Dahun Kim

1.6k total citations
21 papers, 651 citations indexed

About

Dahun Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Dahun Kim has authored 21 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Dahun Kim's work include Multimodal Machine Learning Applications (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Neural Network Applications (7 papers). Dahun Kim is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Neural Network Applications (7 papers). Dahun Kim collaborates with scholars based in United States, South Korea and Canada. Dahun Kim's co-authors include In So Kweon, Donghyeon Cho, Sanghyun Woo, Joon‐Young Lee, Anelia Angelova, Weicheng Kuo, Donggeun Yoo, Tsung-Yi Lin, Liang-Chieh Chen and Huiyu Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Robotics and Automation Letters.

In The Last Decade

Dahun Kim

20 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dahun Kim United States 10 558 289 36 30 30 21 651
Jiarui Xu China 6 579 1.0× 219 0.8× 26 0.7× 25 0.8× 27 0.9× 11 704
Lang Huang China 8 478 0.9× 224 0.8× 82 2.3× 58 1.9× 36 1.2× 16 629
Fan Ma China 10 363 0.7× 184 0.6× 27 0.8× 32 1.1× 26 0.9× 22 476
K J Joseph India 6 380 0.7× 301 1.0× 13 0.4× 31 1.0× 33 1.1× 12 542
Haibing Ren China 12 371 0.7× 113 0.4× 26 0.7× 22 0.7× 36 1.2× 29 457
Pengxu Wei China 13 354 0.6× 210 0.7× 44 1.2× 55 1.8× 24 0.8× 41 522
Sheng Jin China 9 327 0.6× 235 0.8× 20 0.6× 28 0.9× 37 1.2× 16 573
Wenliang Zhao China 9 506 0.9× 285 1.0× 29 0.8× 46 1.5× 34 1.1× 18 685
Feifei Lee Japan 15 399 0.7× 174 0.6× 21 0.6× 72 2.4× 49 1.6× 70 619
Pengfei Fang China 9 262 0.5× 123 0.4× 61 1.7× 22 0.7× 24 0.8× 37 358

Countries citing papers authored by Dahun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dahun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dahun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dahun Kim. A scholar is included among the top collaborators of Dahun Kim 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 Dahun Kim. Dahun Kim 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.
2.
Wang, Shijie, et al.. (2025). Learning Visual Grounding from Generative Vision and Language Model. 8057–8067. 1 indexed citations
3.
Kim, Minsu, et al.. (2024). Textless Unit-to-Unit Training for Many-to-Many Multilingual Speech-to-Speech Translation. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 3934–3946. 2 indexed citations
4.
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
5.
Piergiovanni, AJ, et al.. (2024). Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities. 26794–26804. 4 indexed citations
6.
Kim, Dahun, Anelia Angelova, & Weicheng Kuo. (2023). Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. 11144–11154. 35 indexed citations
7.
Kim, Dahun, Anelia Angelova, & Weicheng Kuo. (2023). Contrastive Feature Masking Open-Vocabulary Vision Transformer. 15556–15566. 7 indexed citations
8.
Kim, Dahun, Sanghyun Woo, Joon‐Young Lee, & In So Kweon. (2022). Dense Pixel-Level Interpretation of Dynamic Scenes With Video Panoptic Segmentation. IEEE Transactions on Image Processing. 31. 5383–5395. 3 indexed citations
9.
Kim, Dahun, Jun Xie, Huiyu Wang, et al.. (2022). TubeFormer-DeepLab: Video Mask Transformer. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 22 indexed citations
10.
Petrangeli, Stefano, et al.. (2022). Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3142–3151. 5 indexed citations
11.
Yu, Qihang, Huiyu Wang, Dahun Kim, et al.. (2022). CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2550–2560. 55 indexed citations
12.
Kim, Dahun, Tsung-Yi Lin, Anelia Angelova, In So Kweon, & Weicheng Kuo. (2022). Learning Open-World Object Proposals Without Learning to Classify. IEEE Robotics and Automation Letters. 7(2). 5453–5460. 62 indexed citations
13.
Kim, Myungchul, Sanghyun Woo, Dahun Kim, & In So Kweon. (2021). The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation. 928–937. 11 indexed citations
14.
Kim, Dahun, Sanghyun Woo, Joon‐Young Lee, & In So Kweon. (2020). Video Panoptic Segmentation. 9856–9865. 91 indexed citations
15.
Jung, YunJae, Dahun Kim, Sanghyun Woo, et al.. (2020). Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 11213–11220. 21 indexed citations
16.
Petrangeli, Stefano, et al.. (2020). Rotationally-Consistent Novel View Synthesis for Humans. 2308–2316. 3 indexed citations
17.
Kim, Dahun, Sanghyun Woo, Joon‐Young Lee, & In So Kweon. (2019). Recurrent Temporal Aggregation Framework for Deep Video Inpainting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(5). 1038–1052. 31 indexed citations
18.
Cho, Donghyeon, YunJae Jung, François Rameau, et al.. (2019). Video Retargeting. 882–889. 3 indexed citations
19.
Kim, Dahun, Donghyeon Cho, & In So Kweon. (2019). Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8545–8552. 193 indexed citations
20.
Kim, Dahun, Donghyeon Cho, Donggeun Yoo, & In So Kweon. (2018). Learning Image Representations by Completing Damaged Jigsaw Puzzles. 793–802. 95 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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