Yanwei Pang focuses on Artificial intelligence, Pattern recognition, Feature extraction, Computer vision and Linear discriminant analysis. In his study, Semantics is strongly linked to Machine learning, which falls under the umbrella field of Artificial intelligence. His Pattern recognition research is multidisciplinary, incorporating elements of Facial recognition system, Image retrieval, Data mining and Cluster analysis.
His Feature extraction study combines topics in areas such as Artificial neural network, Object detection and Feature. His Computer vision research integrates issues from Distribution and Computation. The concepts of his Linear discriminant analysis study are interwoven with issues in Image processing, Subspace topology, Algorithm and Dimensionality reduction.
Yanwei Pang mainly investigates Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Object detection. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Machine learning. Yanwei Pang combines subjects such as Subspace topology and Facial recognition system with his study of Pattern recognition.
In general Computer vision, his work in Image restoration, Image segmentation, Histogram and Filter is often linked to Key linking many areas of study. His research investigates the link between Feature extraction and topics such as Convolutional neural network that cross with problems in Artificial neural network and Linear filter. The Principal component analysis study combines topics in areas such as Outlier and Robustness.
Yanwei Pang spends much of his time researching Artificial intelligence, Pattern recognition, Feature extraction, Machine learning and Object detection. His Artificial intelligence study frequently draws connections between related disciplines such as Computer vision. His research in the fields of Discriminative model and Similarity overlaps with other disciplines such as Exploit.
Yanwei Pang has included themes like Point cloud, Point and Convolutional neural network in his Feature extraction study. His studies in Machine learning integrate themes in fields like Thesaurus and Robustness. His Object detection study combines topics from a wide range of disciplines, such as Face detection and Pyramid.
Yanwei Pang mainly focuses on Artificial intelligence, Pattern recognition, Feature extraction, Object detection and Convolutional neural network. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Scale, Machine learning and Computer vision. His work on Stereopsis as part of general Computer vision study is frequently linked to Transformation and Visual perception, therefore connecting diverse disciplines of science.
His study in Pattern recognition is interdisciplinary in nature, drawing from both Variation and Pascal. His studies deal with areas such as Salient and Pyramid as well as Feature extraction. The various areas that Yanwei Pang examines in his Convolutional neural network study include Artificial neural network, Biometrics, Generalization and Identification.
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Photo2Trip: generating travel routes from geo-tagged photos for trip planning
Xin Lu;Changhu Wang;Jiang-Ming Yang;Yanwei Pang.
acm multimedia (2010)
Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior
Chong-Yi Li;Ji-Chang Guo;Run-Min Cong;Yan-Wei Pang.
IEEE Transactions on Image Processing (2016)
Gabor-Based Region Covariance Matrices for Face Recognition
Yanwei Pang;Yuan Yuan;Xuelong Li.
IEEE Transactions on Circuits and Systems for Video Technology (2008)
Efficient HOG human detection
Yanwei Pang;Yuan Yuan;Xuelong Li;Jing Pan.
Signal Processing (2011)
Xuelong Li;Yanwei Pang;Yuan Yuan.
systems man and cybernetics (2010)
Equip tourists with knowledge mined from travelogues
Qiang Hao;Rui Cai;Changhu Wang;Rong Xiao.
the web conference (2010)
Robust Tensor Analysis With L1-Norm
Yanwei Pang;Xuelong Li;Yuan Yuan.
IEEE Transactions on Circuits and Systems for Video Technology (2010)
Video Summarization With Attention-Based Encoder–Decoder Networks
Zhong Ji;Kailin Xiong;Yanwei Pang;Xuelong Li.
IEEE Transactions on Circuits and Systems for Video Technology (2020)
Fully affine invariant SURF for image matching
Yanwei Pang;Wei Li;Yuan Yuan;Jing Pan.
LightenNet: a Convolutional Neural Network for weakly illuminated image enhancement
Chongyi Li;Chongyi Li;Jichang Guo;Fatih Porikli;Yanwei Pang.
Pattern Recognition Letters (2018)
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