D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 38 Citations 12,080 88 World Ranking 5039 National Ranking 2483

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Image, Convolutional neural network and Computer vision. In the subject of general Artificial intelligence, his work in Feature extraction, Superresolution and Image resolution is often linked to Space and Bicubic interpolation, thereby combining diverse domains of study. His Feature extraction study combines topics in areas such as Artificial neural network and Iterative reconstruction.

His research investigates the connection between Image resolution and topics such as Pyramid that intersect with problems in Robustness, Visualization, Eye tracking and Cognitive neuroscience of visual object recognition. His research in Pattern recognition intersects with topics in Pascal and Leverage. His study in the fields of Single image, Planar projection and Video tracking under the domain of Computer vision overlaps with other disciplines such as Structure.

His most cited work include:

  • Hierarchical Convolutional Features for Visual Tracking (1192 citations)
  • Single image super-resolution from transformed self-exemplars (1141 citations)
  • Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (904 citations)

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

His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Convolutional neural network and Image. In Artificial intelligence, Jia-Bin Huang works on issues like Machine learning, which are connected to Contextual image classification. In his study, which falls under the umbrella issue of Computer vision, Eye tracking, Video tracking and Classifier is strongly linked to Robustness.

His Feature extraction study in the realm of Pattern recognition connects with subjects such as Key and Clutter. His studies deal with areas such as Image resolution, Upsampling, Convolution, Iterative reconstruction and Pyramid as well as Convolutional neural network. In general Image study, his work on Image restoration often relates to the realm of Space, thereby connecting several areas of interest.

He most often published in these fields:

  • Artificial intelligence (91.24%)
  • Computer vision (44.53%)
  • Pattern recognition (40.88%)

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

  • Artificial intelligence (91.24%)
  • Computer vision (44.53%)
  • Pattern recognition (40.88%)

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

Jia-Bin Huang mainly investigates Artificial intelligence, Computer vision, Pattern recognition, Consistency and Convolutional neural network. Leverage, Segmentation, View synthesis, Regularization and Real image are the core of his Artificial intelligence study. Jia-Bin Huang has included themes like Semi-supervised learning, Cluster analysis, Contextual image classification and Robustness in his Regularization study.

His Pattern recognition research is multidisciplinary, incorporating perspectives in Object detection and Feature. His Convolutional neural network research includes themes of Contrast, Noise, Motion blur and Reinforcement learning. His Image research integrates issues from Range, Recurrent neural network and Search algorithm.

Between 2019 and 2021, his most popular works were:

  • Diverse Image-to-Image Translation via Disentangled Representations (131 citations)
  • Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (47 citations)
  • 3D Photography Using Context-Aware Layered Depth Inpainting (33 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, Pattern recognition, Computer vision, Leverage and Generalization. His Artificial intelligence research focuses on View synthesis, Rendering, Discriminative model, Convolutional neural network and Feature. His Convolutional neural network study incorporates themes from Pixel, Similarity and Monocular.

His Pattern recognition research incorporates themes from Range and Face. Many of his research projects under Computer vision are closely connected to Flow, Completion and Content with Flow, Completion and Content, tying the diverse disciplines of science together. His Leverage research incorporates elements of Object detection, Feature extraction and Grayscale.

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.

Best Publications

Hierarchical Convolutional Features for Visual Tracking

Chao Ma;Jia-Bin Huang;Xiaokang Yang;Ming-Hsuan Yang.
international conference on computer vision (2015)

1316 Citations

Single image super-resolution from transformed self-exemplars

Jia-Bin Huang;Abhishek Singh;Narendra Ahuja.
computer vision and pattern recognition (2015)

1054 Citations

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution

Wei-Sheng Lai;Jia-Bin Huang;Narendra Ahuja;Ming-Hsuan Yang.
computer vision and pattern recognition (2017)

876 Citations

Diverse Image-to-Image Translation via Disentangled Representations

Hsin-Ying Lee;Hung-Yu Tseng;Jia-Bin Huang;Maneesh Kumar Singh.
european conference on computer vision (2018)

554 Citations

A Closer Look at Few-shot Classification.

Wei-Yu Chen;Yen-Cheng Liu;Zsolt Kira;Yu-Chiang Frank Wang.
international conference on learning representations (2019)

379 Citations

Unsupervised Representation Learning by Sorting Sequences

Hsin-Ying Lee;Jia-Bin Huang;Maneesh Singh;Ming-Hsuan Yang.
international conference on computer vision (2017)

292 Citations

Image completion using planar structure guidance

Jia-Bin Huang;Sing Bing Kang;Narendra Ahuja;Johannes Kopf.
international conference on computer graphics and interactive techniques (2014)

278 Citations

Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks

Wei-Sheng Lai;Jia-Bin Huang;Narendra Ahuja;Ming-Hsuan Yang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019)

248 Citations

Exploiting self-similarities for single frame super-resolution

Chih-Yuan Yang;Jia-Bin Huang;Ming-Hsuan Yang.
asian conference on computer vision (2010)

242 Citations

A Comparative Study for Single Image Blind Deblurring

Wei-Sheng Lai;Jia-Bin Huang;Zhe Hu;Narendra Ahuja.
computer vision and pattern recognition (2016)

221 Citations

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Best Scientists Citing Jia-Bin Huang

Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

Publications: 110

Luc Van Gool

Luc Van Gool

ETH Zurich

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Radu Timofte

Radu Timofte

ETH Zurich

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Wangmeng Zuo

Wangmeng Zuo

Harbin Institute of Technology

Publications: 47

Thomas S. Huang

Thomas S. Huang

University of Illinois at Urbana-Champaign

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Lei Zhang

Lei Zhang

Hong Kong Polytechnic University

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Xinbo Gao

Xinbo Gao

Chongqing University of Posts and Telecommunications

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Huchuan Lu

Huchuan Lu

Dalian University of Technology

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Fahad Shahbaz Khan

Fahad Shahbaz Khan

Zayed University

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Dacheng Tao

Dacheng Tao

University of Sydney

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Martin Danelljan

Martin Danelljan

ETH Zurich

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Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

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Haibin Ling

Haibin Ling

Stony Brook University

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Jan Kautz

Jan Kautz

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Michael Felsberg

Michael Felsberg

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In So Kweon

In So Kweon

Korea Advanced Institute of Science and Technology

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