Youngjung Uh

2.9k total citations · 1 hit paper
35 papers, 1.4k citations indexed

About

Youngjung Uh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Youngjung Uh has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Aerospace Engineering. Recurrent topics in Youngjung Uh's work include Generative Adversarial Networks and Image Synthesis (9 papers), Advanced Neural Network Applications (7 papers) and Multimodal Machine Learning Applications (6 papers). Youngjung Uh is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (9 papers), Advanced Neural Network Applications (7 papers) and Multimodal Machine Learning Applications (6 papers). Youngjung Uh collaborates with scholars based in South Korea, United States and China. Youngjung Uh's co-authors include Jaejun Yoo, Jung-Woo Ha, Yunjey Choi, Sanghyuk Chun, Junho Kim, Hyeran Byun, Sungjoo Yoo, Hyun‐Su Kim, Hyunjung Shim and Kibeom Hong and has published in prestigious journals such as Neurocomputing, Pattern Recognition Letters and Optical Engineering.

In The Last Decade

Youngjung Uh

31 papers receiving 1.4k 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.

StarGAN v2: Diverse Image Synthesis for Multiple Domains

2020 938 citations Yunjey Choi, Youngjung Uh et al. Scholarworks@UNIST (Ulsan National Institute of Science and Technology) profile →

Peers

Youngjung Uh

CVPR

AI

CGCD

SP

MT

Yunjey Choi South Korea

Hsin-Ying Lee United States

Dongliang He China

Yijun Li United States

Omer Tov Israel

Yibing Song China

Jaejun Yoo South Korea

Christopher Olah United States

Xuansong Xie China

Yunjey Choi South Korea

Youngjung Uh

970 ×0.8

CVPR

211 ×0.8

AI

138 ×0.8

CGCD

68 ×0.8

SP

58 ×0.7

MT

Citations per year, relative to Youngjung Uh Youngjung Uh (= 1×) peers Yunjey Choi

Countries citing papers authored by Youngjung Uh

Since Specialization

Citations

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

Fields of papers citing papers by Youngjung Uh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngjung Uh

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Kim, Sunil, et al.. (2025). TCFG: Tangential Damping Classifier-free Guidance. 2620–2629.

2.

Uh, Youngjung, et al.. (2024). Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2777–2785. 1 indexed citations

3.

Uh, Youngjung, et al.. (2024). Characterizing and Quantifying Expert Input Behavior in League of Legends. 1–21. 5 indexed citations

4.

Ahn, Sangjeong, et al.. (2023). Efficient diagnosis of IDH-mutant gliomas: 1p/19qNET assesses 1p/19q codeletion status using weakly-supervised learning. npj Precision Oncology. 7(1). 94–94.

5.

Hong, Kibeom, Junsoo Lee, Namhyuk Ahn, et al.. (2023). AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks. 22701–22710. 21 indexed citations

6.

Kim, Hyun‐Su, et al.. (2023). BallGAN: 3D-aware Image Synthesis with a Spherical Background. 27. 7234–7245. 3 indexed citations

7.

Choi, Yunjey, et al.. (2021). Rethinking the Truly Unsupervised Image-to-Image Translation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14134–14143. 76 indexed citations

8.

Heo, Byeongho, Sanghyuk Chun, Seong Joon Oh, et al.. (2021). AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. International Conference on Learning Representations. 7 indexed citations

9.

Kim, Hyun‐Su, Yunjey Choi, Junho Kim, Sungjoo Yoo, & Youngjung Uh. (2021). Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing. 852–861. 81 indexed citations

10.

Uh, Youngjung, et al.. (2021). Contrastive and consistent feature learning for weakly supervised object localization and semantic segmentation. Neurocomputing. 445. 244–254. 5 indexed citations

11.

Choi, Yunjey, Youngjung Uh, Jaejun Yoo, & Jung-Woo Ha. (2020). StarGAN v2: Diverse Image Synthesis for Multiple Domains. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 8185–8194. 938 indexed citations breakdown →

12.

Heo, Byeongho, Sanghyuk Chun, Seong Joon Oh, et al.. (2020). Slowing Down the Weight Norm Increase in Momentum-based Optimizers. arXiv (Cornell University). 9 indexed citations

13.

Hwang, Sunhee, et al.. (2017). Real-time background subtraction based on GPGPU for high-resolution video surveillance. 1–6. 4 indexed citations

14.

Uh, Youngjung, et al.. (2016). Discovering overlooked objects: Context-based boosting of object detection in indoor scenes. Pattern Recognition Letters. 86. 56–61. 5 indexed citations

15.

Sánchez, Gustavo, et al.. (2015). Fast banknote recognition for the blind on real-life mobile videos. 한국정보과학회 학술발표논문집. 835–837. 2 indexed citations

16.

Uh, Youngjung, Yasuyuki Matsushita, & Hyeran Byun. (2014). Efficient Multiview Stereo by Random-Search and Propagation. 393–400. 4 indexed citations

17.

Kim, Jihie, et al.. (2013). Real-time Korean traffic sign detection and recognition. 1–5. 1 indexed citations

18.

Kim, Seunggyu, et al.. (2012). Color and shape feature-based detection of speed sign in real-time. 663–666. 3 indexed citations

19.

Toh, Kar‐Ann, et al.. (2012). Service-oriented architecture based on biometric using random features and incremental neural networks. Soft Computing. 16(9). 1539–1553. 6 indexed citations

20.

Park, Jin‐Hong, et al.. (2011). Hardware Design of Color-based Image Retrieval System for Mobile Devices. 38(2). 87–93. 1 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.

Explore authors with similar magnitude of impact