Giljoo Nam

794 total citations
20 papers, 484 citations indexed

About

Giljoo Nam is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Giljoo Nam has authored 20 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Computer Graphics and Computer-Aided Design and 7 papers in Computational Mechanics. Recurrent topics in Giljoo Nam's work include Computer Graphics and Visualization Techniques (10 papers), Advanced Vision and Imaging (9 papers) and 3D Shape Modeling and Analysis (6 papers). Giljoo Nam is often cited by papers focused on Computer Graphics and Visualization Techniques (10 papers), Advanced Vision and Imaging (9 papers) and 3D Shape Modeling and Analysis (6 papers). Giljoo Nam collaborates with scholars based in South Korea, United States and Canada. Giljoo Nam's co-authors include Min H. Kim, Diego Gutiérrez, Daniel S. Jeon, Inchang Choi, Joo Ho Lee, Chenglei Wu, Yaser Sheikh, Shunsuke Saito, Gabriel Schwartz and Hongzhi Wu and has published in prestigious journals such as ACM Transactions on Graphics, Neural Networks and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Giljoo Nam

18 papers receiving 464 citations

Peers

Giljoo Nam
Tizian Zeltner Switzerland
Soheil Darabi United States
Gurunandan Krishnan United States
Inchang Choi South Korea
Yingge Qu Hong Kong
Claude Knaus Switzerland
Dikpal Reddy United States
Ling‐Qi Yan United States
Tizian Zeltner Switzerland
Giljoo Nam
Citations per year, relative to Giljoo Nam Giljoo Nam (= 1×) peers Tizian Zeltner

Countries citing papers authored by Giljoo Nam

Since Specialization
Citations

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

Fields of papers citing papers by Giljoo Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giljoo Nam

This figure shows the co-authorship network connecting the top 25 collaborators of Giljoo Nam. A scholar is included among the top collaborators of Giljoo 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 Giljoo Nam. Giljoo 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
1.
Nam, Giljoo, et al.. (2025). Insightful Instance Features for 3D Instance Segmentation. 14057–14067. 1 indexed citations
2.
Nam, Giljoo, et al.. (2024). A Local Appearance Model for Volumetric Capture of Diverse Hairstyles. 190–200. 1 indexed citations
3.
Nam, Giljoo, et al.. (2024). FaceMap: Distortion-Driven Perceptual Facial Saliency Maps. 1–11. 1 indexed citations
4.
Nam, Giljoo, et al.. (2024). Differentiable Display Photometric Stereo. 11831–11840. 3 indexed citations
5.
Saito, Shunsuke, et al.. (2024). InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion. 527–537. 4 indexed citations
6.
Nam, Giljoo, et al.. (2024). Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior. 20644–20653. 2 indexed citations
7.
Saito, Shunsuke, Gabriel Schwartz, Tomas Simon, Junxuan Li, & Giljoo Nam. (2024). Relightable Gaussian Codec Avatars. 130–141. 33 indexed citations
8.
Jarabo, Adrián, et al.. (2023). Accelerating Hair Rendering by Learning High‐Order Scattered Radiance. Computer Graphics Forum. 42(4). 1 indexed citations
9.
Nam, Giljoo, et al.. (2023). Event fusion photometric stereo network. Neural Networks. 167. 141–158.
10.
Saito, Shunsuke, et al.. (2023). CT2Hair: High-Fidelity 3D Hair Modeling using Computed Tomography. ACM Transactions on Graphics. 42(4). 1–13. 13 indexed citations
11.
Wang, Ziyan, Giljoo Nam, Stephen Lombardi, et al.. (2023). NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation. 8641–8651. 10 indexed citations
12.
Sun, Tiancheng, et al.. (2021). Human Hair Inverse Rendering using Multi-View Photometric data. Eurographics. 6 indexed citations
13.
Baek, Seung‐Hwan, et al.. (2020). Progressive Acquisition of SVBRDF and Shape in Motion. Computer Graphics Forum. 39(6). 480–495. 7 indexed citations
14.
Nam, Giljoo, Chenglei Wu, Min H. Kim, & Yaser Sheikh. (2019). Strand-Accurate Multi-View Hair Capture. 155–164. 30 indexed citations
15.
Nam, Giljoo, Joo Ho Lee, Diego Gutiérrez, & Min H. Kim. (2018). Practical SVBRDF acquisition of 3D objects with unstructured flash photography. ACM Transactions on Graphics. 37(6). 1–12. 81 indexed citations
16.
Choi, Inchang, Daniel S. Jeon, Giljoo Nam, Diego Gutiérrez, & Min H. Kim. (2017). High-quality hyperspectral reconstruction using a spectral prior. ACM Transactions on Graphics. 36(6). 1–13. 206 indexed citations
17.
Nam, Giljoo, Joo Ho Lee, Hongzhi Wu, Diego Gutiérrez, & Min H. Kim. (2016). Simultaneous acquisition of microscale reflectance and normals. ACM Transactions on Graphics. 35(6). 1–11. 35 indexed citations
18.
Nam, Giljoo, et al.. (2015). Measuring Color Defects in Flat Panel Displays Using HDR Imaging and Appearance Modeling. IEEE Transactions on Instrumentation and Measurement. 65(2). 297–304. 23 indexed citations
19.
Hofstee, H. Peter, et al.. (2015). Feature detection for image analytics via FPGA acceleration. IBM Journal of Research and Development. 59(2/3). 8:1–8:10. 9 indexed citations
20.
Nam, Giljoo & Min H. Kim. (2014). Multispectral Photometric Stereo for Acquiring High-Fidelity Surface Normals. IEEE Computer Graphics and Applications. 34(6). 57–68. 18 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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