World's Best Scientists 2026 revealed!

Overview

Jar-Ferr Yang is affiliated with National Cheng Kung University in Taiwan, with a primary research focus in the field of Computer Science. Their work emphasizes Computer Vision and Pattern Recognition, covering a broad range of topics related to advanced imaging and video processing.

The main fields of study in which Jar-Ferr Yang has contributed include:

  • Computer Vision and Pattern Recognition
  • Media Technology
  • Automotive Engineering
  • Sociology and Political Science
  • Artificial Intelligence

The scientist's research spans several main topics, particularly within imaging and neural networks, such as:

  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Image Processing Techniques and Applications
  • Advanced Neural Network Applications
  • Video Analysis and Summarization
  • Video Surveillance and Tracking Methods

Jar-Ferr Yang has published research in a variety of technical venues. Frequent publication venues include:

  • 2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
  • Research Square (Research Square)
  • EURASIP Journal on Image and Video Processing
  • IET Computer Vision
  • IEEE Systems Journal

Selected recent papers authored or co-authored by Jar-Ferr Yang illustrate the scope of their research interests:

  • "Enhancing Fan Engagement in a 5G Stadium With AI-Based Technologies and Live Streaming", 2022, IEEE Systems Journal
  • "Shape-reserved stereo matching with segment-based cost aggregation and dual-path refinement", 2020, EURASIP Journal on Image and Video Processing
  • "Improved quadruple sparse census transform and adaptive multi-shape aggregation algorithms for precise stereo matching", 2021, IET Computer Vision
  • "Improved vehicle detection systems with double-layer LSTM modules", 2022, EURASIP Journal on Advances in Signal Processing
  • "An image-guided network for depth edge enhancement", 2022, EURASIP Journal on Image and Video Processing

Collaborative efforts form an important part of Jar-Ferr Yang's research activity. Frequent co-authors include:

  • Wei-Jong Yang
  • Kuo-Cheng Tu
  • Yen-Ting Chen
  • Wan-Ju Liow
  • Shao-Fu Chen

Best Publications

  • Source number estimators using transformed Gerschgorin radii

    Hsien-Tsai Wu;Jar-Ferr Yang;Fwu-Kuen Chen

  • Adaptive eigensubspace algorithms for direction or frequency estimation and tracking

    J.-F. Yang;M. Kaveh

  • A Fast Mode Decision Algorithm and Its VLSI Design for H.264/AVC Intra-Prediction

    Jia-Ching Wang;Jhing-Fa Wang;Jar-Ferr Yang;Jang-Ting Chen

  • Combined techniques of singular value decomposition and vector quantization for image coding

    Jar-Ferr Yang;Chiou-Liang Lu

  • Enhanced Intra-4 $,times,$ 4 Mode Decision for H.264/AVC Coders

    Chao-Hsuing Tseng;Hung-Ming Wang;Jar-Ferr Yang

  • Efficient rate-distortion estimation for H.264/AVC coders

    Yu-Kuang Tu;Jar-Ferr Yang;Ming-Ting Sun

  • Fast variable-size block motion estimation using merging procedure with an adaptive threshold

    Yu-Kuang Tu;Jar-Ferr Yang;Yi-Nung Shen;Ming-Ting Sun

  • Source number estimator using Gerschgorin disks

    Hsien-Tsai Wu;Jar-Ferr Yang;Fwu-Kuen Chen

  • Computation reduction for motion search in low rate video coders

    Jar-Ferr Yang;Shih-Cheng Chang;Chin-Yun Chen

  • Effective Subblock-Based and Pixel-Based Fast Direction Detections for H.264 Intra Prediction

    An-Chao Tsai;Jhing-Fa Wang;Jar-Ferr Yang;Wei-Guang Lin

  • Improved Principal Component Regression for Face Recognition Under Illumination Variations

    Shih-Ming Huang;Jar-Ferr Yang

  • Linear Discriminant Regression Classification for Face Recognition

    Shih-Ming Huang;Jar-Ferr Yang

  • Combined 2-D transform and quantization architectures for H.264 video coders

    Heng-Yao Lin;Yi-Chih Chao;Che-Hong Chen;Bin-Da Liu

  • Parallel Reconfigurable Computing-Based Mapping Algorithm for Motion Estimation in Advanced Video Coding

    Anand Paul;Yung-Chuan Jiang;Jhing-Fa Wang;Jar-Ferr Yang

  • Color image segmentation using fuzzy C-means and eigenspace projections

    Jar-Ferr Yang;Shu-Sheng Hao;Pau-Choo Chung

  • Recursive architectures for realizing modified discrete cosine transform and its inverse

    Che-Hong Chen;Bin-Da Liu;Jar-Ferr Yang

  • High throughput 2-D transform architectures for H.264 advanced video coders

    Zhan-Yuan Cheng;Che-Hong Chen;Bin-Da Liu;Jar-Ferr Yang

  • Superimposed Sparse Parameter Classifiers for Face Recognition

    Qingxiang Feng;Chun Yuan;Jeng-Shyang Pan;Jar-Ferr Yang

  • Adaptive group-of-pictures and scene change detection methods based on existing H.264 advanced video coding information

    Jun-Ren Ding;Jar-Ferr Yang

  • IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY Editor-in-Chief

    Chang Wen Chen;Hamid Gharavi;Thomas Sikora;Ishfaq Ahmad

Frequent Co-Authors

Pau-Choo Chung
Pau-Choo Chung National Cheng Kung University
Mostafa Kaveh
Mostafa Kaveh University of Minnesota
Ming-Ting Sun
Ming-Ting Sun University of Washington
Anand Paul
Anand Paul Kyungpook National University
Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Shipeng Li
Shipeng Li Chinese University of Hong Kong, Shenzhen
M.N.S. Swamy
M.N.S. Swamy Concordia University
Eckehard Steinbach
Eckehard Steinbach Technical University of Munich
Mostafa Fatemi
Mostafa Fatemi Mayo Clinic

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