Difference between revisions of "Seunghyeon Seo"
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<li> '''Seunghyeon Seo''', Yeonjin Chang, Jayeon Yoo, Seungwoo Lee, Hojun Lee, Nojun Kwak, "HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering". | <li> '''Seunghyeon Seo''', Yeonjin Chang, Jayeon Yoo, Seungwoo Lee, Hojun Lee, Nojun Kwak, "HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering". | ||
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| + | <li> Donghoon Han*, '''Seunghyeon Seo*''', Eunhwan Park, SeongUk Nam, Nojun Kwak, "Unleash the Potential of CLIP for Video Highlight Detection", * indicates equal contribution. | ||
</li> | </li> | ||
Revision as of 16:02, 18 March 2024
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Seunghyeon Seo (서승현)
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Research Interests
Deep Learning, Computer Vision, Human Pose Estimation, Neural Rendering
Work Experience
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Jun. 2020 ~ Nov. 2020:
- Research Assistant at ThinkforBL Consulting Group, Korea.
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Sep. 2019 ~ Feb. 2020:
- Intern at the Committee on World Food Security, Food and Agriculture Organization of the United Nations (FAO), Italy.
Education
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Mar. 2021 ~ Present:
- M.S./Ph.D. Student, Interdisciplinary Program in Artificial Intelligence, College of Engineering, Seoul National University, Korea.
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Feb. 2021:
- B.S., Regional Information Major / Data Science for the Humanities (Combined Minor), Seoul National University, Korea.
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Jan. 2019 ~ Jun. 2019:
- Exchange Student, Economics / International Relations, Sciences Po (Paris Campus), France.
Publications
- International Conferences
- Yeonjin Chang, Yearim Kim, Seunghyeon Seo, Jung Yi, Nojun Kwak, "Fast Sun-aligned Outdoor Scene Relighting based on TensoRF", WACV 2024.
- Donghoon Han, Seunghyeon Seo, DongHyeon Jeon, Jiho Jang, Chaerin Kong, Nojun Kwak, "ConcatPlexer: Additional Dim1 Batching for Faster ViTs", NeurIPS 2023 Workshop on Advancing Neural Network Training. (Oral)
- Seunghyeon Seo, Yeonjin Chang, Nojun Kwak, "FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis", ICCV 2023. (Project Page)
- Seunghyeon Seo, Jaeyoung Yoo, Jihye Hwang, Nojun Kwak, "MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model", UAI 2023.
- Jaeyoung Yoo*, Hojun Lee*, Seunghyeon Seo, Inseop Chung, Nojun Kwak, "End-to-End Multi-Object Detection with a Regularized Mixture Model", * indicates equal contribution, ICML 2023. (Code)
- 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, CVPR 2023. (Project Page)
- Jongmok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak, "MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection", CVPR 2022. (Code)
- 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", * indicates equal contribution, ICCAS 2021.
- Under Review
- Seunghyeon Seo, Yeonjin Chang, Jayeon Yoo, Seungwoo Lee, Hojun Lee, Nojun Kwak, "HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering".
- Donghoon Han*, Seunghyeon Seo*, Eunhwan Park, SeongUk Nam, Nojun Kwak, "Unleash the Potential of CLIP for Video Highlight Detection", * indicates equal contribution.
Projects
- Artificial intelligence research about cross-modal dialogue modeling for one-on-one multi-modal interactions, May. 2022 ~ Jul. 2023
- 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
