What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Computer network
His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Image processing and Motion compensation.
Chia-Wen Lin studies Video denoising which is a part of Artificial intelligence.
The Pattern recognition study combines topics in areas such as Image, Inpainting, Discrete cosine transform and Feature.
His Image processing study combines topics in areas such as Bilateral filter and Sparse approximation.
His Motion compensation research is multidisciplinary, incorporating elements of Block-matching algorithm and Video compression picture types.
His research integrates issues of Motion estimation, Quarter-pixel motion and Multiview Video Coding in his study of Block-matching algorithm.
His most cited work include:
- Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition (400 citations)
- Digital Video Transcoding (349 citations)
- Saliency Detection in the Compressed Domain for Adaptive Image Retargeting (260 citations)
What are the main themes of his work throughout his whole career to date?
Chia-Wen Lin mainly focuses on Artificial intelligence, Computer vision, Pattern recognition, Image and Algorithm.
His Computer vision and Motion estimation, Image processing, Motion compensation, Object and Image resolution investigations all form part of his Computer vision research activities.
Chia-Wen Lin combines subjects such as Image quality and Sparse approximation with his study of Image processing.
The various areas that he examines in his Motion compensation study include Transcoding, Video tracking, Block-matching algorithm, Video compression picture types and Motion vector.
His research investigates the connection between Pattern recognition and topics such as Cluster analysis that intersect with issues in Feature learning.
His Algorithm research is multidisciplinary, incorporating perspectives in Graph, Encoder, Coding and Filter.
He most often published in these fields:
- Artificial intelligence (59.67%)
- Computer vision (38.27%)
- Pattern recognition (25.51%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (59.67%)
- Pattern recognition (25.51%)
- Image (13.99%)
In recent papers he was focusing on the following fields of study:
Chia-Wen Lin focuses on Artificial intelligence, Pattern recognition, Image, Computer vision and Convolutional neural network.
His studies in Artificial intelligence integrate themes in fields like Machine learning and Code.
The study incorporates disciplines such as Prior probability, Noise, Face and Generative grammar in addition to Pattern recognition.
His Image research integrates issues from Segmentation, Similarity, Hash function, Data stream mining and Semantic similarity.
Chia-Wen Lin incorporates Computer vision and Visible infrared in his research.
His Convolutional neural network research focuses on subjects like Noise reduction, which are linked to Compression, DUAL and Gaussian noise.
Between 2017 and 2021, his most popular works were:
- Deep learning on image denoising: An overview. (47 citations)
- SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination (32 citations)
- Robust face sketch synthesis via generative adversarial fusion of priors and parametric sigmoid (18 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Computer network
His main research concerns Artificial intelligence, Pattern recognition, Convolutional neural network, Image and Computer vision.
The concepts of his Artificial intelligence study are interwoven with issues in User experience design and Constraint.
His research in Pattern recognition intersects with topics in Graph, Deep learning and Face.
His research in Convolutional neural network tackles topics such as Noise reduction which are related to areas like Gaussian noise and Noise.
His Image research includes elements of Segmentation, Theoretical computer science and Code.
Chia-Wen Lin studies Single image, a branch of Computer vision.
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.
