Difference between revisions of "Donghoon Han"
From MIPAL
| Line 37: | Line 37: | ||
<li> | <li> | ||
| − | Saem Park, '''Donghoon Han''', Nojun Kwak, "[https://arxiv.org/abs/2103.09576 The U-Net based GLOW for Optical-Flow-free Video Interframe Generation]", Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods ('''ICPRAM | + | Saem Park, '''Donghoon Han''', Nojun Kwak, "[https://arxiv.org/abs/2103.09576 The U-Net based GLOW for Optical-Flow-free Video Interframe Generation]", Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods ('''ICPRAM 2022'''), Feb. 2022 |
</li> | </li> | ||
Revision as of 22:01, 9 December 2022
| [[file:| 200px]] | Donghoon Han (한동훈)
|
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", European Conference on Computer Vision (ECCV 2022), Oct. 2022
- Saem Park, Donghoon Han, Nojun Kwak, "The U-Net based GLOW for Optical-Flow-free Video Interframe Generation", Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2022), Feb. 2022
- 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
