Quoc-Huy Tran

1.0k total citations · 1 hit paper
11 papers, 497 citations indexed

About

Quoc-Huy Tran is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Quoc-Huy Tran has authored 11 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Quoc-Huy Tran's work include Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Quoc-Huy Tran is often cited by papers focused on Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (5 papers) and Anomaly Detection Techniques and Applications (4 papers). Quoc-Huy Tran collaborates with scholars based in United States, Singapore and Australia. Quoc-Huy Tran's co-authors include Tat-Jun Chin, David Suter, Julio H. Zaragoza, Michael S. Brown, Manmohan Chandraker, M. Zeeshan Zia, Gregory D. Hager, Chi Li, Xiang Yu and Bingbing Zhuang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Quoc-Huy Tran

10 papers receiving 465 citations

Hit Papers

As-Projective-As-Possible... 2014 2026 2018 2022 2014 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. As-Projective-As-Possible Image Stitching with Moving DLT
    2014 278 citations Julio H. Zaragoza, Tat-Jun Chin et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Quoc-Huy Tran United States 8 438 207 61 41 20 11 497
Eduard Trulls Switzerland 9 476 1.1× 279 1.3× 63 1.0× 28 0.7× 46 2.3× 12 562
Minh-Tri Pham United Kingdom 10 320 0.7× 124 0.6× 54 0.9× 26 0.6× 36 1.8× 15 390
Federico Pernici Italy 11 331 0.8× 118 0.6× 57 0.9× 21 0.5× 42 2.1× 34 407
Ajad Chhatkuli Switzerland 12 208 0.5× 106 0.5× 53 0.9× 10 0.2× 25 1.3× 21 267
Ignacio Rocco United Kingdom 7 761 1.7× 547 2.6× 55 0.9× 56 1.4× 89 4.5× 10 867
Chanop Silpa-Anan Australia 5 450 1.0× 183 0.9× 82 1.3× 46 1.1× 18 0.9× 6 533
Oliver Wasenmüller Germany 9 189 0.4× 122 0.6× 26 0.4× 19 0.5× 53 2.6× 29 280
Kwon Junghyun South Korea 9 273 0.6× 101 0.5× 72 1.2× 30 0.7× 12 0.6× 23 366
C. Rothwell United Kingdom 8 488 1.1× 179 0.9× 14 0.2× 53 1.3× 24 1.2× 12 549
A. Aydın Alatan Türkiye 15 728 1.7× 109 0.5× 40 0.7× 103 2.5× 8 0.4× 71 766

Countries citing papers authored by Quoc-Huy Tran

Since Specialization
Citations

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

Fields of papers citing papers by Quoc-Huy Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quoc-Huy Tran. 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 Quoc-Huy Tran. The network helps show where Quoc-Huy Tran may publish in the future.

Co-authorship network of co-authors of Quoc-Huy Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Quoc-Huy Tran. A scholar is included among the top collaborators of Quoc-Huy Tran 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 Quoc-Huy Tran. Quoc-Huy Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Usama, Muhammad, et al.. (2024). Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion. 1048–1055.
2.
Tran, Quoc-Huy, et al.. (2024). Permutation-Aware Activity Segmentation via Unsupervised Frame-to-Segment Alignment. 6412–6422. 3 indexed citations
3.
Tran, Quoc-Huy, et al.. (2022). Timestamp-Supervised Action Segmentation with Graph Convolutional Networks. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 10619–10626. 13 indexed citations
4.
Gilani, Hasan, et al.. (2022). AI-mediated Job Status Tracking in AR as a No-Code service. 2 indexed citations
5.
Ahmed, Awais, et al.. (2022). Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 20142–20153. 27 indexed citations
6.
Zhuang, Bingbing, Quoc-Huy Tran, Pan Ji, Loong‐Fah Cheong, & Manmohan Chandraker. (2019). Learning Structure-And-Motion-Aware Rolling Shutter Correction. 4546–4555. 34 indexed citations
7.
Zhuang, Bingbing, Quoc-Huy Tran, Gim Hee Lee, Loong Fah Cheong, & Manmohan Chandraker. (2019). Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM. 3766–3773. 11 indexed citations
8.
Li, Chi, M. Zeeshan Zia, Quoc-Huy Tran, et al.. (2018). Deep Supervision with Intermediate Concepts. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(8). 1828–1843. 58 indexed citations
9.
Li, Chi, M. Zeeshan Zia, Quoc-Huy Tran, et al.. (2017). Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing. 388–397. 56 indexed citations
10.
Tran, Quoc-Huy, et al.. (2016). A Continuous Occlusion Model for Road Scene Understanding. 4331–4339. 15 indexed citations
11.
Zaragoza, Julio H., Tat-Jun Chin, Quoc-Huy Tran, Michael S. Brown, & David Suter. (2014). As-Projective-As-Possible Image Stitching with Moving DLT. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(7). 1285–1298. 278 indexed citations breakdown →

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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