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Chaerin Kong
Chaerin Kong
AI Research Scientist, NXN Labs
Verified email at nxn.ai - Homepage
Title
Cited by
Cited by
Year
Few-shot image generation with mixup-based distance learning
C Kong, J Kim, D Han, N Kwak
European conference on computer vision, 563-580, 2022
25*2022
Leveraging off-the-shelf diffusion model for multi-attribute fashion image manipulation
C Kong, DH Jeon, O Kwon, N Kwak
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
122023
Self-distilled self-supervised representation learning
J Jang, S Kim, K Yoo, C Kong, J Kim, N Kwak
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
82023
Unifying vision-language representation space with single-tower transformer
J Jang, C Kong, D Jeon, S Kim, N Kwak
Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 980-988, 2023
62023
Towards Efficient Neural Scene Graphs by Learning Consistency Fields
Y Song, C Kong, S Lee, N Kwak, J Lee
arXiv preprint arXiv:2210.04127, 2022
42022
AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion
S Lee, C Kong, D Jeon, N Kwak
arXiv preprint arXiv:2305.04001, 2023
32023
ConcatPlexer: Additional Dim1 Batching for Faster ViTs
D Han, S Seo, D Jeon, J Jang, C Kong, N Kwak
arXiv preprint arXiv:2308.11199, 2023
2023
Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance
C Kong, N Kwak
arXiv preprint arXiv:2302.10305, 2023
2023
Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis
C Kong, N Kwak
arXiv preprint arXiv:2207.14491, 2022
2022
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Articles 1–9