Tat-Jun Chin

5.3k citations
120 papers · 3.1k indexed · 2 hit papers · h-index 31

Impact in

    • Advanced Vision and Imaging
    • Advanced Image and Video Retrieval Techniques
    • Image and Object Detection Techniques
    • Advanced Neural Network Applications
  • Geology top 1%
    • 3D Surveying and Cultural Heritage

Papers in

    • Advanced Image and Video Retrieval Techniques 36
    • Advanced Vision and Imaging 29
    • Image and Object Detection Techniques 15
    • Video Surveillance and Tracking Methods 10
    • Face and Expression Recognition 9
    • Robotics and Sensor-Based Localization 52
    • Space Satellite Systems and Control 12

Tat-Jun Chin

109 papers receiving 3.0k citations

Hit Papers

As-Projective-As-Possible Image Stitching with Moving DLT 2014 · 278 citations
2782013202620172021100200300

Peers

Tat-Jun Chin
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 2.2k
  • Geology 343
  • Aerospace Engineering 1.5k
  • Media Technology 187
  • Artificial Intelligence 601
Replace Marius Muja with:
Marius Muja Canada
Rudolph Triebel Germany
Ji Zhao China
BoRui Wu United States
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Mongi A. Abidi United States
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Tat-Jun Chin relative to Marius Muja Canada Marius Muja's profile →
Citations per field
00.5×3.4×
Marius Muja · 1×
Citations per year

Countries citing papers authored by Tat-Jun Chin

Since Specialization
Citations

This map shows the geographic impact of Tat-Jun Chin'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 Tat-Jun Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tat-Jun Chin more than expected).

Fields of papers citing papers by Tat-Jun Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tat-Jun Chin. 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 Tat-Jun Chin. The network helps show where Tat-Jun Chin may publish in the future.

Co-authors

The 25 scholars most cited alongside Tat-Jun Chin, 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 Tat-Jun Chin Line = papers co-authored together Tat-Jun Chin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20240
5 20242
6 20241
7 20232
8 20231
9 20222
10 202248
11 202010
12 202019
13 20198
14 201940
15 201313
16
Improved wireless tracking using radio frequency and video sensors
20132
17
Matting-driven online learning of Hough forests for object tracking
20121
18
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC
201112
19 201188
20
The Ordered Residual Kernel for Robust Motion Subspace Clustering
200923

About Tat-Jun Chin

Tat-Jun Chin is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Artificial Intelligence and Media Technology, having authored 120 papers that have together received 3.1k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (52 papers), Advanced Image and Video Retrieval Techniques (36 papers), Advanced Vision and Imaging (29 papers), Image and Object Detection Techniques (15 papers), Space Satellite Systems and Control (12 papers), Machine Learning and Algorithms (10 papers), Video Surveillance and Tracking Methods (10 papers) and Face and Expression Recognition (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Geology (343 citations), Aerospace Engineering (1.5k citations), Media Technology (187 citations) and Artificial Intelligence (601 citations). Tat-Jun Chin has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include David Suter, Julio H. Zaragoza, Álvaro Parra, Michael S. Brown, Hanzi Wang, Anders Eriksson, Quoc-Huy Tran, Jin Yu, Michael S. Brown and Konrad Schindler. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Image Processing, Australasian Journal of Paramedicine and International Journal of Computer Vision.

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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