Gi Pyo Nam

430 total citations
27 papers, 306 citations indexed

About

Gi Pyo Nam is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Gi Pyo Nam has authored 27 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Gi Pyo Nam's work include Face recognition and analysis (8 papers), Music and Audio Processing (7 papers) and Biometric Identification and Security (6 papers). Gi Pyo Nam is often cited by papers focused on Face recognition and analysis (8 papers), Music and Audio Processing (7 papers) and Biometric Identification and Security (6 papers). Gi Pyo Nam collaborates with scholars based in South Korea, India and United States. Gi Pyo Nam's co-authors include Kang Ryoung Park, Ig-Jae Kim, Kang Park, Ki Hyun Kim, Hyung Hong, Heeseung Choi, Junghyun Cho, Kwang Yong Shin, Byung Jun Kang and Debi Prosad Dogra and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors.

In The Last Decade

Gi Pyo Nam

24 papers receiving 288 citations

Peers

Gi Pyo Nam
Insaf Adjabi Algeria
Gi Pyo Nam
Citations per year, relative to Gi Pyo Nam Gi Pyo Nam (= 1×) peers Insaf Adjabi

Countries citing papers authored by Gi Pyo Nam

Since Specialization
Citations

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

Fields of papers citing papers by Gi Pyo Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gi Pyo Nam. 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 Gi Pyo Nam. The network helps show where Gi Pyo Nam may publish in the future.

Co-authorship network of co-authors of Gi Pyo Nam

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

All Works

20 of 20 papers shown
2.
Kim, Ig-Jae, et al.. (2025). Navigating Label Ambiguity for Facial Expression Recognition in the Wild. Proceedings of the AAAI Conference on Artificial Intelligence. 39(4). 4517–4525. 1 indexed citations
3.
Ahn, Dong H., et al.. (2025). Where and What: Contextual Dynamics-Aware Anomaly Detection in Surveillance Videos. IEEE Transactions on Image Processing. 34. 6993–7007.
4.
Nam, Gi Pyo, et al.. (2024). Integrating Pretrained Encoders for Generalized Face Frontalization. IEEE Access. 12. 43530–43539. 1 indexed citations
5.
Dogra, Debi Prosad, et al.. (2022). Detection of Road Accidents Using Synthetically Generated Multi-Perspective Accident Videos. IEEE Transactions on Intelligent Transportation Systems. 1–10. 15 indexed citations
6.
Kim, Min‐Soo, et al.. (2021). A 3d Model-Based Approach For Fitting Masks To Faces In The Wild. 235–239. 8 indexed citations
7.
Choi, Sung‐Eun, et al.. (2020). Adaptive 3D Model-Based Facial Expression Synthesis and Pose Frontalization. Sensors. 20(9). 2578–2578. 1 indexed citations
8.
Nam, Gi Pyo, et al.. (2020). DEFace: Deep Efficient Face Network for Small Scale Variations. IEEE Access. 8. 142423–142433. 15 indexed citations
9.
Sekh, Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, et al.. (2019). Query-Based Video Synopsis for Intelligent Traffic Monitoring Applications. IEEE Transactions on Intelligent Transportation Systems. 21(8). 3457–3468. 29 indexed citations
10.
Nam, Gi Pyo, et al.. (2017). A Novel Framework for Assessing Facial Attractiveness Based on Facial Proportions. Symmetry. 9(12). 294–294. 11 indexed citations
11.
Nam, Gi Pyo, Kwang Yong Shin, Dat Tien Nguyen, et al.. (2015). Periocular-based biometrics robust to eye rotation based on polar coordinates. Multimedia Tools and Applications. 76(9). 11177–11197. 10 indexed citations
12.
Nam, Gi Pyo & Kang Ryoung Park. (2015). Fast Query-by-Singing/Humming System That Combines Linear Scaling and Quantized Dynamic Time Warping Algorithm. International Journal of Distributed Sensor Networks. 11(6). 176091–176091. 3 indexed citations
13.
Nam, Gi Pyo & Kang Park. (2015). Multi-Classifier Based on a Query-by-Singing/Humming System. Symmetry. 7(2). 994–1016. 1 indexed citations
14.
Hong, Hyung, et al.. (2014). New System for Tracking a Device for Diagnosing Scalp Skin. Sensors. 14(4). 6516–6534. 1 indexed citations
15.
Pham, Tuyen Danh, Gi Pyo Nam, Kwang Yong Shin, & Kang Ryoung Park. (2013). A Novel Query-by-Singing/Humming Method by Estimating Matching Positions Based on Multi-layered Perceptron. KSII Transactions on Internet and Information Systems. 7(7). 1657–1670. 2 indexed citations
16.
Shin, Kwang Yong, et al.. (2011). New iris recognition method for noisy iris images. Pattern Recognition Letters. 33(8). 991–999. 48 indexed citations
17.
Nam, Gi Pyo, et al.. (2010). An Study on Query by Humming System. 대한전자공학회 학술대회. 127–130. 1 indexed citations
18.
Nam, Gi Pyo. (2010). Robustness of Face Recognition to Variations of Illumination on Mobile Devices Based on SVM. KSII Transactions on Internet and Information Systems. 25–44. 12 indexed citations
19.
Nam, Gi Pyo, et al.. (2009). A Study on the Implementation of the System of Content-based Retrieval of Music Data. Journal of Korea Multimedia Society. 12(11). 1581–1592. 1 indexed citations
20.
Nam, Gi Pyo, et al.. (2009). Intelligent Query by Humming System. 11. 1–6. 3 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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