H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 79 Citations 28,623 365 World Ranking 488 National Ranking 294

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Song-Chun Zhu mainly investigates Artificial intelligence, Pattern recognition, Computer vision, Parsing and Graph. The concepts of his Artificial intelligence study are interwoven with issues in Algorithm and Machine learning, Markov chain. His Pattern recognition study incorporates themes from Contextual image classification, Parse tree, Edge detection and Cluster analysis.

In his research, Bayes' theorem and Minimum description length is intimately related to Region growing, which falls under the overarching field of Edge detection. His biological study deals with issues like Grammar, which deal with fields such as Rule-based machine translation, Set, Event and Pose. His Graph research includes elements of Context-sensitive grammar, Theoretical computer science, Training set, Facial recognition system and Graph.

His most cited work include:

  • Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation (1812 citations)
  • Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling (606 citations)
  • Image segmentation by data-driven Markov chain Monte Carlo (536 citations)

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

His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Computer vision, Graph and Parsing. His research integrates issues of Machine learning and Natural language processing in his study of Artificial intelligence. His study in Pattern recognition is interdisciplinary in nature, drawing from both Cognitive neuroscience of visual object recognition and Statistical model.

His Computer vision research is multidisciplinary, incorporating elements of Sketch and Representation. The study incorporates disciplines such as Robot, Theoretical computer science and Graph in addition to Graph. His Parsing research is multidisciplinary, incorporating perspectives in Inference and Grammar.

He most often published in these fields:

  • Artificial intelligence (73.59%)
  • Pattern recognition (26.99%)
  • Computer vision (24.27%)

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

  • Artificial intelligence (73.59%)
  • Markov chain Monte Carlo (12.04%)
  • Algorithm (13.01%)

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

His scientific interests lie mostly in Artificial intelligence, Markov chain Monte Carlo, Algorithm, Human–computer interaction and Parsing. His Artificial intelligence study combines topics from a wide range of disciplines, such as Pattern recognition, Computer vision and Natural language processing. His Computer vision research includes themes of Perspective and Representation.

Song-Chun Zhu has included themes like Sampling, Energy, Markov chain, Posterior probability and Generative model in his Markov chain Monte Carlo study. His Algorithm study combines topics in areas such as Latent variable, Noise, Maximum likelihood, Generator and Function. His biological study spans a wide range of topics, including Context and Grammar.

Between 2018 and 2021, his most popular works were:

  • Cooperative Training of Descriptor and Generator Networks (56 citations)
  • DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare (53 citations)
  • RAVEN: A Dataset for Relational and Analogical Visual REasoNing (50 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

His primary scientific interests are in Artificial intelligence, Markov chain Monte Carlo, Algorithm, Inference and Energy. His work carried out in the field of Artificial intelligence brings together such families of science as Natural language processing, Graph, Computer vision and Pattern recognition. His work deals with themes such as Domain, Probability distribution and Image warping, which intersect with Pattern recognition.

His Markov chain Monte Carlo research is multidisciplinary, relying on both Machine learning and Generative model. His Algorithm research incorporates elements of Transformation, Image, Noise, Maximum likelihood and Function. His Inference study integrates concerns from other disciplines, such as Contrast, Field, Cognitive science, Divergence and Raven's Progressive Matrices.

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

Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation

Song Chun Zhu;A. Yuille.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1996)

2973 Citations

Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation

S.C. Zhu;T.S. Lee;A.L. Yuille.
international conference on computer vision (1995)

2964 Citations

Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling

Song Chun Zhu;Yingnian Wu;David Mumford.
International Journal of Computer Vision (1998)

974 Citations

Image segmentation by data-driven Markov chain Monte Carlo

Zhuowen Tu;Song-Chun Zhu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)

873 Citations

Image segmentation by data driven Markov chain Monte Carlo

Zhuowen Tu;Song-Chun Zhu;Heung-Yeung Shum.
international conference on computer vision (2001)

786 Citations

Image Parsing: Unifying Segmentation, Detection, and Recognition

Zhuowen Tu;Xiangrong Chen;Alan L. Yuille;Song Chun Zhu.
International Journal of Computer Vision (2005)

783 Citations

On Advances in Statistical Modeling of Natural Images

A. Srivastava;A. B. Lee;E. P. Simoncelli;S.-C. Zhu.
Journal of Mathematical Imaging and Vision (2003)

656 Citations

A Stochastic Grammar of Images

Song-Chun Zhu;David Mumford.
(2007)

618 Citations

Minimax Entropy Principle and Its Application to Texture Modeling

Song Chun Zhu;Ying Nian Wu;David Mumford.
Neural Computation (1997)

573 Citations

Prior learning and Gibbs reaction-diffusion

Song Chun Zhu;D. Mumford.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1997)

455 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.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Song-Chun Zhu

Alan L. Yuille

Alan L. Yuille

Johns Hopkins University

Publications: 103

Liang Lin

Liang Lin

Sun Yat-sen University

Publications: 99

Anthony Yezzi

Anthony Yezzi

Georgia Institute of Technology

Publications: 61

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 52

Li Fei-Fei

Li Fei-Fei

Stanford University

Publications: 44

Stefano Soatto

Stefano Soatto

University of California, Los Angeles

Publications: 44

Zhuowen Tu

Zhuowen Tu

University of California, San Diego

Publications: 42

Daniel Cremers

Daniel Cremers

Technical University of Munich

Publications: 40

Luc Van Gool

Luc Van Gool

ETH Zurich

Publications: 38

Amar Mitiche

Amar Mitiche

Institut National de la Recherche Scientifique

Publications: 37

Xiang Bai

Xiang Bai

Huazhong University of Science and Technology

Publications: 35

Jiebo Luo

Jiebo Luo

University of Rochester

Publications: 35

William T. Freeman

William T. Freeman

MIT

Publications: 34

Dimitris N. Metaxas

Dimitris N. Metaxas

Rutgers, The State University of New Jersey

Publications: 33

Martial Hebert

Martial Hebert

Carnegie Mellon University

Publications: 33

Something went wrong. Please try again later.