Hyunjun Eun
Hyunjun Eun
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AI Research Engineer, SK Telecom
Seoul, Republic of Korea
Email: hyunjun.eun@sk.com
Research Interests
Research Interests
I am currently developing a foundation vision-language model (VLM) designed to understand both general and document-centric images. Building on this foundation, I have also developed multiple task-specific VLMs for applications such as image captioning, image retrieval, and tag recommendation. Additionally, I am exploring self-supervised learning techniques for advancing visual understanding in both image and video domains.
Work Experience
Work Experience
AI Research Engineer at SK Telecom, Feb. 2020 - Current
Education
Education
Ph.D. in Electrical Engineering, KAIST, South Korea, Sep. 2015 - Feb. 2020
M.S. in Electrical Engineering, KAIST, South Korea, Sep. 2013 - Aug. 2015
B.S. in Electrical Engineering, Kyungpook National University, South Korea, Mar. 2006 - Aug. 2013
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts
KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts
Taebaek Hwang, Minseo Kim, Gisang Lee, Seonuk Kim, Hyunjun Eun
In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP). Accepted.
[paper]
Learning to Discriminate Information for Online Action Detection: Analysis and Application
Learning to Discriminate Information for Online Action Detection: Analysis and Application
Sumin Lee, Hyunjun Eun, Jinyoung Moon, Seokeon Choi, Yoonhyung Kim, Chanho Jung, Changick Kim
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 5, pp. 5918-5934, May 2023.
[paper]
Temporal Filtering Networks for Online Action Detection
Temporal Filtering Networks for Online Action Detection
Hyunjun Eun, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim
Pattern Recognition (PR), vol. 111, 107695, 2021.
[paper]
SRG: Snippet Relatedness-based Temporal Action Proposal Generator
SRG: Snippet Relatedness-based Temporal Action Proposal Generator
Hyunjun Eun, Sumin Lee, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 11, pp. 4232-4244, Nov. 2020.
[paper]
A Quad Edge-Based Grid Encoding Model for Content-Aware Image Retargeting
A Quad Edge-Based Grid Encoding Model for Content-Aware Image Retargeting
Yoonhyung Kim, Hyunjun Eun, Chanho Jung, Changick Kim
IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 25, no. 12, pp. 3202-3215, Dec. 2019.
[paper]
Single-View 2D CNNs with Fully Automatic Non-nodule Categorization for False Positive Reduction in Pulmonary Nodule Detection
Single-View 2D CNNs with Fully Automatic Non-nodule Categorization for False Positive Reduction in Pulmonary Nodule Detection
Hyunjun Eun, Daeyeong Kim, Chanho Jung, Changick Kim
Computer Methods and Programs in Biomedicine (CMPB), vol.165, pp. 215-224, Oct. 2018.
[paper]
Saliency Refinement: Towards a Uniformly Highlighted Salient Object
Saliency Refinement: Towards a Uniformly Highlighted Salient Object
Hyunjun Eun, Yoonhyung Kim, Chanho Jung, Changick Kim
Signal Processing: Image Communication (SPIC), vol. 62, pp. 16-32, Mar. 2018.
[paper]
Superpixel-Guided Adaptive Image Smoothing
Superpixel-Guided Adaptive Image Smoothing
Hyunjun Eun, Changick Kim
IEEE Signal Processing Letters (SPL), vol. 23, no. 12, pp. 1887-1891, Dec. 2016.
[paper]
Honors & Awards
Honors & Awards
First Place, Advanced League, SK AI Challenge in ICHEON Forum 2021
For defect detection in SKC films, we achieved 0.6925 mAP on 11 defect classes.
Best Dissertation Award in 2020, Electrical Engineering, KAIST
Dissertation: Temporal Convolutional Networks for Offline and Online Action Detection
Paper Competition Award, Qualcomm-KAIST Innovation Awards 2019
Paper: SRG: Snippet Relatedness-based Temporal Action Proposal Generator
LG Electronics Paper Award, IEIE Autumn Annual Conference 2018
Paper: Weakly Supervised Clothes Recognition with a Two-Branch Network
First Place, Samsung Fire & Marine Insurance (SFMI) Machine Learning Challenge 2017
For Korean text detection in traffic road signs, we achieved 98.14% accuracy on 709 Korean text classes.
Talks & Presentations
Talks & Presentations
Deployment of Telco Services Powered by A.X. SK AI Summit, Nov 2024.
Multimodal AI: Understanding and Generation. SKT AI Curriculum – Seoul National University, Sep 2024.
Multimodal AI: Understanding and Generation. SKT AI Curriculum – Seoul National University, Sep 2023.
Vision-Language Pre-training. Chungnam National University, Nov 2022.
Generalized OCR. SK ICT Tech Summit, Nov 2021.
Generalized OCR. SKT NUGU Conference, Oct 2021.
Services
Services
Reviewer for
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
IEEE Transactions on Multimedia (TMM)
IEEE Signal Processing Letters (SPL)
Medical Physics
Academic Experiences
Academic Experiences
Teaching Assistant for
Optimization in Computer Vision, 2019, KAIST
EE734 Image Understanding, Spring 2019, KAIST
Optimization in Computer Vision, 2018, KAIST
EE734 Image Understanding, Spring 2018, KAIST
EE305A Electronics Design Lab., Fall 2016, KAIST
EE734 Image Understanding, Spring 2016, KAIST
Exchange Student
Spring 2012, Wroclaw University of Science and Technology
Pre-Internship
Biomedical Engineering, Winter 2011, The University of Sydney
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