognition.
Xudong Jiang has included themes like Pixel, Convolution and Pascal in his Segmentation study. The various areas that Xudong Jiang examines in his Discriminative model study include Time domain, Cognitive neuroscience of visual object recognition, Training set and Time–frequency analysis. His Deep learning research integrates issues from Genetic algorithm, Control reconfiguration and Silicon photonics.
His main research concerns Artificial intelligence, Pattern recognition, Segmentation, Discriminative model and Convolution. His research combines Computer vision and Artificial intelligence. His Pattern recognition study which covers Deep learning that intersects with Pixel.
His Segmentation study combines topics in areas such as Object, Pascal, Feature and Phrase. His studies deal with areas such as Feature extraction and Training set as well as Discriminative model. Xudong Jiang combines subjects such as Network architecture and Discriminator with his study of Convolution.
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Fingerprint minutiae matching based on the local and global structures
Xudong Jiang;Wei-Yun Yau.
international conference on pattern recognition (2000)
Eigenfeature Regularization and Extraction in Face Recognition
Xudong Jiang;B. Mandal;A. Kot.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)
Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation
Pew-Thian Yap;Xudong Jiang;Alex Chichung Kot.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)
Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation
Henghui Ding;Xudong Jiang;Bing Shuai;Ai Qun Liu.
computer vision and pattern recognition (2018)
Fingerprint quality and validity analysis
Eyung Lim;Xudong Jiang;Weiyun Yau.
international conference on image processing (2002)
LBP-Based Edge-Texture Features for Object Recognition
Amit Satpathy;Xudong Jiang;How-Lung Eng.
IEEE Transactions on Image Processing (2014)
Noise-Resistant Local Binary Pattern With an Embedded Error-Correction Mechanism
Jianfeng Ren;Xudong Jiang;Junsong Yuan.
IEEE Transactions on Image Processing (2013)
Face recognition using sift features
Cong Geng;Xudong Jiang.
international conference on image processing (2009)
Detecting the fingerprint minutiae by adaptive tracing the gray-level ridge
Xudong Jiang;Wei-Yun Yau;Wee Ser.
Pattern Recognition (2001)
Advances in InGaAsP-based avalanche diode single photon detectors
Mark A. Itzler;Xudong Jiang;Mark Entwistle;Krystyna Slomkowski.
Journal of Modern Optics (2011)
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