Difference between revisions of "Donghoon Han"

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:[https://scholar.google.com/citations?hl=ko&user=BKlC7TQAAAAJ google scholar] [https://linkedin.com/in/dhk1349 LinkedIn]
 
:[https://scholar.google.com/citations?hl=ko&user=BKlC7TQAAAAJ google scholar] [https://linkedin.com/in/dhk1349 LinkedIn]
 
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== '''Research Interests''' ==
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Deep Learning, Computer Vision, Generative Model, Vision-Language (Multimodal)
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== '''Education''' ==
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<ul>
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<li>
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Mar. 2021 ~ Present:
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:M.S./Ph.D. Student, Interdisciplinary Program in Artificial Intelligence, College of Engineering, Seoul National University, Korea.
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</li>
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<li>
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Feb. 2021:
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:B.S., International Studies / Computer Science, Kyunghee University, Korea.
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</li>
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</ul>
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== '''Publications''' ==
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:<font size = 4>'''International Conferences''' </font><br>
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<ul>
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<li> Chaerin Kong, Jeesoo Kim, '''Donghoon Han''', Nojun Kwak, "[https://arxiv.org/abs/2111.11672 Few-Shot Image Generation with Mixup-Based Distance Learning]", IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022 ('''CVPR 2022'''), Jun. 2022
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</li>
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<li>
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Kyuewang Lee*, Inseop Chung*, Daeho Um, Jaeseok Choi, Yeji Song, '''Seunghyeon Seo''', Nojun Kwak, Jin Young Choi, "Multi-modal Object Detection, Tracking, and Action Classification for Unmanned Outdoor Surveillance Robots", The 21st International Conference on Control, Automation and Systems ('''ICCAS 2021'''), Oct. 2021, * indicates equal contribution.
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</li>
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</ul>
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:<font size = 4>'''Under Review''' </font><br>
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<ul>
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<li> '''Seunghyeon Seo''', Donghoon Han*, Yeonjin Chang*, Nojun Kwak, "MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs", * indicates equal contribution.
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</li>
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<li> '''Seunghyeon Seo''', Jaeyoung Yoo, Jihye Hwang, Nojun Kwak, "MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model"
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</li>
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<li> Jaeyoung Yoo*, Hojun Lee*, '''Seunghyeon Seo''', Inseop Chung, Nojun Kwak, "[https://arxiv.org/abs/2205.08714 Sparse MDOD: Training End-to-End Multi-Object Detector without Bipartite Matching]", arXiv, May 2022, * indicates equal contribution.
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</li>
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</ul>
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== '''Projects''' ==
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<ul>
 +
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<li>
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Artificial intelligence research about cross-modal dialogue modeling for one-on-one multi-modal interactions, May. 2022 ~
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</li>
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<li>
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Development of real-time multi-camera object tracking and identification technology, Jun. 2021 ~ Dec. 2021
 +
</li>
 +
 +
<li>
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Development of multimodal sensor-based intelligent systems for outdoor surveillance robots, Jan. 2021 ~ Aug. 2021
 +
</li>
 +
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</ul>

Revision as of 21:53, 9 December 2022

[[file:| 200px]] Donghoon Han (한동훈)

서울대학교 협동과정 인공지능전공 석박사통합과정 (2021.03~)
경희대학교 국제학과/컴퓨터공학과 졸업 (2021.02)


e-mail: dhk1349(a_t)snu(d_ot)ac(do_t)kr
google scholar LinkedIn

Research Interests

Deep Learning, Computer Vision, Generative Model, Vision-Language (Multimodal)

Education

  • Mar. 2021 ~ Present:
    M.S./Ph.D. Student, Interdisciplinary Program in Artificial Intelligence, College of Engineering, Seoul National University, Korea.
  • Feb. 2021:
    B.S., International Studies / Computer Science, Kyunghee University, Korea.

Publications

International Conferences
  • Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak, "Few-Shot Image Generation with Mixup-Based Distance Learning", IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022 (CVPR 2022), Jun. 2022
  • Kyuewang Lee*, Inseop Chung*, Daeho Um, Jaeseok Choi, Yeji Song, Seunghyeon Seo, Nojun Kwak, Jin Young Choi, "Multi-modal Object Detection, Tracking, and Action Classification for Unmanned Outdoor Surveillance Robots", The 21st International Conference on Control, Automation and Systems (ICCAS 2021), Oct. 2021, * indicates equal contribution.


Under Review
  • Seunghyeon Seo, Donghoon Han*, Yeonjin Chang*, Nojun Kwak, "MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs", * indicates equal contribution.
  • Seunghyeon Seo, Jaeyoung Yoo, Jihye Hwang, Nojun Kwak, "MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model"
  • Jaeyoung Yoo*, Hojun Lee*, Seunghyeon Seo, Inseop Chung, Nojun Kwak, "Sparse MDOD: Training End-to-End Multi-Object Detector without Bipartite Matching", arXiv, May 2022, * indicates equal contribution.

Projects

  • Artificial intelligence research about cross-modal dialogue modeling for one-on-one multi-modal interactions, May. 2022 ~
  • Development of real-time multi-camera object tracking and identification technology, Jun. 2021 ~ Dec. 2021
  • Development of multimodal sensor-based intelligent systems for outdoor surveillance robots, Jan. 2021 ~ Aug. 2021
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