Difference between revisions of "Chaerin Kong"
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+ | <li> '''Chaerin Kong''', Nojun Kwak, [https://reyllama.github.io/MGG "Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance"], January, 2023 | ||
<li> '''Chaerin Kong''', Nojun Kwak, [https://arxiv.org/abs/2207.14491 "Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Incremental Few-shot Image Synthesis"], June, 2022 | <li> '''Chaerin Kong''', Nojun Kwak, [https://arxiv.org/abs/2207.14491 "Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Incremental Few-shot Image Synthesis"], June, 2022 | ||
</ul> | </ul> |
Revision as of 13:11, 29 January 2023
Chaerin Kong (공채린)
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Research Interest: Generative Models, Vision-Language, Data-efficient Learning
Work Experience
Publication
- International Conferences
- Jiho Jang*, Chaerin Kong*, Donghyeon Jeon, Seonhoon Kim, Nojun Kwak, "Unifying Vision-Language Representation Space with Single-tower Transformer", AAAI, Feb. 2023.
- Chaerin Kong, Donghyeon Jeon, Ohjoon Kwon, Nojun Kwak, "Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation", WACV, Jan. 2023.
- Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak, "Self-Distilled Self-Supervised Representation Learning", WACV, Jan. 2023.
- Yeji Song, Chaerin Kong, Seo Young Lee, Joonseok Lee, Nojun Kwak, "Towards Efficient Neural Scene Graphs by Learning Consistency Fields", BMVC, Nov. 2022.
- Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak, "Few-shot Image Generation with Mixup-based Distance Learning", ECCV, Oct. 2022.
- Under Review
- Chaerin Kong, Nojun Kwak, "Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance", January, 2023
- Chaerin Kong, Nojun Kwak, "Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Incremental Few-shot Image Synthesis", June, 2022