H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 58 Citations 14,158 234 World Ranking 1757 National Ranking 165

Research.com Recognitions

Awards & Achievements

2016 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Operating system

His scientific interests lie mostly in Artificial intelligence, Computer vision, Image, Computer graphics and Algorithm. The Artificial intelligence study combines topics in areas such as Structure and Scene statistics. In most of his Computer vision studies, his work intersects topics such as Sketch.

As part of one scientific family, Shi-Min Hu deals mainly with the area of Image, narrowing it down to issues related to the Simple, and often The Internet. His work in Feature extraction tackles topics such as Object detection which are related to areas like Minimum bounding box, Convolutional neural network, Saliency map and Histogram. His Segmentation study combines topics from a wide range of disciplines, such as Cognitive neuroscience of visual object recognition, Polygon mesh and Image retrieval.

His most cited work include:

  • Global contrast based salient region detection (2666 citations)
  • Sketch2Photo: internet image montage (534 citations)
  • SalientShape: group saliency in image collections (221 citations)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Algorithm, Image and Computer graphics. Artificial intelligence is often connected to Pattern recognition in his work. His Computer vision study typically links adjacent topics like Visualization.

His biological study spans a wide range of topics, including Computer Aided Design, Polygon mesh and Morphing. Polygon mesh and T-vertices are frequently intertwined in his study. His Segmentation study incorporates themes from Point cloud and Benchmark.

He most often published in these fields:

  • Artificial intelligence (46.52%)
  • Computer vision (37.34%)
  • Algorithm (14.87%)

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

  • Artificial intelligence (46.52%)
  • Computer vision (37.34%)
  • Segmentation (8.54%)

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

His primary areas of study are Artificial intelligence, Computer vision, Segmentation, Point cloud and Pattern recognition. His Computer vision research includes themes of Frame and Cluster analysis. His Segmentation study integrates concerns from other disciplines, such as Data mining and Benchmark.

Shi-Min Hu combines subjects such as Salient, Skeleton, Object detection and Gesture with his study of Benchmark. His Point cloud study deals with Point intersecting with Depth map, Line, Image segmentation and Convolution. His study looks at the relationship between Pattern recognition and topics such as Feature, which overlap with Position, Contextual image classification, Normalization and Dependency.

Between 2018 and 2021, his most popular works were:

  • Example-Guided Style-Consistent Image Synthesis From Semantic Labeling (39 citations)
  • Morphing and Sampling Network for Dense Point Cloud Completion (35 citations)
  • Combined adjuvant effect of ginseng stem-leaf saponins and selenium on immune responses to a live bivalent vaccine of Newcastle disease virus and infectious bronchitis virus in chickens. (30 citations)

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

  • Artificial intelligence
  • Computer vision
  • Operating system

Shi-Min Hu mainly investigates Artificial intelligence, Deep learning, Segmentation, Computer vision and Point cloud. A large part of his Artificial intelligence studies is devoted to Image. His Deep learning research incorporates elements of Theoretical computer science, Face, Graph and Code.

His research in Segmentation intersects with topics in Data mining and Benchmark. His study in the field of Feature extraction and Smoothing is also linked to topics like Trajectory and Simultaneous localization and mapping. Shi-Min Hu has researched Point cloud in several fields, including Function, Cognitive neuroscience of visual object recognition, Image segmentation and Morphing.

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

Global contrast based salient region detection

Ming-Ming Cheng;Guo-Xin Zhang;Niloy J. Mitra;Xiaolei Huang.
computer vision and pattern recognition (2011)

3982 Citations

Sketch2Photo: internet image montage

Tao Chen;Ming-Ming Cheng;Ping Tan;Ariel Shamir.
international conference on computer graphics and interactive techniques (2009)

727 Citations

Traffic-Sign Detection and Classification in the Wild

Zhe Zhu;Dun Liang;Songhai Zhang;Xiaolei Huang.
computer vision and pattern recognition (2016)

368 Citations

A Shape-Preserving Approach to Image Resizing

Guo-Xin Zhang;Ming-Ming Cheng;Shi-Min Hu;Ralph Robert Martin.
Computer Graphics Forum (2009)

286 Citations

SalientShape: group saliency in image collections

Ming-Ming Cheng;Niloy J. Mitra;Xiaolei Huang;Shi-Min Hu.
The Visual Computer (2014)

274 Citations

View-dependent displacement mapping

Lifeng Wang;Xi Wang;Xin Tong;Stephen Lin.
international conference on computer graphics and interactive techniques (2003)

248 Citations

3-Sweep: extracting editable objects from a single photo

Tao Chen;Zhe Zhu;Ariel Shamir;Shi-Min Hu.
international conference on computer graphics and interactive techniques (2013)

230 Citations

Geometry and Convergence Analysis of Algorithms for Registration of 3D Shapes

Helmut Pottmann;Qi-Xing Huang;Yong-Liang Yang;Shi-Min Hu.
International Journal of Computer Vision (2006)

226 Citations

Modifying the shape of NURBS surfaces with geometric constraints

Shi-Min Hu;Youfu Li;Tao Ju;Xiang Zhu.
Computer-aided Design (2001)

216 Citations

Sketch2Scene: sketch-based co-retrieval and co-placement of 3D models

Kun Xu;Kang Chen;Hongbo Fu;Wei-Lun Sun.
international conference on computer graphics and interactive techniques (2013)

191 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 Shi-Min Hu

Huchuan Lu

Huchuan Lu

Dalian University of Technology

Publications: 75

Niloy J. Mitra

Niloy J. Mitra

University College London

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Ming-Ming Cheng

Ming-Ming Cheng

Nankai University

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Zhi Liu

Zhi Liu

Shanghai University

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Hong Qin

Hong Qin

Stony Brook University

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Junwei Han

Junwei Han

Northwestern Polytechnical University

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Daniel Cohen-Or

Daniel Cohen-Or

Tel Aviv University

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Ali Borji

Ali Borji

Verizon (United States)

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Jianbing Shen

Jianbing Shen

Beijing Institute of Technology

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Hao Zhang

Hao Zhang

Simon Fraser University

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Yu-Kun Lai

Yu-Kun Lai

Cardiff University

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Kai Xu

Kai Xu

National University of Defense Technology

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Qixing Huang

Qixing Huang

The University of Texas at Austin

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Leonidas J. Guibas

Leonidas J. Guibas

Stanford University

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Yizhou Yu

Yizhou Yu

University of Hong Kong

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