Yunji Kim
I am a research scientist at NAVER AI Lab, where I've worked on generative models and representation learning. I completed my Master's degree in Computer Science at Yonsei University under the supervision of Prof. Seon Joo Kim. Previously, I received my B.S. in Astronomy and Physics at Yonsei University.
Google Scholar /
Github /
CV
|
|
|
STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment
Jaewoo Lee*,
Jaehong Yoon*,
Wonjae Kim,
Yunji Kim,
Sung Ju Hwang
ICML, 2024
code / paper
|
|
Dense Text-to-Image Generation with Attention Modulation
Yunji Kim,
Jiyoung Lee,
Jin-Hwa Kim,
Jung-Woo Ha,
Jun-Yan Zhu
ICCV, 2023
code / paper
|
|
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models
Jaewoong Lee*,
Sangwon Jang*,
Jaehyeong Jo,
Jaehong Yoon,
Yunji Kim,
Jin-Hwa Kim,
Jung-Woo Ha,
Sung Ju Hwang
ICCV, 2023
paper
|
|
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
Dong Bok Lee*,
Seanie Lee*,
Kenji Kawaguchi,
Yunji Kim,
Jihwan Bang,
Jung-Woo Ha,
Sung Ju Hwang
ICLR, 2023
paper
|
|
Mutual information divergence: A unified metric for multimodal generative models
Jin-Hwa Kim,
Yunji Kim,
Jiyoung Lee,
Kang Min Yoo,
Sang-Woo Lee
NeurIPS, 2022
code / paper
|
|
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks
Yunji Kim,
Jung-Woo Ha
ICLR, 2022   (Spotlight)
code / paper
|
|
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction
Yunji Kim,
Seonghyeon Nam,
In Cho,
Seon Joo Kim
NeurIPS, 2019
code / paper
|
|
Text-adaptive generative adversarial networks: manipulating images with natural language
Seonghyeon Nam,
Yunji Kim,
Seon Joo Kim
NeurIPS, 2018   (Spotlight)
code / paper
|
|