2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to biometrics, face recognition, and applications
Ran He mainly investigates Artificial intelligence, Facial recognition system, Pattern recognition, Face and Computer vision. His Artificial intelligence study combines topics from a wide range of disciplines, such as Iterative method and Machine learning. His Facial recognition system research is multidisciplinary, incorporating elements of Representation, Contextual image classification, Linear discriminant analysis, Convolutional neural network and Pattern recognition.
His study in Pattern recognition is interdisciplinary in nature, drawing from both Subspace topology and Robustness. Ran He interconnects Feature, Feature learning, Wavelet transform and Image texture in the investigation of issues within Face. His work in the fields of Face detection and Three-dimensional face recognition overlaps with other areas such as Euclidean space.
His primary areas of investigation include Artificial intelligence, Pattern recognition, Facial recognition system, Face and Computer vision. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Machine learning. His research in Pattern recognition intersects with topics in Subspace topology, Cluster analysis, Feature and Robustness.
His Robustness research incorporates themes from Optimization problem and Outlier. His Facial recognition system research incorporates elements of Embedding, Convolutional neural network, Feature vector and Pattern recognition. His study in the field of Face detection is also linked to topics like Identity.
Ran He focuses on Artificial intelligence, Pattern recognition, Face, Computer vision and Image. The study of Artificial intelligence is intertwined with the study of Machine learning in a number of ways. His studies in Pattern recognition integrate themes in fields like Generator and Autoencoder.
As a part of the same scientific study, he usually deals with the Face, concentrating on Structure and frequently concerns with DUAL. His work on Image warping, Rendering and Monocular as part of general Computer vision study is frequently linked to Synchronization, therefore connecting diverse disciplines of science. His work in Facial recognition system tackles topics such as Embedding which are related to areas like Matching.
Ran He mostly deals with Artificial intelligence, Computer vision, Face, Deep learning and Facial recognition system. His work deals with themes such as Machine learning and Pattern recognition, which intersect with Artificial intelligence. His work on Training set and Segmentation is typically connected to Distribution and Age estimation as part of general Pattern recognition study, connecting several disciplines of science.
He combines subjects such as Predicate and Transformer with his study of Computer vision. His Face study integrates concerns from other disciplines, such as Structure, Speech recognition and Computation. His Facial recognition system research is multidisciplinary, incorporating perspectives in Network architecture, Contextual image classification, Kernel and Kernel.
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A Light CNN for Deep Face Representation With Noisy Labels
Xiang Wu;Ran He;Zhenan Sun;Tieniu Tan.
IEEE Transactions on Information Forensics and Security (2018)
Maximum Correntropy Criterion for Robust Face Recognition
Ran He;Wei-Shi Zheng;Bao-Gang Hu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)
Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis
Rui Huang;Shu Zhang;Tianyu Li;Ran He.
international conference on computer vision (2017)
Robust Principal Component Analysis Based on Maximum Correntropy Criterion
Ran He;Bao-Gang Hu;Wei-Shi Zheng;Xiang-Wei Kong.
IEEE Transactions on Image Processing (2011)
Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval
Kaiye Wang;Ran He;Liang Wang;Wei Wang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016)
Robust view transformation model for gait recognition
Shuai Zheng;Junge Zhang;Kaiqi Huang;Ran He.
international conference on image processing (2011)
Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution
Huaibo Huang;Ran He;Zhenan Sun;Tieniu Tan.
international conference on computer vision (2017)
Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation
Ran He;Wei-Shi Zheng;Tieniu Tan;Zhenan Sun.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2014)
Learning Coupled Feature Spaces for Cross-Modal Matching
Kaiye Wang;Ran He;Wei Wang;Liang Wang.
international conference on computer vision (2013)
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition
Ran He;Xiang Wu;Zhenan Sun;Tieniu Tan.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019)
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