Luan Tran

3.1k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Luan Tran is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Luan Tran has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Luan Tran's work include Face recognition and analysis (6 papers), Biometric Identification and Security (3 papers) and Face and Expression Recognition (3 papers). Luan Tran is often cited by papers focused on Face recognition and analysis (6 papers), Biometric Identification and Security (3 papers) and Face and Expression Recognition (3 papers). Luan Tran collaborates with scholars based in United States, Vietnam and Japan. Luan Tran's co-authors include Xiaoming Liu, Xi Yin, Feng Liu, Xiaoming Liu, Rong Jin, Jiayu Zhou, Ziyuan Zhang, Bangjie Yin, Xiaohui Shen and Haoxiang Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Luan Tran

14 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

2017 611 citations Luan Tran, Xi Yin et al. profile →

Peers

Luan Tran

CVPR

AI

SP

CM

BE

Iacopo Masi Italy

Luoqi Liu China

Wayne Wu China

Rohit Girdhar United States

Avinash Ravichandran United States

Jianshu Li China

Hedi Tabia France

Gautham J. Mysore United States

Baoyuan Wang China

Songfan Yang United States

Iacopo Masi Italy

Luan Tran

2.0k ×1.8

CVPR

237 ×0.8

AI

517 ×2.0

SP

230 ×1.6

CM

234 ×1.7

BE

Citations per year, relative to Luan Tran Luan Tran (= 1×) peers Iacopo Masi

Countries citing papers authored by Luan Tran

Since Specialization

Citations

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

Fields of papers citing papers by Luan Tran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luan Tran

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

All Works

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15 of 15 papers shown

1.

Tran, Luan, et al.. (2023). Stress Prediction Using Machine-Learning Techniques on Physiological Signals. 1–7.

2.

He, Kun, et al.. (2023). AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation. 12999–13008. 27 indexed citations

3.

Liu, Feng, Luan Tran, & Xiaoming Liu. (2021). Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction. 7419–7429. 9 indexed citations

4.

Zhang, Ziyuan, Luan Tran, Feng Liu, & Xiaoming Liu. (2020). On Learning Disentangled Representations for Gait Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(1). 345–360. 98 indexed citations

5.

Yin, Bangjie, Luan Tran, Haoxiang Li, Xiaohui Shen, & Xiaoming Liu. (2019). Towards Interpretable Face Recognition. 9347–9356. 59 indexed citations

6.

Tran, Luan, Feng Liu, & Xiaoming Liu. (2019). Towards High-Fidelity Nonlinear 3D Face Morphable Model. 109 indexed citations

7.

Tran, Luan & Xiaoming Liu. (2019). On Learning 3D Face Morphable Model from In-the-Wild Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(1). 157–171. 85 indexed citations

8.

Tran, Luan, Kihyuk Sohn, Yu Xiang, Xiaoming Liu, & Manmohan Chandraker. (2019). Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild. 2667–2676. 32 indexed citations

9.

Tran, Luan, Xi Yin, & Xiaoming Liu. (2018). Representation Learning by Rotating Your Faces. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(12). 3007–3021. 107 indexed citations

10.

Morris, Daniel, et al.. (2018). Remote detection and measurement of limb tremors. 42. 198–202. 2 indexed citations

11.

Chowdhury, Anurag, Yousef Atoum, Luan Tran, Xiaoming Liu, & Arun Ross. (2018). MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos. 3567–3573. 16 indexed citations

12.

Tran, Luan, Xi Yin, & Xiaoming Liu. (2017). Disentangled Representation Learning GAN for Pose-Invariant Face Recognition. 1283–1292. 611 indexed citations breakdown →

13.

Tran, Luan, Xiaoming Liu, Jiayu Zhou, & Rong Jin. (2017). Missing Modalities Imputation via Cascaded Residual Autoencoder. 4971–4980. 150 indexed citations

14.

Tran, Luan, et al.. (2015). Optimizing Genetic Algorithm in Feature Selection for Named Entity Recognition. 11–16. 4 indexed citations

15.

Tran, Luan, et al.. (2013). Automatic feature selection for named entity recognition using genetic algorithm. 81–87. 5 indexed citations

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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