H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 46 Citations 9,060 122 World Ranking 3455 National Ranking 152

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Optics

Ping Tan mainly focuses on Artificial intelligence, Computer vision, Image, Pattern recognition and Structure from motion. His Pixel, Image stabilization and Motion estimation study in the realm of Artificial intelligence interacts with subjects such as Domain and Context model. His research combines Robustness and Computer vision.

His Image research incorporates elements of Segmentation and The Internet. The Pattern recognition study combines topics in areas such as DUAL, Translation, Image translation, Task and Function. In his research on the topic of Structure from motion, Trifocal tensor, Image registration and Bundle adjustment is strongly related with Pose.

His most cited work include:

  • DualGAN: Unsupervised Dual Learning for Image-to-Image Translation (866 citations)
  • Sketch2Photo: internet image montage (534 citations)
  • DualGAN: Unsupervised Dual Learning for Image-to-Image Translation (234 citations)

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

His primary scientific interests are in Artificial intelligence, Computer vision, Image, Pattern recognition and Photometric stereo. His work is connected to Feature, Pixel, Segmentation, Deep learning and Benchmark, as a part of Artificial intelligence. His Computer vision research incorporates themes from Reflectivity and Robustness.

In the subject of general Image, his work in Image processing is often linked to Set, Process and Quality, thereby combining diverse domains of study. His Pattern recognition research includes elements of Object and Task. Ping Tan interconnects Isotropy, Euclidean geometry, Normal and Radiometry in the investigation of issues within Photometric stereo.

He most often published in these fields:

  • Artificial intelligence (86.79%)
  • Computer vision (69.81%)
  • Image (19.50%)

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

  • Artificial intelligence (86.79%)
  • Computer vision (69.81%)
  • Pattern recognition (14.47%)

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

Ping Tan spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Generalization and Convolutional neural network. His Image, Point cloud, Augmented reality, Feature and Rendering investigations are all subjects of Artificial intelligence research. His research in Image intersects with topics in Range and Product.

His Computer vision study combines topics from a wide range of disciplines, such as Deep learning and Benchmark. His study in the field of Feature learning also crosses realms of Encoder. His Convolutional neural network study integrates concerns from other disciplines, such as Algorithm and Normalization.

Between 2019 and 2021, his most popular works were:

  • Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching (46 citations)
  • Intrinsic Image Decomposition with Step and Drift Shading Separation (10 citations)
  • Self-Supervised Human Depth Estimation From Monocular Videos (9 citations)

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

  • Artificial intelligence
  • Computer vision
  • Topology

Ping Tan spends much of his time researching Artificial intelligence, Computer vision, Algorithm, Generalization and Normalization. His Artificial intelligence study frequently draws parallels with other fields, such as Belief propagation. His Computer vision research is multidisciplinary, incorporating elements of Perspective, Reflectivity and Benchmark.

His Perspective research includes themes of Image, Face and Iterative reconstruction. The Decoding methods research Ping Tan does as part of his general Algorithm study is frequently linked to other disciplines of science, such as Micrography, therefore creating a link between diverse domains of science. His Generalization study combines topics in areas such as Motion, Training set, Ground truth and Monocular.

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

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

Zili Yi;Hao Zhang;Ping Tan;Minglun Gong.
international conference on computer vision (2017)

866 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

Image-based plant modeling

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

398 Citations

Richardson-Lucy Deblurring for Scenes under a Projective Motion Path

Yu-Wing Tai;Ping Tan;M. S. Brown.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

340 Citations

Image-based tree modeling

Ping Tan;Gang Zeng;Jingdong Wang;Sing Bing Kang.
international conference on computer graphics and interactive techniques (2007)

277 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

CoSLAM: Collaborative Visual SLAM in Dynamic Environments

Danping Zou;Ping Tan.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2013)

242 Citations

Image-based façade modeling

Jianxiong Xiao;Tian Fang;Ping Tan;Peng Zhao.
international conference on computer graphics and interactive techniques (2008)

223 Citations

Semantic colorization with internet images

Alex Yong-Sang Chia;Shaojie Zhuo;Raj Kumar Gupta;Yu-Wing Tai.
international conference on computer graphics and interactive techniques (2011)

210 Citations

Single image tree modeling

Ping Tan;Tian Fang;Jianxiong Xiao;Peng Zhao.
international conference on computer graphics and interactive techniques (2008)

168 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 Ping Tan

Ming-Ming Cheng

Ming-Ming Cheng

Nankai University

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Long Quan

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Hong Kong University of Science and Technology

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University of California, Merced

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Shi-Min Hu

Shi-Min Hu

Tsinghua University

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Yasuyuki Matsushita

Yasuyuki Matsushita

Osaka University

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Luc Van Gool

Luc Van Gool

ETH Zurich

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Lior Wolf

Lior Wolf

Tel Aviv University

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Niloy J. Mitra

Niloy J. Mitra

University College London

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Yu-Wing Tai

Yu-Wing Tai

Kuaishou Technology

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Ravi Ramamoorthi

Ravi Ramamoorthi

University of California, San Diego

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Daniel Cohen-Or

Daniel Cohen-Or

Tel Aviv University

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Kalyan Sunkavalli

Kalyan Sunkavalli

Adobe Systems (United States)

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Christian Theobalt

Christian Theobalt

Max Planck Institute for Informatics

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Jiaya Jia

Jiaya Jia

Chinese University of Hong Kong

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Qionghai Dai

Qionghai Dai

Tsinghua University

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