Difference between revisions of "Seunghyeon Seo"
From MIPAL
(→Publications) |
|||
| (34 intermediate revisions by one user not shown) | |||
| Line 1: | Line 1: | ||
{| style="width: 100%;" class="wikitable" | {| style="width: 100%;" class="wikitable" | ||
|- | |- | ||
| − | | style="width: 200px;" |[[file:| 200px]] | + | | style="width: 200px;" |[[file:Seunghyeon.JPG| 200px]] |
| <font size = 5> '''[[Seunghyeon Seo]] (서승현)'''</font><br><br> | | <font size = 5> '''[[Seunghyeon Seo]] (서승현)'''</font><br><br> | ||
:서울대학교 협동과정 인공지능전공 석박사통합과정 (2021.03 ~ ) <br> | :서울대학교 협동과정 인공지능전공 석박사통합과정 (2021.03 ~ ) <br> | ||
| Line 8: | Line 8: | ||
:Tel: (+82)31-888-9579 | :Tel: (+82)31-888-9579 | ||
:e-mail: zzzlssh@snu.ac.kr <br> | :e-mail: zzzlssh@snu.ac.kr <br> | ||
| − | :[https://scholar.google.com/citations?user=LL9u-5IAAAAJ&hl=en&oi=ao Google Scholar] [https://www.linkedin.com/in/shawn615/ | + | :[https://shawn615.github.io/ Research Page] [https://scholar.google.com/citations?user=LL9u-5IAAAAJ&hl=en&oi=ao Google Scholar] [https://www.linkedin.com/in/shawn615/ LinkedIn] [https://github.com/shawn615/ Github] |
|- | |- | ||
|} | |} | ||
| Line 51: | Line 51: | ||
<ul> | <ul> | ||
| − | <li> | + | <li> Donghoon Han*, '''Seunghyeon Seo*''', Eunhwan Park, SeongUk Nam, Nojun Kwak, "[https://arxiv.org/abs/2404.01745 Unleash the Potential of CLIP for Video Highlight Detection]", * indicates equal contribution, '''CVPR 2024 Workshop on Efficient Large Vision Models'''. |
</li> | </li> | ||
| − | <li> | + | <li> Yeonjin Chang, Yearim Kim, '''Seunghyeon Seo''', Jung Yi, Nojun Kwak, "[https://arxiv.org/abs/2311.03965 Fast Sun-aligned Outdoor Scene Relighting based on TensoRF]", '''WACV 2024'''. |
| − | 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", | + | </li> |
| + | |||
| + | <li> Donghoon Han, '''Seunghyeon Seo''', DongHyeon Jeon, Jiho Jang, Chaerin Kong, Nojun Kwak, "[https://arxiv.org/abs/2308.11199 ConcatPlexer: Additional Dim1 Batching for Faster ViTs]", '''NeurIPS 2023 Workshop on Advancing Neural Network Training'''. <font color="red">'''(Oral)'''</font> | ||
| + | </li> | ||
| + | |||
| + | <li> '''Seunghyeon Seo''', Yeonjin Chang, Nojun Kwak, "[https://arxiv.org/abs/2306.17723 FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis]", '''ICCV 2023'''. ([https://shawn615.github.io/flipnerf/ Project Page]) | ||
| + | </li> | ||
| + | |||
| + | <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]", '''UAI 2023'''. | ||
| + | </li> | ||
| + | |||
| + | <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]", * indicates equal contribution, '''ICML 2023'''. ([https://github.com/lhj815/D-RMM Code]) | ||
| + | </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]", * indicates equal contribution, '''CVPR 2023'''. ([https://shawn615.github.io/mixnerf/ Project Page]) | ||
| + | </li> | ||
| + | |||
| + | <li> Jongmok Kim, Jooyoung Jang, '''Seunghyeon Seo''', Jisoo Jeong, Jongkeun Na, Nojun Kwak, "[https://openaccess.thecvf.com/content/CVPR2022/papers/Kim_MUM_Mix_Image_Tiles_and_UnMix_Feature_Tiles_for_Semi-Supervised_CVPR_2022_paper.pdf MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection]", '''CVPR 2022'''. ([https://github.com/JongMokKim/mix-unmix Code]) | ||
| + | </li> | ||
| + | |||
| + | <li> 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'''. | ||
</li> | </li> | ||
</ul> | </ul> | ||
| + | |||
:<font size = 4>'''Under Review''' </font><br> | :<font size = 4>'''Under Review''' </font><br> | ||
<ul> | <ul> | ||
| − | <li> | + | <li> '''Seunghyeon Seo''', Yeonjin Chang, Jayeon Yoo, Seungwoo Lee, Hojun Lee, Nojun Kwak, "[https://arxiv.org/abs/2403.10906 HourglassNeRF: Casting an Hourglass as a Bundle of Rays for Few-shot Neural Rendering]", arXiv, Mar. 2024. |
</li> | </li> | ||
| + | |||
| + | </ul> | ||
== '''Projects''' == | == '''Projects''' == | ||
| Line 70: | Line 93: | ||
<li> | <li> | ||
| − | Artificial intelligence research about cross-modal dialogue modeling for one-on-one multi-modal interactions, May. 2022 ~ | + | Artificial intelligence research about cross-modal dialogue modeling for one-on-one multi-modal interactions, May. 2022 ~ Jul. 2023 |
</li> | </li> | ||
Latest revision as of 10:31, 7 April 2024
|
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
- Donghoon Han*, Seunghyeon Seo*, Eunhwan Park, SeongUk Nam, Nojun Kwak, "Unleash the Potential of CLIP for Video Highlight Detection", * indicates equal contribution, CVPR 2024 Workshop on Efficient Large Vision Models.
- 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", arXiv, Mar. 2024.
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
