Dar-Shyang Lee

1.6k citations
32 papers · 1.3k · 1 hit paper · h-index 14

Impact in

    • Video Surveillance and Tracking Methods
    • Advanced Vision and Imaging
    • Advanced Image and Video Retrieval Techniques
    • Handwritten Text Recognition Techniques
    • Image Enhancement Techniques
    • Video Analysis and Summarization
    • Human Pose and Action Recognition

Papers in

Dar-Shyang Lee

30 papers receiving 1.2k citations

Dar-Shyang Lee's Hit Papers

Effective Gaussian mixture learning for video background subtraction 2005 · 680 citations
6800+7+14Years since publication200400600

Peers

Dar-Shyang Lee
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 1.1k
  • Media Technology 143
  • Signal Processing 104
  • Artificial Intelligence 298
  • Safety, Risk, Reliability and Quality 74
Replace Yao Lu with:
Yao Lu China
Hefei Ling China
Shixiong Xia China
Dehui Kong China
Mrigank Rochan Canada
Zhenjiang Miao China
Benjamin Höferlin Germany
Supavadee Aramvith Thailand
Jingyong Su China
Dar-Shyang Lee relative to Yao Lu China Yao Lu's profile →
Citations per field
00.5×1.7×
Yao Lu · 1×
Citations per year

Countries citing papers authored by Dar-Shyang Lee

Since Specialization
Citations

This map shows the geographic impact of Dar-Shyang Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dar-Shyang Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dar-Shyang Lee more than expected).

Fields of papers citing papers by Dar-Shyang Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dar-Shyang Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dar-Shyang Lee. The network helps show where Dar-Shyang Lee may publish in the future.

Co-authors

The 15 scholars most cited alongside Dar-Shyang Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dar-Shyang Lee Line = papers co-authored together Dar-Shyang Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effective Gaussian mixture learning for video background subtraction
Hit paper breakdown →
2005680
2 200492
3 200990
4 200260
5 200259
6 199835
7 199630
8 201624
9 200221
10 200320
11 200416
12
Improved Adaptive Mixture Learning for Robust Video Background Modeling.
200214
13
Neural network models and their application to handwritten digit recognition.
198814
14 199914
15 200213
16 200212
17 200311
18 20129
19 20038
20 20026

About Dar-Shyang Lee

Dar-Shyang Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Sociology and Political Science and Media Technology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (12 papers), Video Analysis and Summarization (11 papers), Music and Audio Processing (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Video Surveillance and Tracking Methods (5 papers), Multimedia Communication and Technology (4 papers), Algorithms and Data Compression (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (143 citations), Signal Processing (104 citations), Artificial Intelligence (298 citations) and Safety, Risk, Reliability and Quality (74 citations). Dar-Shyang Lee has collaborated with scholars based in United States and Japan. Frequent co-authors include Sargur N. Srihari, J.J. Hull, Ray Smith, B. Erol, Jonathan J. Hull, Jamey Graham, Henry S. Baird, Yongchul Shin, Ranjith Unnikrishnan and Julian Ibarz. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters, Machine Vision and Applications, Proceedings of the IEEE and Lecture notes in computer science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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