Kimin Yun

1.3k total citations · 1 hit paper
30 papers, 783 citations indexed

About

Kimin Yun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Kimin Yun has authored 30 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Kimin Yun's work include Video Surveillance and Tracking Methods (21 papers), Human Pose and Action Recognition (13 papers) and Advanced Vision and Imaging (9 papers). Kimin Yun is often cited by papers focused on Video Surveillance and Tracking Methods (21 papers), Human Pose and Action Recognition (13 papers) and Advanced Vision and Imaging (9 papers). Kimin Yun collaborates with scholars based in South Korea and Switzerland. Kimin Yun's co-authors include Jin Young Choi, Sangdoo Yun, Youngjoon Yoo, Jongwon Choi, Soo Wan Kim, Kwang Moo Yi, Jongyoul Park, Hyung Jin Chang, Jin‐Young Choi and Jinyoung Moon and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Kimin Yun

28 papers receiving 762 citations

Hit Papers

align trajectories sort by overperformance

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.

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning

2017 364 citations Sangdoo Yun, Jongwon Choi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kimin Yun South Korea	12	698	156	150	94	63	30	783
Jongwon Choi South Korea	9	871 1.2×	223 1.4×	143 1.0×	200 2.1×	73 1.2×	38	990
Horst Possegger Austria	12	600 0.9×	127 0.8×	190 1.3×	64 0.7×	61 1.0×	38	714
Jiaolong Xu Spain	13	681 1.0×	131 0.8×	210 1.4×	172 1.8×	81 1.3×	26	887
Roman Pflugfelder Austria	9	663 0.9×	198 1.3×	73 0.5×	92 1.0×	83 1.3×	22	758
Tao Zhao United States	9	879 1.3×	114 0.7×	289 1.9×	45 0.5×	67 1.1×	14	967
Qiong Liu China	14	525 0.8×	164 1.1×	109 0.7×	38 0.4×	42 0.7×	67	676
Stefan Munder Germany	5	888 1.3×	106 0.7×	254 1.7×	119 1.3×	67 1.1×	5	1000
Yeqiang Qian China	13	454 0.7×	119 0.8×	113 0.8×	45 0.5×	72 1.1×	36	643
Renshu Gu China	10	423 0.6×	74 0.5×	96 0.6×	40 0.4×	31 0.5×	39	529
Ben Benfold United Kingdom	7	564 0.8×	80 0.5×	215 1.4×	40 0.4×	43 0.7×	8	638

Countries citing papers authored by Kimin Yun

Since Specialization

Citations

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

Fields of papers citing papers by Kimin Yun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimin Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Kimin Yun. A scholar is included among the top collaborators of Kimin Yun 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 Kimin Yun. Kimin Yun 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

Yun, Kimin, et al.. (2025). Task-Adaptive Open-Set Detection with Prompt-Tuned Adaptors. 1–6.

Song, Ji‐Soo, et al.. (2025). CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning. 1–6.

Yun, Kimin, et al.. (2023). Background memory‐assisted zero‐shot video object segmentation for unmanned aerial and ground vehicles. ETRI Journal. 45(5). 795–810. 1 indexed citations

Kim, Hyung-Il, Kimin Yun, & Yong Man Ro. (2022). Face Shape-Guided Deep Feature Alignment for Face Recognition Robust to Face Misalignment. IEEE Transactions on Biometrics Behavior and Identity Science. 4(4). 556–569. 4 indexed citations

Yun, Kimin, et al.. (2022). Gating Mechanism in Deep Neural Networks for Resource-Efficient Continual Learning. IEEE Access. 10. 18776–18786. 1 indexed citations

Lee, Youngwan, Hyung-Il Kim, Kimin Yun, & Jinyoung Moon. (2021). Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification. IEEE Access. 9. 163054–163064. 8 indexed citations

Yun, Kimin, Jongyoul Park, & Jungchan Cho. (2020). Robust Human Pose Estimation for Rotation via Self-Supervised Learning. IEEE Access. 8. 32502–32517. 14 indexed citations

Yun, Kimin, et al.. (2020). Anti-Litter Surveillance based on Person Understanding via Multi-Task Learning. British Machine Vision Conference. 1–13. 6 indexed citations

Yun, Kimin, Yongjin Kwon, Sungchan Oh, Jinyoung Moon, & Jongyoul Park. (2019). Vision‐based garbage dumping action detection for real‐world surveillance platform. ETRI Journal. 41(4). 494–505. 44 indexed citations

10.

Yun, Sangdoo, Jongwon Choi, Youngjoon Yoo, Kimin Yun, & Jin Young Choi. (2018). Action-Driven Visual Object Tracking With Deep Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems. 29(6). 2239–2252. 50 indexed citations

11.

Yun, Kimin, et al.. (2018). Behavior Recognition of a Person in a Daily Video Using Joint Position Information. 172–174. 2 indexed citations

12.

Yun, Kimin, et al.. (2017). Scene conditional background update for moving object detection in a moving camera. Pattern Recognition Letters. 88. 57–63. 28 indexed citations

13.

Heo, Byeongho, Kimin Yun, & Jin Young Choi. (2017). Appearance and motion based deep learning architecture for moving object detection in moving camera. 1827–1831. 19 indexed citations

14.

Yun, Kimin, et al.. (2016). Attention-inspired moving object detection in monocular dashcam videos. 1. 2706–2711. 3 indexed citations

15.

Yun, Kimin, Youngjoon Yoo, & Jin Young Choi. (2016). Motion interaction field for detection of abnormal interactions. Machine Vision and Applications. 28(1-2). 157–171. 3 indexed citations

16.

Yun, Kimin, et al.. (2014). Motion Interaction Field for Accident Detection in Traffic Surveillance Video. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3062–3067. 27 indexed citations

17.

Yun, Sangdoo, Kimin Yun, Soo Wan Kim, Youngjoon Yoo, & Jiyeoup Jeong. (2014). Visual surveillance briefing system: Event-based video retrieval and summarization. 8. 204–209. 3 indexed citations

18.

Yi, Kwang Moo, Kimin Yun, Soo Wan Kim, Hyung Jin Chang, & Jin‐Young Choi. (2013). Detection of Moving Objects with Non-stationary Cameras in 5.8ms: Bringing Motion Detection to Your Mobile Device. University of Birmingham Research Portal (University of Birmingham). 27–34. 70 indexed citations

19.

Kim, Soo Wan, Shimin Yin, Kimin Yun, & Jin Young Choi. (2013). Spatio-temporal weighting in local patches for direct estimation of camera motion in video stabilization. Computer Vision and Image Understanding. 118. 71–83. 17 indexed citations

20.

Kim, Soo Wan, Kimin Yun, Kwang Moo Yi, Sun Jung Kim, & Jin Young Choi. (2012). Detection of moving objects with a moving camera using non-panoramic background model. Machine Vision and Applications. 24(5). 1015–1028. 55 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