Difference between revisions of "Seunghyeon Seo"
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Revision as of 19:56, 26 March 2023
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
- Seunghyeon Seo, Donghoon Han*, Yeonjin Chang*, Nojun Kwak, "MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs", IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR 2023), Jun. 2023, * indicates equal contribution.
- 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", 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, Yeonjin Chang, Nojun Kwak, "FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis".
- Seunghyeon Seo, Jaeyoung Yoo, Jihye Hwang, Nojun Kwak, "MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model", arXiv, Feb. 2023
- 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 ~ Present
- 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