H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 105 Citations 237,748 264 World Ranking 113 National Ranking 14

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, Pattern recognition, Computer vision, Object detection and Convolutional neural network. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Machine learning. His study in Pattern recognition is interdisciplinary in nature, drawing from both Feature, Contextual image classification, Facial recognition system, Histogram and Kadir–Brady saliency detector.

The study incorporates disciplines such as Frame rate and Viola–Jones object detection framework in addition to Object detection. His Convolutional neural network research incorporates elements of Deep learning and Speedup. Jian Sun has researched Artificial neural network in several fields, including Residual and Test set.

His most cited work include:

  • Deep Residual Learning for Image Recognition (61800 citations)
  • Faster R-CNN: towards real-time object detection with region proposal networks (12666 citations)
  • Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification (7908 citations)

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

His primary areas of study are Artificial intelligence, Pattern recognition, Computer vision, Image and Object detection. His research ties Machine learning and Artificial intelligence together. Jian Sun has included themes like Facial recognition system and Feature in his Pattern recognition study.

His research combines Computer graphics and Computer vision. Jian Sun combines subjects such as Algorithm, Detector, Task and Code with his study of Object detection. As a part of the same scientific study, he usually deals with the Convolutional neural network, concentrating on Deep learning and frequently concerns with Artificial neural network.

He most often published in these fields:

  • Artificial intelligence (71.96%)
  • Pattern recognition (35.28%)
  • Computer vision (34.11%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (71.96%)
  • Pattern recognition (35.28%)
  • Object detection (15.19%)

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

Jian Sun focuses on Artificial intelligence, Pattern recognition, Object detection, Code and Segmentation. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Point, Machine learning and Computer vision. His work carried out in the field of Computer vision brings together such families of science as Iterative method and Constraint.

Jian Sun interconnects Embedding, Graph, Feature and Graph in the investigation of issues within Pattern recognition. His study in Object detection is interdisciplinary in nature, drawing from both Contextual image classification, Algorithm and Detector. His work on Residual neural network as part of his general Artificial neural network study is frequently connected to Meta learning, thereby bridging the divide between different branches of science.

Between 2018 and 2021, his most popular works were:

  • Single Path One-Shot Neural Architecture Search with Uniform Sampling (169 citations)
  • DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation (113 citations)
  • MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning (98 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Object detection, Discriminative model and Detector. His Artificial intelligence study frequently links to adjacent areas such as Machine learning. His research in Pattern recognition intersects with topics in Contextual image classification, Pixel, Spatial analysis and Generative grammar.

His Contextual image classification research focuses on subjects like Task, which are linked to Computer vision and Point. His Object detection study introduces a deeper knowledge of Object. His biological study deals with issues like Pascal, which deal with fields such as Computer hardware and Differentiable function.

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

Deep Residual Learning for Image Recognition

Kaiming He;Xiangyu Zhang;Shaoqing Ren;Jian Sun.
computer vision and pattern recognition (2016)

51542 Citations

Faster R-CNN: towards real-time object detection with region proposal networks

Shaoqing Ren;Kaiming He;Ross Girshick;Jian Sun.
neural information processing systems (2015)

11334 Citations

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Kaiming He;Xiangyu Zhang;Shaoqing Ren;Jian Sun.
international conference on computer vision (2015)

8051 Citations

Guided image filtering

Kaiming He;Jian Sun;Xiaoou Tang.
european conference on computer vision (2010)

5009 Citations

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Kaiming He;Xiangyu Zhang;Shaoqing Ren;Jian Sun.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2015)

4833 Citations

Single Image Haze Removal Using Dark Channel Prior

Kaiming He;Jian Sun;Xiaoou Tang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

4463 Citations

Identity Mappings in Deep Residual Networks

Kaiming He;Xiangyu Zhang;Shaoqing Ren;Jian Sun.
european conference on computer vision (2016)

4011 Citations

Learning to Detect a Salient Object

Tie Liu;Zejian Yuan;Jian Sun;Jingdong Wang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

2643 Citations

Learning to Detect A Salient Object

Tie Liu;Jian Sun;Nan-Ning Zheng;Xiaoou Tang.
computer vision and pattern recognition (2007)

2641 Citations

Stereo matching using belief propagation

Jian Sun;Nan-Ning Zheng;Heung-Yeung Shum.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)

1678 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 Jian Sun

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 269

Luc Van Gool

Luc Van Gool

ETH Zurich

Publications: 227

Chunhua Shen

Chunhua Shen

University of Adelaide

Publications: 225

Xiaogang Wang

Xiaogang Wang

Chinese University of Hong Kong

Publications: 205

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 197

Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

Publications: 187

Yi Yang

Yi Yang

Zhejiang University

Publications: 171

Jiashi Feng

Jiashi Feng

National University of Singapore

Publications: 169

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 169

Alan L. Yuille

Alan L. Yuille

Johns Hopkins University

Publications: 166

Xiaoou Tang

Xiaoou Tang

Chinese University of Hong Kong

Publications: 156

Liang Lin

Liang Lin

Sun Yat-sen University

Publications: 155

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 142

Shiguang Shan

Shiguang Shan

Chinese Academy of Sciences

Publications: 134

Larry S. Davis

Larry S. Davis

University of Maryland, College Park

Publications: 133

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