Kyungdon Joo

897 total citations
37 papers, 470 citations indexed

About

Kyungdon Joo is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Kyungdon Joo has authored 37 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 19 papers in Aerospace Engineering and 6 papers in Media Technology. Recurrent topics in Kyungdon Joo's work include Advanced Vision and Imaging (23 papers), Robotics and Sensor-Based Localization (19 papers) and Optical measurement and interference techniques (12 papers). Kyungdon Joo is often cited by papers focused on Advanced Vision and Imaging (23 papers), Robotics and Sensor-Based Localization (19 papers) and Optical measurement and interference techniques (12 papers). Kyungdon Joo collaborates with scholars based in South Korea, United States and Canada. Kyungdon Joo's co-authors include In So Kweon, Tae-Hyun Oh, Hyowon Ha, François Rameau, Jean‐Charles Bazin, Kibaek Park, Pyojin Kim, Nam Il Kim, Jinsoo Choi and Sunghoon Im and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Pattern Recognition Letters.

In The Last Decade

Kyungdon Joo

34 papers receiving 462 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kyungdon Joo South Korea 14 352 241 85 58 47 37 470
Ondřej Mikšík United Kingdom 9 421 1.2× 253 1.0× 55 0.6× 44 0.8× 37 0.8× 15 488
Kaixuan Wang China 10 319 0.9× 223 0.9× 59 0.7× 47 0.8× 20 0.4× 37 430
Patrick Sayd France 11 415 1.2× 258 1.1× 74 0.9× 16 0.3× 30 0.6× 20 490
Jae Shin Yoon United States 8 330 0.9× 119 0.5× 34 0.4× 47 0.8× 30 0.6× 16 424
João Paulo Lima Brazil 11 313 0.9× 170 0.7× 97 1.1× 12 0.2× 42 0.9× 66 463
Rui Qian China 6 442 1.3× 187 0.8× 55 0.6× 52 0.9× 26 0.6× 14 561
Olaf Kähler United Kingdom 11 480 1.4× 420 1.7× 196 2.3× 19 0.3× 46 1.0× 18 604
Q.-T. Luong United States 8 522 1.5× 213 0.9× 49 0.6× 120 2.1× 20 0.4× 20 575
Hatem Alismail United States 11 264 0.8× 295 1.2× 97 1.1× 32 0.6× 81 1.7× 18 423
Qingqiu Huang China 4 480 1.4× 225 0.9× 51 0.6× 25 0.4× 20 0.4× 6 612

Countries citing papers authored by Kyungdon Joo

Since Specialization
Citations

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

Fields of papers citing papers by Kyungdon Joo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyungdon Joo

This figure shows the co-authorship network connecting the top 25 collaborators of Kyungdon Joo. A scholar is included among the top collaborators of Kyungdon Joo 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 Kyungdon Joo. Kyungdon Joo 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.
Lee, Jong-Sung, et al.. (2025). HUSH: Holistic Panoramic 3D Scene Understanding using Spherical Harmonics. 16599–16608.
2.
Joo, Kyungdon, et al.. (2024). San Francisco World: Leveraging Structural Regularities of Slope for 3-DoF Visual Compass. IEEE Robotics and Automation Letters. 10(1). 382–389. 1 indexed citations
3.
Joo, Kyungdon, et al.. (2024). ContactGen: Contact-Guided Interactive 3D Human Generation for Partners. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 1923–1931.
4.
Kim, Minje, et al.. (2024). A Benchmark Dataset for Collaborative SLAM in Service Environments. IEEE Robotics and Automation Letters. 9(12). 11337–11344.
5.
Shen, Xin, Kyungdon Joo, & Jean Oh. (2023). FishRecGAN: An End to End GAN Based Network for Fisheye Rectification and Calibration. 3(2). 1180–1197. 1 indexed citations
6.
Kim, Minseok, et al.. (2023). Pose-Guided 3D Human Generation in Indoor Scene. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1133–1141. 2 indexed citations
7.
Joo, Kyungdon, et al.. (2023). Learning-Based Reflection-Aware Virtual Point Removal for Large-Scale 3D Point Clouds. IEEE Robotics and Automation Letters. 8(12). 8510–8517. 2 indexed citations
8.
Park, Jinsun, et al.. (2022). Adaptive Cost Volume Fusion Network for Multi-Modal Depth Estimation in Changing Environments. IEEE Robotics and Automation Letters. 7(2). 5095–5102. 5 indexed citations
9.
Kim, Pyojin, Haoang Li, & Kyungdon Joo. (2022). Quasi-Globally Optimal and Real-Time Visual Compass in Manhattan Structured Environments. IEEE Robotics and Automation Letters. 7(2). 2613–2620. 11 indexed citations
10.
Rameau, François, et al.. (2022). Real-Time Multi-Car Localization and See-Through System. International Journal of Computer Vision. 130(2). 384–404. 3 indexed citations
11.
Joo, Kyungdon, Hongdong Li, Tae-Hyun Oh, & In So Kweon. (2021). Robust and Efficient Estimation of Relative Pose for Cameras on Selfie Sticks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(9). 1–1. 2 indexed citations
12.
Joo, Kyungdon, et al.. (2021). Stereo Object Matching Network. 521. 12918–12924. 4 indexed citations
13.
Park, Kibaek, et al.. (2020). SideGuide:A Large-scale Sidewalk Dataset for Guiding Impaired People. 10022–10029. 12 indexed citations
14.
Joo, Kyungdon, Hongdong Li, Tae-Hyun Oh, Yunsu Bok, & In So Kweon. (2020). Globally Optimal Relative Pose Estimation for Camera on a Selfie Stick. ANU Open Research (Australian National University). 4983–4989. 2 indexed citations
15.
Park, Jinsun, Kyungdon Joo, François Rameau, et al.. (2019). Vehicular Multi-Camera Sensor System for Automated Visual Inspection of Electric Power Distribution Equipment. 281–288. 6 indexed citations
16.
Joo, Kyungdon, et al.. (2018). Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(3). 682–696. 27 indexed citations
17.
Rameau, François, et al.. (2018). Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution. Pattern Recognition Letters. 106. 53–60. 34 indexed citations
18.
Joo, Kyungdon, Tae-Hyun Oh, Junsik Kim, & In So Kweon. (2016). Globally Optimal Manhattan Frame Estimation in Real-Time. 1763–1771. 22 indexed citations
19.
Joo, Kyungdon, Nam Il Kim, Tae-Hyun Oh, & In So Kweon. (2015). Line meets as-projective-as-possible image stitching with moving DLT. 1175–1179. 39 indexed citations
20.
Joo, Kyungdon, Tae-Hyun Oh, & In So Kweon. (2013). L<inf>1</inf>-based photometric stereo via augmented lagrange multiplier method. 615–616. 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.

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2026