His primary areas of study are Artificial intelligence, Pattern recognition, Iterative reconstruction, Computer vision and Sparse approximation. His study in Image, Face, Representation, Feature extraction and Discriminative model are all subfields of Artificial intelligence. His work deals with themes such as Point set registration, Face hallucination and Feature, which intersect with Pattern recognition.
His research in Iterative reconstruction intersects with topics in Image resolution and Facial recognition system. His Fusion rules, Image fusion, Noise and Projection study in the realm of Computer vision interacts with subjects such as Infrared. His work in Sparse approximation covers topics such as Reproducing kernel Hilbert space which are related to areas like Mixture model.
Junjun Jiang mostly deals with Artificial intelligence, Pattern recognition, Computer vision, Face and Face hallucination. His Image resolution, Image, Feature extraction, Iterative reconstruction and Sparse approximation study are his primary interests in Artificial intelligence. Junjun Jiang has researched Pattern recognition in several fields, including Embedding, Facial recognition system, Feature and Manifold.
His Noise and Image fusion study, which is part of a larger body of work in Computer vision, is frequently linked to Streak, bridging the gap between disciplines. His work investigates the relationship between Face and topics such as Representation that intersect with problems in Least squares and Algorithm. The various areas that Junjun Jiang examines in his Face hallucination study include Regularization, Deep learning, Hallucinating and Thresholding.
His primary scientific interests are in Artificial intelligence, Pattern recognition, Image, Deep learning and Computer vision. Image resolution, Feature extraction, Pixel, Convolutional neural network and Feature are among the areas of Artificial intelligence where the researcher is concentrating his efforts. His studies in Image resolution integrate themes in fields like Leverage and Iterative reconstruction.
His research integrates issues of Spatial analysis, Face, Similarity and Face hallucination in his study of Pattern recognition. His Image research includes themes of Discriminative model and Sharpening. His work on Image fusion as part of general Computer vision research is frequently linked to Streak, Code, Focal length and Focus, thereby connecting diverse disciplines of science.
Artificial intelligence, Pattern recognition, Deep learning, Image fusion and Image are his primary areas of study. His work in the fields of Feature extraction and Image resolution overlaps with other areas such as Matching and Code. The study incorporates disciplines such as Image retrieval, Iterative reconstruction and Cluster analysis in addition to Pattern recognition.
His biological study spans a wide range of topics, including Robustness and Pattern recognition. His Image fusion research is multidisciplinary, incorporating elements of Unsupervised learning and Task. As part of the same scientific family, Junjun Jiang usually focuses on Image, concentrating on Discriminative model and intersecting with Aggregate.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming
Jiayi Ma;Huabing Zhou;Ji Zhao;Yuan Gao.
IEEE Transactions on Geoscience and Remote Sensing (2015)
FusionGAN: A generative adversarial network for infrared and visible image fusion
Jiayi Ma;Wei Yu;Pengwei Liang;Chang Li.
Information Fusion (2019)
Locality Preserving Matching
Jiayi Ma;Ji Zhao;Junjun Jiang;Huabing Zhou.
International Journal of Computer Vision (2019)
Locality Preserving Matching.
Jiayi Ma;Ji Zhao;Hanqi Guo;Junjun Jiang.
international joint conference on artificial intelligence (2017)
Noise Robust Face Hallucination via Locality-Constrained Representation
Junjun Jiang;Ruimin Hu;Zhongyuan Wang;Zhen Han.
IEEE Transactions on Multimedia (2014)
Guided Locality Preserving Feature Matching for Remote Sensing Image Registration
Jiayi Ma;Junjun Jiang;Huabing Zhou;Ji Zhao.
IEEE Transactions on Geoscience and Remote Sensing (2018)
Face Super-Resolution via Multilayer Locality-Constrained Iterative Neighbor Embedding and Intermediate Dictionary Learning
Junjun Jiang;Ruimin Hu;Zhongyuan Wang;Zhen Han.
IEEE Transactions on Image Processing (2014)
Zero-Shot Person Re-identification via Cross-View Consistency
Zheng Wang;Ruimin Hu;Chao Liang;Yi Yu.
IEEE Transactions on Multimedia (2016)
Edge-Enhanced GAN for Remote Sensing Image Superresolution
Kui Jiang;Zhongyuan Wang;Peng Yi;Guangcheng Wang.
IEEE Transactions on Geoscience and Remote Sensing (2019)
Image Matching from Handcrafted to Deep Features: A Survey
Jiayi Ma;Xingyu Jiang;Aoxiang Fan;Junjun Jiang.
International Journal of Computer Vision (2021)
Profile was last updated on December 6th, 2021.
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