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 34 Citations 5,349 134 World Ranking 6466 National Ranking 277

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

His scientific interests lie mostly in Artificial intelligence, Computer vision, Algorithm, Motion and Pattern recognition. His research in Pixel, Image segmentation, Image texture, Matching and Real image are components of Artificial intelligence. In his articles, Yee-Hong Yang combines various disciplines, including Computer vision and Process.

His work on Dynamic programming as part of his general Algorithm study is frequently connected to Noise sensitivity, thereby bridging the divide between different branches of science. His research integrates issues of Active contour model, Edge detection, Motion analysis and Pattern recognition in his study of Motion. His Pattern recognition study integrates concerns from other disciplines, such as Facial recognition system, Face, Invariant, Fourier transform and Three-dimensional face recognition.

His most cited work include:

  • Multiresolution color image segmentation (462 citations)
  • First Sight: A human body outline labeling system (159 citations)
  • The background primal sketch: an approach for tracking moving objects (131 citations)

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

His primary areas of study are Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Pixel. His Image, Image texture, Image segmentation, Stereopsis and Motion estimation study are his primary interests in Artificial intelligence. His research in Computer vision intersects with topics in Refraction and Computer graphics.

Yee-Hong Yang interconnects Local binary patterns, Invariant, Feature and Voxel in the investigation of issues within Pattern recognition. His work on Dynamic programming and Computation as part of general Algorithm research is frequently linked to Curve fitting, thereby connecting diverse disciplines of science. His Pixel research incorporates themes from Fourier transform, Graphics hardware and Cut.

He most often published in these fields:

  • Artificial intelligence (77.02%)
  • Computer vision (63.35%)
  • Pattern recognition (19.25%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (77.02%)
  • Computer vision (63.35%)
  • Pattern recognition (19.25%)

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

His primary scientific interests are in Artificial intelligence, Computer vision, Pattern recognition, 3D reconstruction and Amyotrophic lateral sclerosis. His study in Image, Convolutional neural network, Pixel, Deep learning and Object are all subfields of Artificial intelligence. His studies deal with areas such as Focus and Refraction as well as Computer vision.

His Pattern recognition study incorporates themes from Histogram and Regularization. His 3D reconstruction research is multidisciplinary, incorporating perspectives in Ground truth, Single camera and Camera resectioning. His work deals with themes such as Texture, Cerebral degeneration and Corticospinal tract, which intersect with Amyotrophic lateral sclerosis.

Between 2016 and 2021, his most popular works were:

  • Automated Colorization of a Grayscale Image With Seed Points Propagation (41 citations)
  • Human trajectory prediction in crowded scene using social-affinity Long Short-Term Memory (17 citations)
  • Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization (16 citations)

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

  • Artificial intelligence
  • Computer vision
  • Algorithm

Artificial intelligence, Computer vision, Pattern recognition, Grayscale and Synthetic aperture radar are his primary areas of study. His research links Focus with Artificial intelligence. His Computer vision research is multidisciplinary, relying on both Refraction and Cardinal point.

His Pattern recognition research is multidisciplinary, incorporating elements of Object and Sequence. The various areas that Yee-Hong Yang examines in his Grayscale study include Segmentation, Level set, Regularization, Cut and Robustness. His work carried out in the field of Synthetic aperture radar brings together such families of science as Camera auto-calibration, Inertial measurement unit, Homography and Plane at infinity.

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

Multiresolution color image segmentation

Jianqing Liu;Yee-Hong Yang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1994)

763 Citations

First Sight: A human body outline labeling system

M.K. Leung;Yee-Hong Yang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1995)

300 Citations

The background primal sketch: an approach for tracking moving objects

Yee-Hong Yang;Martin D. Levine.
machine vision applications (1992)

231 Citations

Stationary background generation: an alternative to the difference of two images

W. Long;Yee-Hong Yang.
Pattern Recognition (1990)

193 Citations

Near real-time reliable stereo matching using programmable graphics hardware

Minglun Gong;Yee-Hong Yang.
computer vision and pattern recognition (2005)

193 Citations

Region-Tree Based Stereo Using Dynamic Programming Optimization

Cheng Lei;J. Selzer;Yee-Hong Yang.
computer vision and pattern recognition (2006)

171 Citations

Face recognition approach based on rank correlation of Gabor-filtered images

Olugbenga Ayinde;Yee-Hong Yang.
Pattern Recognition (2002)

151 Citations

Theoretical analysis of illumination in PCA-based vision systems

Li Zhao;Yee-Hong Yang.
Pattern Recognition (1999)

142 Citations

Multiresolution texture segmentation with application to diagnostic ultrasound images

R. Muzzolini;Y.-H. Yang;R. Pierson.
IEEE Transactions on Medical Imaging (1993)

139 Citations

Human body motion segmentation in a complex scene

Maylor K. Leung;Yee-Hong Yang.
Pattern Recognition (1987)

131 Citations

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

Contact us

Best Scientists Citing Yee-Hong Yang

Yongsheng Gao

Yongsheng Gao

Griffith University

Publications: 20

Minglun Gong

Minglun Gong

University of Guelph

Publications: 20

Yanning Zhang

Yanning Zhang

Northwestern Polytechnical University

Publications: 13

Ruigang Yang

Ruigang Yang

Baidu (China)

Publications: 12

Tieniu Tan

Tieniu Tan

Chinese Academy of Sciences

Publications: 9

Kwanghoon Sohn

Kwanghoon Sohn

Yonsei University

Publications: 9

Nor Ashidi Mat Isa

Nor Ashidi Mat Isa

Universiti Sains Malaysia

Publications: 9

Weiming Hu

Weiming Hu

Chinese Academy of Sciences

Publications: 9

Adrian Hilton

Adrian Hilton

University of Surrey

Publications: 9

Vittorio Murino

Vittorio Murino

Italian Institute of Technology

Publications: 8

Katsushi Ikeuchi

Katsushi Ikeuchi

University of Tokyo

Publications: 8

Shaohua Wan

Shaohua Wan

Zhongnan University of Economics and Law

Publications: 7

Takashi Matsuyama

Takashi Matsuyama

Kyoto University

Publications: 7

Oliver Bimber

Oliver Bimber

Johannes Kepler University of Linz

Publications: 7

Mita Nasipuri

Mita Nasipuri

Jadavpur University

Publications: 7

Tomaso Poggio

Tomaso Poggio

MIT

Publications: 7

Something went wrong. Please try again later.