Difference between revisions of "Chaerin Kong"
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== '''Work Experience''' == | == '''Work Experience''' == | ||
| + | <li> Research Intern at TwelveLabs. ''2023.06 ~ '' | ||
<li> Research Intern at Language and Vision Team, NAVER Corp. ''2022.04 ~ 2022.09'' | <li> Research Intern at Language and Vision Team, NAVER Corp. ''2022.04 ~ 2022.09'' | ||
<li> Research Intern at AIIS, ''2020.07 ~ 2020.08'' | <li> Research Intern at AIIS, ''2020.07 ~ 2020.08'' | ||
Revision as of 14:30, 2 July 2023
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Chaerin Kong (공채린)
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Research Interest: Generative Models, Vision-Language, Data-efficient Learning
Work Experience
Publication
- International Conferences
- Seungwoo Lee, Chaerin Kong, Donghyeon Jeon, Nojun Kwak, "AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion", CVPR 2023 Workshop on AI for Content Creation.
- Chaerin Kong, Nojun Kwak, "Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance", ICLR 2023 Workshop on Multimodal Representation Learning (Spotlight).
- Jiho Jang*, Chaerin Kong*, Donghyeon Jeon, Seonhoon Kim, Nojun Kwak, "Unifying Vision-Language Representation Space with Single-tower Transformer", AAAI 2023 (Oral).
- Chaerin Kong, Donghyeon Jeon, Ohjoon Kwon, Nojun Kwak, "Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation", WACV 2023.
- Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak, "Self-Distilled Self-Supervised Representation Learning", WACV 2023.
- Yeji Song, Chaerin Kong, Seo Young Lee, Joonseok Lee, Nojun Kwak, "Towards Efficient Neural Scene Graphs by Learning Consistency Fields", BMVC 2022.
- Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak, "Few-shot Image Generation with Mixup-based Distance Learning", ECCV 2022.
- Under Review
- Chaerin Kong, Nojun Kwak, "Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Incremental Few-shot Image Synthesis", June, 2022
