Chaerin Kong

According to our database, Chaerin Kong authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

ConcatPlexer: Additional Dim1 Batching for Faster ViTs.

Donghoon Han, Seunghyeon Seo, Donghyeon Jeon, Jiho Jang, Chaerin Kong, Nojun Kwak

CoRR, 2023

AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion.

Seungwoo Lee, Chaerin Kong, Donghyeon Jeon, Nojun Kwak

CoRR, 2023

Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance.

Chaerin Kong, Nojun Kwak

CoRR, 2023

Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation.

Chaerin Kong, Dong Hyeon Jeon, Ohjoon Kwon, Nojun Kwak

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Self-Distilled Self-supervised Representation Learning.

Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unifying Vision-Language Representation Space with Single-Tower Transformer.

Jiho Jang, Chaerin Kong, Donghyeon Jeon, Seonhoon Kim, Nojun Kwak

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis.

Chaerin Kong, Nojun Kwak

CoRR, 2022

Few-Shot Image Generation with Mixup-Based Distance Learning.

Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Efficient Neural Scene Graphs by Learning Consistency Fields.

Yeji Song, Chaerin Kong, Seoyoung Lee, Nojun Kwak, Joonseok Lee

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Smoothing the Generative Latent Space with Mixup-based Distance Learning.

Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak

CoRR, 2021