Tae-Hyun Oh

2.8k total citations
80 papers, 1.4k citations indexed

About

Tae-Hyun Oh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tae-Hyun Oh has authored 80 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 13 papers in Signal Processing. Recurrent topics in Tae-Hyun Oh's work include Advanced Vision and Imaging (26 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Robotics and Sensor-Based Localization (13 papers). Tae-Hyun Oh is often cited by papers focused on Advanced Vision and Imaging (26 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Robotics and Sensor-Based Localization (13 papers). Tae-Hyun Oh collaborates with scholars based in South Korea, United States and Canada. Tae-Hyun Oh's co-authors include In So Kweon, Yu‐Wing Tai, Jean‐Charles Bazin, Joon‐Young Lee, Hyeongwoo Kim, Lorenzo Torresani, Kristen Grauman, Ruohan Gao, Kyungdon Joo and Junsik Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Science Advances and IEEE Access.

In The Last Decade

Tae-Hyun Oh

72 papers receiving 1.4k citations

Peers

Tae-Hyun Oh

CVPR

AI

SP

CM

AE

Anurag Ranjan Germany

Giuseppe Valenzise France

Songcen Xu China

Shuyuan Zhu China

Yigang Cen China

Jean‐Charles Bazin South Korea

Wenxiu Sun Hong Kong

M.K.H. Leung Singapore

Alexander Sorkine‐Hornung United States

Anurag Ranjan Germany

Tae-Hyun Oh

1.2k ×1.2

CVPR

158 ×0.6

AI

120 ×0.5

SP

254 ×1.1

CM

148 ×0.7

AE

Citations per year, relative to Tae-Hyun Oh Tae-Hyun Oh (= 1×) peers Anurag Ranjan

Countries citing papers authored by Tae-Hyun Oh

Since Specialization

Citations

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

Fields of papers citing papers by Tae-Hyun Oh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae-Hyun Oh. 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 Tae-Hyun Oh. The network helps show where Tae-Hyun Oh may publish in the future.

Co-authorship network of co-authors of Tae-Hyun Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Tae-Hyun Oh. A scholar is included among the top collaborators of Tae-Hyun Oh 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 Tae-Hyun Oh. Tae-Hyun Oh 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.

Kwak, Suha, et al.. (2025). SYNAuG: Exploiting synthetic data for data imbalance problems. Pattern Recognition Letters. 193. 115–121. 2 indexed citations

2.

Oh, Tae-Hyun, et al.. (2025). Robust 3D Shape Reconstruction in Zero-Shot from a Single Image in the Wild. 22786–22798. 1 indexed citations

3.

Oh, Tae-Hyun, et al.. (2025). Perceptually Accurate 3D Talking Head Generation: New Definitions, Speech-Mesh Representation, and Evaluation Metrics. 21065–21074. 3 indexed citations

4.

Chang, Hyung Jin, et al.. (2024). A unified framework for unsupervised action learning via global-to-local motion transformer. Pattern Recognition. 159. 111118–111118. 2 indexed citations

5.

Han, Seungju, et al.. (2024). SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models. 1149–1167. 1 indexed citations

6.

Kim, Dahun, et al.. (2024). Uni-DVPS: Unified Model for Depth-Aware Video Panoptic Segmentation. IEEE Robotics and Automation Letters. 9(7). 6186–6193. 2 indexed citations

7.

Oh, Tae-Hyun, et al.. (2024). Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering. 4347–4356. 7 indexed citations

8.

Putro, Muhamad Dwisnanto, et al.. (2024). An Efficient and Effective Sea Turtle Detection Using Positioning Enhancement Module. 1–6.

9.

Choi, Dongmin, et al.. (2023). ENInst: Enhancing weakly-supervised low-shot instance segmentation. Pattern Recognition. 145. 109888–109888. 5 indexed citations

10.

Owens, Andrew, et al.. (2023). Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment. 6430–6440. 18 indexed citations

11.

Choi, Jinsoo & Tae-Hyun Oh. (2023). Joint Video Super-Resolution and Frame Interpolation via Permutation Invariance. Sensors. 23(5). 2529–2529. 1 indexed citations

12.

Oh, Tae-Hyun, et al.. (2023). Multi-stage adaptive rank statistic pruning for lightweight human 3D mesh recovery model. The Visual Computer. 40(2). 535–543.

13.

Kim, Bo‐Hyung, et al.. (2023). Enhancing Classification Accuracy on Limited Data via Unconditional GAN. 1049–1057.

14.

Kim, Kyung-Hwan, et al.. (2022). Neural-Network-Based Automated Synthesis of Transformer Matching Circuits for RF Amplifier Design. IEEE Transactions on Microwave Theory and Techniques. 70(11). 4726–4739. 12 indexed citations

15.

Tewari, Ayush, Tae-Hyun Oh, Tim Weyrich, et al.. (2021). Monocular Reconstruction of Neural Face Reflectance Fields. UCL Discovery (University College London). 4789–4798. 11 indexed citations

16.

Gao, Ruohan, Tae-Hyun Oh, Kristen Grauman, & Lorenzo Torresani. (2020). Listen to Look: Action Recognition by Previewing Audio. 10454–10464. 175 indexed citations

17.

Shim, Inwook, Tae-Hyun Oh, Joon‐Young Lee, et al.. (2018). Gradient-Based Camera Exposure Control for Outdoor Mobile Platforms. IEEE Transactions on Circuits and Systems for Video Technology. 29(6). 1569–1583. 31 indexed citations

18.

Oh, Tae-Hyun, et al.. (2018). On Learning Association of Sound Source and Visual Scenes. Computer Vision and Pattern Recognition. 2508–2509. 1 indexed citations

19.

Choi, Jinsoo, Tae-Hyun Oh, & In-So Kweon. (2017). Textually Customized Video Summaries.. arXiv (Cornell University). 4 indexed citations

20.

Oh, Tae-Hyun, Yasuyuki Matsushita, In-So Kweon, & David Wipf. (2016). A Pseudo-Bayesian Algorithm for Robust PCA. Open Access System for Information Sharing (Pohang University of Science and Technology). 29. 1390–1398. 6 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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