Difference between revisions of "Seunghyeon Seo"
From MIPAL
| Line 50: | Line 50: | ||
:<font size = 4>'''International Conferences''' </font><br> | :<font size = 4>'''International Conferences''' </font><br> | ||
<ul> | <ul> | ||
| + | |||
| + | <li> Jaeyoung Yoo*, Hojun Lee*, '''Seunghyeon Seo''', Inseop Chung, Nojun Kwak, "[https://arxiv.org/abs/2205.08714 End-to-End Multi-Object Detection with a Regularized Mixture Model]", The Fortieth International Conference on Machine Learning ('''ICML 2023'''), Jul. 2023, * indicates equal contribution. | ||
| + | </li> | ||
<li> '''Seunghyeon Seo''', Donghoon Han*, Yeonjin Chang*, Nojun Kwak, "[https://arxiv.org/abs/2302.08788 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. ([https://shawn615.github.io/mixnerf/ Project Page]) | <li> '''Seunghyeon Seo''', Donghoon Han*, Yeonjin Chang*, Nojun Kwak, "[https://arxiv.org/abs/2302.08788 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. ([https://shawn615.github.io/mixnerf/ Project Page]) | ||
| Line 68: | Line 71: | ||
<li> '''Seunghyeon Seo''', Jaeyoung Yoo, Jihye Hwang, Nojun Kwak, "[https://arxiv.org/abs/2302.08751 MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model]", arXiv, Feb. 2023 | <li> '''Seunghyeon Seo''', Jaeyoung Yoo, Jihye Hwang, Nojun Kwak, "[https://arxiv.org/abs/2302.08751 MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model]", arXiv, Feb. 2023 | ||
| − | |||
| − | |||
| − | |||
</li> | </li> | ||
Revision as of 21:07, 25 April 2023
|
Seunghyeon Seo (서승현)
|
Research Interests
Deep Learning, Computer Vision, Human Pose Estimation, Neural Rendering
Work Experience
-
Jun. 2020 ~ Nov. 2020:
- Research Assistant at ThinkforBL Consulting Group, Korea.
-
Sep. 2019 ~ Feb. 2020:
- Intern at the Committee on World Food Security, Food and Agriculture Organization of the United Nations (FAO), Italy.
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., Regional Information Major / Data Science for the Humanities (Combined Minor), Seoul National University, Korea.
-
Jan. 2019 ~ Jun. 2019:
- Exchange Student, Economics / International Relations, Sciences Po (Paris Campus), France.
Publications
- International Conferences
- Jaeyoung Yoo*, Hojun Lee*, Seunghyeon Seo, Inseop Chung, Nojun Kwak, "End-to-End Multi-Object Detection with a Regularized Mixture Model", The Fortieth International Conference on Machine Learning (ICML 2023), Jul. 2023, * indicates equal contribution.
- 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. (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", 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, Jaeyoung Yoo, Jihye Hwang, Nojun Kwak, "MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model", arXiv, Feb. 2023
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
