H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 51 Citations 12,546 130 World Ranking 2789 National Ranking 261

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Image

His scientific interests lie mostly in Artificial intelligence, Computer vision, Image, Pattern recognition and Pixel. His Planar research extends to Artificial intelligence, which is thematically connected. In his study, Virtual reality and Visibility is inextricably linked to Computer graphics, which falls within the broad field of Computer vision.

His Image research incorporates elements of Object, Boundary and Coherence. His Pattern recognition study which covers Feature that intersects with Sample. In his work, Luminance, Color image, Motion estimation and Leverage is strongly intertwined with Image segmentation, which is a subfield of Pixel.

His most cited work include:

  • Lazy snapping (1024 citations)
  • Poisson matting (542 citations)
  • Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures (395 citations)

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

Chi-Keung Tang focuses on Artificial intelligence, Computer vision, Pattern recognition, Image and Segmentation. His study brings together the fields of Algorithm and Artificial intelligence. His research on Computer vision often connects related areas such as Computer graphics.

His work deals with themes such as Real image, Feature, Deep learning and Face, which intersect with Pattern recognition. Chi-Keung Tang focuses mostly in the field of Image, narrowing it down to topics relating to Translation and, in certain cases, Hallucinating. The study incorporates disciplines such as Image processing and Artificial neural network in addition to Pixel.

He most often published in these fields:

  • Artificial intelligence (82.94%)
  • Computer vision (52.35%)
  • Pattern recognition (24.71%)

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

  • Artificial intelligence (82.94%)
  • Pattern recognition (24.71%)
  • Segmentation (15.29%)

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

Chi-Keung Tang mostly deals with Artificial intelligence, Pattern recognition, Segmentation, Computer vision and Object. As part of one scientific family, Chi-Keung Tang deals mainly with the area of Artificial intelligence, narrowing it down to issues related to the Machine learning, and often Thumbnail. Chi-Keung Tang has researched Pattern recognition in several fields, including Character recognition, Character, Feature and Chinese characters.

Many of his research projects under Segmentation are closely connected to Bicubic interpolation, Occlusion and Network layer with Bicubic interpolation, Occlusion and Network layer, tying the diverse disciplines of science together. His Computer vision study focuses on Feature extraction in particular. His Video tracking and Object detection study in the realm of Object connects with subjects such as Code and Decoupling.

Between 2018 and 2021, his most popular works were:

  • Adversarial Attacks Beyond the Image Space (64 citations)
  • Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector (52 citations)
  • LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup (20 citations)

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

  • Artificial intelligence
  • Computer vision
  • Geometry

His primary areas of investigation include Artificial intelligence, Pattern recognition, Deep learning, Similarity and Relation. With his scientific publications, his incorporates both Artificial intelligence and Consistency. His studies deal with areas such as Theoretical computer science, Artificial neural network, Pixel, Question answering and Visibility as well as Deep learning.

Chi-Keung Tang has included themes like Range, Object detection, Detector and Shot in his Similarity study. His Adversarial system research includes elements of Machine learning, Face, Image, Differentiable function and Rendering. His work in the fields of Segmentation, such as Image segmentation, intersects with other areas such as Bicubic interpolation.

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

Lazy snapping

Yin Li;Jian Sun;Chi-Keung Tang;Heung-Yeung Shum.
international conference on computer graphics and interactive techniques (2004)

1533 Citations

Poisson matting

Jian Sun;Jiaya Jia;Chi-Keung Tang;Heung-Yeung Shum.
international conference on computer graphics and interactive techniques (2004)

783 Citations

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Hengyuan Hu;Rui Peng;Yu-Wing Tai;Chi-Keung Tang.
arXiv: Neural and Evolutionary Computing (2016)

604 Citations

A Computational Framework for Segmentation and Grouping

Gerard Medioni;Mi-Suen Lee;Chi-Keung Tang.
(2000)

556 Citations

KNN matting

Qifeng Chen;Dingzeyu Li;Chi-Keung Tang.
computer vision and pattern recognition (2012)

385 Citations

Stereo reconstruction from multiperspective panoramas

Yin Li;Heung-Yeung Shum;Chi-Keung Tang;R. Szeliski.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2004)

384 Citations

Local color transfer via probabilistic segmentation by expectation-maximization

Yu-Wing Tai;Jiaya Jia;Chi-Keung Tang.
computer vision and pattern recognition (2005)

379 Citations

Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis

Zhouchen Lin;Junfeng He;Xiaoou Tang;Chi-Keung Tang.
Pattern Recognition (2009)

367 Citations

Make it home: automatic optimization of furniture arrangement

Lap-Fai Yu;Sai-Kit Yeung;Chi-Keung Tang;Demetri Terzopoulos.
international conference on computer graphics and interactive techniques (2011)

333 Citations

Fast image/video upsampling

Qi Shan;Zhaorong Li;Jiaya Jia;Chi-Keung Tang.
international conference on computer graphics and interactive techniques (2008)

329 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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