2023 - Research.com Computer Science in Singapore Leader Award
2022 - Research.com Computer Science in Singapore Leader Award
2020 - ACM Fellow For contributions to visual content understanding techniques and applications
2016 - ACM Distinguished Member
2014 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision and pattern recognition
Shuicheng Yan mostly deals with Artificial intelligence, Pattern recognition, Feature extraction, Computer vision and Machine learning. His study in Object detection, Convolutional neural network, Facial recognition system, Discriminative model and Image segmentation falls within the category of Artificial intelligence. His study in Pattern recognition is interdisciplinary in nature, drawing from both Contextual image classification and Subspace topology.
His research in Feature extraction intersects with topics in Image processing, Histogram, Visualization, Iterative reconstruction and Robustness. His Computer vision study integrates concerns from other disciplines, such as Representation and Benchmark. His work on Feature as part of general Machine learning study is frequently linked to Context model, therefore connecting diverse disciplines of science.
Shuicheng Yan focuses on Artificial intelligence, Pattern recognition, Computer vision, Machine learning and Feature extraction. All of his Artificial intelligence and Discriminative model, Facial recognition system, Contextual image classification, Image and Face investigations are sub-components of the entire Artificial intelligence study. His studies in Pattern recognition integrate themes in fields like Subspace topology, Feature and Object detection.
His Subspace topology research is multidisciplinary, incorporating perspectives in Linear subspace and Robustness. His Computer vision study frequently links to adjacent areas such as Representation. His work carried out in the field of Machine learning brings together such families of science as Parsing and Benchmark.
His primary areas of study are Artificial intelligence, Pattern recognition, Computer vision, Image and Feature extraction. His Artificial intelligence research focuses on Machine learning and how it connects with Facial recognition system. The study incorporates disciplines such as Feature, Object detection, Representation, Manifold and Robustness in addition to Pattern recognition.
He has included themes like Basis and The Internet in his Computer vision study. His Image study deals with Generative grammar intersecting with Theoretical computer science. While the research belongs to areas of Feature extraction, Shuicheng Yan spends his time largely on the problem of Artificial neural network, intersecting his research to questions surrounding Deep learning.
Shuicheng Yan spends much of his time researching Artificial intelligence, Pattern recognition, Feature extraction, Computer vision and Image. His is doing research in Segmentation, Pose, Deep learning, Artificial neural network and Convolutional neural network, both of which are found in Artificial intelligence. His biological study focuses on Discriminative model.
He has researched Feature extraction in several fields, including Feature, Pipeline, Representation, Landmark and Key. His study on Face, Facial recognition system, Three-dimensional face recognition and Active appearance model is often connected to Streak as part of broader study in Computer vision. Shuicheng Yan interconnects Visualization, Convolution, Translation and Injective function in the investigation of issues within Image.
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Network In Network
Min Lin;Qiang Chen;Shuicheng Yan.
international conference on learning representations (2014)
Face recognition using Laplacianfaces
Xiaofei He;Shuicheng Yan;Yuxiao Hu;P. Niyogi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
Shuicheng Yan;Dong Xu;Benyu Zhang;Hong-Jiang Zhang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)
Robust Recovery of Subspace Structures by Low-Rank Representation
Guangcan Liu;Zhouchen Lin;Shuicheng Yan;Ju Sun.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2013)
An HOG-LBP human detector with partial occlusion handling
Xiaoyu Wang;Tony X. Han;Shuicheng Yan.
international conference on computer vision (2009)
Sparse Representation for Computer Vision and Pattern Recognition
John Wright;Yi Ma;Julien Mairal;Guillermo Sapiro.
Proceedings of the IEEE (2010)
Neighborhood preserving embedding
Xiaofei He;Deng Cai;Shuicheng Yan;Hong-Jiang Zhang.
international conference on computer vision (2005)
Supervised hashing for image retrieval via image representation learning
Rongkai Xia;Yan Pan;Hanjiang Lai;Cong Liu.
national conference on artificial intelligence (2014)
Simultaneous feature learning and hash coding with deep neural networks
Hanjiang Lai;Yan Pan;Ye Liu;Shuicheng Yan.
computer vision and pattern recognition (2015)
Visual Classification With Multitask Joint Sparse Representation
Xiao-Tong Yuan;Xiaobai Liu;Shuicheng Yan.
IEEE Transactions on Image Processing (2012)
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