Q.-T. Luong
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Media Technology top 5%
- Automotive Engineering top 10%
- Geology top 10%
- Co-authors
- Olivier FaugerasThierry ViévilleJitendra MalikDaniela KollerJoseph WeberPascal FuaY.G. LeclercYvan G. Leclerc
- Topics
- Advanced Vision and Imaging (17 papers)Optical measurement and interference techniques (9 papers)Image and Object Detection Techniques (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionComputer Vision and Image Understanding
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Q.-T. Luong
19 papers receiving 511 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 522
- Aerospace Engineering 213
- Media Technology 120
- Automotive Engineering 68
- Geology 49
Countries citing papers authored by Q.-T. Luong
This map shows the geographic impact of Q.-T. Luong'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 Q.-T. Luong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Q.-T. Luong more than expected).
Fields of papers citing papers by Q.-T. Luong
This network shows the impact of papers produced by Q.-T. Luong. 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 Q.-T. Luong. The network helps show where Q.-T. Luong may publish in the future.
Co-authorship network of co-authors of Q.-T. Luong
This figure shows the co-authorship network connecting the top 25 collaborators of Q.-T. Luong. A scholar is included among the top collaborators of Q.-T. Luong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Q.-T. Luong. Q.-T. Luong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 17 | |
| 9 | 11 | |
| 10 | 10 | |
| 11 | 28 | |
| 12 | 76 | |
| 13 | 6 | |
| 14 | Self-Consistency: A Novel Approach to Characterizing the Accuracy and Reliability of Point-Correspondence Algorithms | 18 |
| 15 | 6 | |
| 16 | 279 | |
| 17 | 85 | |
| 18 | 3 | |
| 19 | Canonic representations for the geometries of project views | 3 |
| 20 | Active head movements help solve stereo correspondence | 2 |
About Q.-T. Luong
Q.-T. Luong is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 20 papers that have together received 575 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (17 papers), Optical measurement and interference techniques (9 papers) and Image and Object Detection Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (522 citations), Media Technology (120 citations) and Geology (49 citations). Q.-T. Luong has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Olivier Faugeras, Thierry Viéville, Jitendra Malik, Daniela Koller, Joseph Weber, Pascal Fua, Y.G. Leclerc, Yvan G. Leclerc, C. Papadas and H. Harlyn Baker. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Computer Vision and Image Understanding.
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.