What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Machine learning
His primary scientific interests are in Artificial intelligence, Pattern recognition, Reproducing kernel Hilbert space, Computer vision and Sparse approximation.
His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Point set registration.
His Pattern recognition research includes elements of Spatial analysis and RANSAC.
His Reproducing kernel Hilbert space research includes themes of Transformation, Outlier and Robustness.
His Robustness research incorporates elements of Feature extraction and Remote sensing.
In his study, which falls under the umbrella issue of Image fusion, High spatial resolution and Fusion rules is strongly linked to Infrared.
His most cited work include:
- Infrared and visible image fusion via gradient transfer and total variation minimization (329 citations)
- Infrared and visible image fusion methods and applications: A survey (318 citations)
- Robust Point Matching via Vector Field Consensus (311 citations)
What are the main themes of his work throughout his whole career to date?
Jiayi Ma mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Image and Feature extraction.
His work on Artificial intelligence deals in particular with Feature, Robustness, Image fusion, Sparse approximation and Deep learning.
The Sparse approximation study which covers Reproducing kernel Hilbert space that intersects with Transformation.
His biological study spans a wide range of topics, including Point set registration, Spatial analysis and Outlier.
His Image study incorporates themes from Generator, Structure, Perspective and Face.
His work deals with themes such as Artificial neural network, Convolution and Image segmentation, which intersect with Feature extraction.
He most often published in these fields:
- Artificial intelligence (80.09%)
- Pattern recognition (53.39%)
- Computer vision (27.15%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (80.09%)
- Pattern recognition (53.39%)
- Image (19.46%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Image, Image fusion and Feature extraction.
The Artificial intelligence study combines topics in areas such as Generator and Computer vision.
His study in the field of Hyperspectral imaging, Convolutional neural network and Segmentation also crosses realms of Block.
Many of his research projects under Image are closely connected to Domain with Domain, tying the diverse disciplines of science together.
His Image fusion research incorporates themes from Infrared and Metric.
Jiayi Ma interconnects Ground truth, Entropy, Iterative reconstruction and Search algorithm in the investigation of issues within Feature extraction.
Between 2019 and 2021, his most popular works were:
- Infrared and visible image fusion via detail preserving adversarial learning (80 citations)
- DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion (60 citations)
- Multi-Temporal Ultra Dense Memory Network for Video Super-Resolution (47 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Machine learning
His main research concerns Artificial intelligence, Pattern recognition, Image fusion, Feature extraction and Image.
Artificial intelligence connects with themes related to Computer vision in his study.
His Pattern recognition research is multidisciplinary, incorporating perspectives in Transformation, Spatial analysis, Outlier and Pattern matching.
His Image fusion research is multidisciplinary, incorporating elements of Image resolution, Image segmentation, Image restoration and Metric.
His work carried out in the field of Feature extraction brings together such families of science as Image processing, Orientation, Pose, Image plane and Algorithm.
The various areas that Jiayi Ma examines in his Image study include Generator, Discriminative model, Infrared and Sharpening.
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