cv
Heeseung Yun
| Address | 138-317, 08826 Seoul, Korea |
| Contact | heeseung.yun at vision.snu.ac.kr |
| Research Interest | Multimodal representation learning, video understanding, geometric deep learning Leveraging multisensory omnidirectional perception to bridge the gap between the pinhole world and the real world |
Education
- 2020-Present
Seoul National University
Integrated M.S./Ph.D. in Computer Science and Engineering
- Vision and Learning Lab (Advisor : Prof. Gunhee Kim)
- 2015-2020
Seoul National University, College of Liberal Studies
B.S in Computer Science and Engineering & Value Science Engineering
- College of Liberal Studies Valedictorian (Dean's Award)
- Computer Science and Engineering Best Thesis Award
- 2018
Technical University of Munich
Exchange Student (Department of Informatics)
Honors & Awards
| 1st Place of DramaQA Challenge 2020 | VTT Workshop @ ECCV, 2020 |
| College of Liberal Studies Dean's Award (Valedictorian) | Seoul National University, 2020 |
| Dept. of Computer Science and Engineering Best Thesis Award | Seoul National University, 2020 |
| 1st Place of Large Scale Movie Description Challenge 2019 | CLVL Workshop @ ICCV, 2019 |
| National Scholarship for Science and Engineering | Ministry of Science and ICT, 2017-2019 |
| Award of Excellence for Summer Research Program | Intel-NTU Connected Context Computing Center, 2018 |
| Merit-Based Full Scholarship | Seoul National University, 2017 |
Experience
- 2020-Present
Graduate Research Assistant
Vision and Learning Lab, Seoul National University (Advisor : Prof. Gunhee Kim)
- 2019-2020
Research Intern
Vision and Learning Lab, Seoul National University (Advisor : Prof. Gunhee Kim)
- 2018
Research Intern
Intel-NTU Connected Context Computing Center (Advisor : Chih-Yuan Yang)
- 2017
Research Intern
Co-design and Parallel Processing Laboratory, Seoul National University (UROP)
Others
| Reviewer | CVPR (2023), ECCV (2022), TVCG (2022) |