His main research concerns Artificial intelligence, Facial recognition system, Face, Computer vision and Pattern recognition. His Feature extraction, Convolutional neural network and Biometrics study in the realm of Artificial intelligence interacts with subjects such as Crowdsourcing and Spoofing attack. His study deals with a combination of Facial recognition system and Expression.
His study looks at the relationship between Face and topics such as Feature, which overlap with Support vector machine, User authentication, Database, Face Presentation and Texture. His work on Feature and Preprocessor as part of general Computer vision research is frequently linked to Sketch and Reflectivity, bridging the gap between disciplines. His Pattern recognition research is multidisciplinary, relying on both Artificial neural network, Object detection, Representation and Frame difference.
His primary areas of study are Artificial intelligence, Pattern recognition, Facial recognition system, Face and Computer vision. His study in Convolutional neural network, Feature extraction, Image, Feature and Robustness is done as part of Artificial intelligence. His work in Pattern recognition tackles topics such as Deep learning which are related to areas like Volume.
His Facial recognition system research includes elements of RGB color model, Speech recognition and Preprocessor. The study incorporates disciplines such as Representation and Feature learning in addition to Face. His study looks at the relationship between Computer vision and fields such as Identification, as well as how they intersect with chemical problems.
His primary scientific interests are in Artificial intelligence, Pattern recognition, Face, Image and Computer vision. His study on Feature, Facial recognition system and Segmentation is often connected to SIGNAL as part of broader study in Artificial intelligence. His work carried out in the field of Facial recognition system brings together such families of science as Discriminative model and Training set.
His research integrates issues of Region of interest, Deep learning, Robustness and Anticipation in his study of Pattern recognition. Face is closely attributed to Communication channel in his research. His study focuses on the intersection of Computer vision and fields such as Identification with connections in the field of Perspective, Biometrics and DICOM.
His scientific interests lie mostly in Artificial intelligence, Face, Pattern recognition, Computer vision and Image. Hu Han performs multidisciplinary study in Artificial intelligence and Multi-task learning in his work. His Face research is multidisciplinary, incorporating perspectives in Pixel, Identification and Code.
His research links Facial recognition system with Pattern recognition. Hu Han interconnects End-to-end principle and Representation in the investigation of issues within Computer vision. His studies in Image integrate themes in fields like Segmentation, Landmark, Divergence and Convolutional neural network.
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Face Spoof Detection With Image Distortion Analysis
Di Wen;Hu Han;Anil K. Jain.
IEEE Transactions on Information Forensics and Security (2015)
Demographic Estimation from Face Images: Human vs. Machine Performance
Hu Han;Charles Otto;Xiaoming Liu;Anil K. Jain.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2015)
Age estimation from face images: Human vs. machine performance
Hu Han;Charles Otto;Anil K. Jain.
international conference on biometrics (2013)
Secure Face Unlock: Spoof Detection on Smartphones
Keyurkumar Patel;Hu Han;Anil K. Jain.
IEEE Transactions on Information Forensics and Security (2016)
Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection
Lacey Best-Rowden;Hu Han;Charles Otto;Brendan F. Klare.
IEEE Transactions on Information Forensics and Security (2014)
Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach
Hu Han;Anil K. Jain;Fang Wang;Shiguang Shan.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2018)
A comparative study on illumination preprocessing in face recognition
Hu Han;Shiguang Shan;Xilin Chen;Wen Gao.
Pattern Recognition (2013)
Matching Composite Sketches to Face Photos: A Component-Based Approach
Hu Han;B. F. Klare;K. Bonnen;A. K. Jain.
IEEE Transactions on Information Forensics and Security (2013)
Cross-Database Face Antispoofing with Robust Feature Representation
Keyurkumar Patel;Hu Han;Anil K. Jain.
chinese conference on biometric recognition (2016)
Mean-Variance Loss for Deep Age Estimation from a Face
Hongyu Pan;Hu Han;Shiguang Shan;Xilin Chen.
computer vision and pattern recognition (2018)
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