H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 35 Citations 7,502 84 World Ranking 5917 National Ranking 2852

Overview

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, Computer vision, Image, Feature extraction and Kernel. His research brings together the fields of Pattern recognition and Artificial intelligence. His research on Computer vision frequently connects to adjacent areas such as Deconvolution.

His Image research is multidisciplinary, incorporating elements of Algorithm and Line segment. As part of one scientific family, he deals mainly with the area of Feature extraction, narrowing it down to issues related to the Feature, and often Cognitive neuroscience of visual object recognition, Object detection, Object, Image segmentation and Feature. The study incorporates disciplines such as Image resolution and Deblurring in addition to Kernel.

His most cited work include:

  • Image deblurring with blurred/noisy image pairs (854 citations)
  • Image completion with structure propagation (539 citations)
  • Visual attribute transfer through deep image analogy (251 citations)

What are the main themes of his work throughout his whole career to date?

Lu Yuan mainly focuses on Artificial intelligence, Computer vision, Image, Pattern recognition and Feature. His research is interdisciplinary, bridging the disciplines of Machine learning and Artificial intelligence. His study in the fields of Image restoration, Motion blur, Deblurring and Image stabilization under the domain of Computer vision overlaps with other disciplines such as Portrait.

His Image research focuses on Parameterized complexity and how it connects with Smoothing, Noise reduction and Computation. His work carried out in the field of Pattern recognition brings together such families of science as Texture and Robustness. His Feature research incorporates elements of Stereoscopy and Source image.

He most often published in these fields:

  • Artificial intelligence (75.70%)
  • Computer vision (45.79%)
  • Image (28.97%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (75.70%)
  • Algorithm (16.82%)
  • Image (28.97%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Artificial intelligence, Algorithm, Image, Machine learning and Convolution. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Pattern recognition. His Algorithm study incorporates themes from Adversarial system and Activation function.

His Image study is concerned with the field of Computer vision as a whole. In general Machine learning, his work in Ranking is often linked to Architecture, Sample, Sampling and Network architecture linking many areas of study. The concepts of his Convolution study are interwoven with issues in Perspective, Convolutional neural network and Dimensionality reduction.

Between 2019 and 2021, his most popular works were:

  • Dynamic Convolution: Attention Over Convolution Kernels (46 citations)
  • Rethinking Classification and Localization for Object Detection (29 citations)
  • Cross-Domain Correspondence Learning for Exemplar-Based Image Translation (26 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His primary areas of investigation include Artificial intelligence, Artificial neural network, Feature extraction, Image and Theoretical computer science. His work deals with themes such as Machine learning and Computer vision, which intersect with Artificial intelligence. Lu Yuan combines subjects such as Smoothing and Algorithm with his study of Artificial neural network.

The Algorithm study combines topics in areas such as Convolution, Activation function and Kernel. His Feature extraction study combines topics in areas such as Semantics, Segmentation, Image segmentation and Image translation. His studies in Theoretical computer science integrate themes in fields like Normalization, Image processing, Spatially adaptive, Parameterized complexity and Computation.

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.

Top Publications

Image deblurring with blurred/noisy image pairs

Lu Yuan;Jian Sun;Long Quan;Heung-Yeung Shum.
international conference on computer graphics and interactive techniques (2007)

849 Citations

Image completion with structure propagation

Jian Sun;Lu Yuan;Jiaya Jia;Heung-Yeung Shum.
international conference on computer graphics and interactive techniques (2005)

756 Citations

Image-based plant modeling

Long Quan;Ping Tan;Gang Zeng;Lu Yuan.
international conference on computer graphics and interactive techniques (2006)

398 Citations

Deep Feature Flow for Video Recognition

Xizhou Zhu;Yuwen Xiong;Jifeng Dai;Lu Yuan.
computer vision and pattern recognition (2017)

285 Citations

Progressive inter-scale and intra-scale non-blind image deconvolution

Lu Yuan;Jian Sun;Long Quan;Heung-Yeung Shum.
international conference on computer graphics and interactive techniques (2008)

283 Citations

Bundled camera paths for video stabilization

Shuaicheng Liu;Lu Yuan;Ping Tan;Jian Sun.
international conference on computer graphics and interactive techniques (2013)

273 Citations

Visual attribute transfer through deep image analogy

Jing Liao;Yuan Yao;Lu Yuan;Gang Hua.
international conference on computer graphics and interactive techniques (2017)

251 Citations

Flow-Guided Feature Aggregation for Video Object Detection

Xizhou Zhu;Yujie Wang;Jifeng Dai;Lu Yuan.
international conference on computer vision (2017)

245 Citations

Bidirectional Learning for Domain Adaptation of Semantic Segmentation

Yunsheng Li;Lu Yuan;Nuno Vasconcelos.
computer vision and pattern recognition (2019)

221 Citations

Robust dual motion deblurring

Jia Chen;Lu Yuan;Chi-Keung Tang;Long Quan.
computer vision and pattern recognition (2008)

206 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Lu Yuan

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