D-Index & Metrics Best Publications
Hong-Yuan Mark Liao

Hong-Yuan Mark Liao

D-Index & Metrics 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.

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 44 Citations 11,833 216 World Ranking 4714 National Ranking 30

Overview

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

Many of his studies on Geometry apply to Point (geometry) and Orientation (vector space) as well. In his papers, Hong-Yuan Mark Liao integrates diverse fields, such as Point (geometry) and Geometry. Combining a variety of fields, including Digital watermarking, Watermark and Copy protection, are what the author presents in his essays. He conducts interdisciplinary study in the fields of Watermark and Digital watermarking through his research. In his articles, he combines various disciplines, including Artificial intelligence and Data mining. He performs integrative study on Data mining and Artificial intelligence in his works. Computer vision connects with themes related to Noise (video) in his study. Hong-Yuan Mark Liao frequently studies issues relating to Image (mathematics) and Noise (video). His Image (mathematics) study frequently involves adjacent topics like Copy protection.

Hong-Yuan Mark Liao most often published in these fields:

  • Artificial intelligence (75.00%)
  • Geometry (50.00%)
  • Pattern recognition (psychology) (50.00%)

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

YOLOv4: Optimal Speed and Accuracy of Object Detection

Alexey Bochkovskiy;Chien-Yao Wang;Hong-Yuan Mark Liao.
arXiv: Computer Vision and Pattern Recognition (2020)

2093 Citations

A new LDA-based face recognition system which can solve the small sample size problem

Li-Fen Chen;Hong-Yuan Mark Liao;Ming-Tat Ko;Ja-Chen Lin.
Pattern Recognition (2000)

1807 Citations

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

Chien-Yao Wang;Hong-Yuan Mark Liao;Yueh-Hua Wu;Ping-Yang Chen.
computer vision and pattern recognition (2020)

822 Citations

Multipurpose watermarking for image authentication and protection

Chun-Shien Lu;H.-Y.M. Liao.
IEEE Transactions on Image Processing (2001)

633 Citations

Structural digital signature for image authentication: an incidental distortion resistant scheme

Chun-Shien Lu;H.-Y.M. Liao.
IEEE Transactions on Multimedia (2003)

506 Citations

A new LDA-based face recognition system which can solve the small sample size problem

Li Fen Chen;Hong Yuan Mark Liao;Ming Tat Ko;Chih-Ching Lin.
computer vision and pattern recognition (1998)

369 Citations

Cocktail watermarking for digital image protection

Chun-Shien Lu;Shih-Kun Huang;Chwen-Jye Sze;Hong-Yuan Mark Liao.
IEEE Transactions on Multimedia (2000)

313 Citations

Facial feature detection using geometrical face model: An efficient approach

Shi-Hong Jeng;Hong Yuan Mark Liao;Hong Yuan Mark Liao;Chin Chuan Han;Ming Yang Chern.
Pattern Recognition (1998)

290 Citations

Fast face detection via morphology-based pre-processing ☆

Chin-Chuan Han;Hong-Yuan Mark Liao;Gwo-Jong Yu;Liang-Hua Chen.
Pattern Recognition (2000)

248 Citations

Image Registration Using a New Edge-Based Approach

Jun-Wei Hsieh;Hong-Yuan Mark Liao;Kuo-Chin Fan;Ming-Tat Ko.
Computer Vision and Image Understanding (1997)

237 Citations

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