Yeji Song

According to our database, Yeji Song authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

Targeted Data Protection for Diffusion Model by Matching Training Trajectory.

Hojun Lee, Mijin Koo, Yeji Song, Nojun Kwak

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Point-to-Point: Sparse Motion Guidance for Controllable Video Editing.

Yeji Song, Jaehyun Lee, Mijin Koo, JunHoo Lee, Nojun Kwak

CoRR, November, 2025

Differential privacy in statistical queries for synthetic trajectories generated by generative adversarial networks.

Jihwan Shin, Yeji Song, Minsoo Jang, Jinhyun Ahn, Taewhi Lee, Dong-Hyuk Im

Connect. Sci., 2025

Smart Contract Vulnerability Detection Using Large Language Models and Graph Structural Analysis.

Ra-Yeon Choi, Yeji Song, Minsoo Jang, Taekyung Kim, Jinhyun Ahn, Dong-Hyuk Im

Comput. Mater. Continua, 2025

ReFlex: Text-Guided Editing of Real Images in Rectified Flow via Mid-Step Feature Extraction and Attention Adaptation.

Jimyeong Kim, Jungwon Park, Yeji Song, Nojun Kwak, Wonjong Rhee

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization.

Yeji Song, Jimyeong Kim, Wonhark Park, Wonsik Shin, Wonjong Rhee, Nojun Kwak

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Advanced Trajectory Privacy Protection with Attention Mechanism and Auxiliary Classifier Generative Adversarial Networks.

Jihwan Shin, Yeji Song, Yoo-Young Cheong, Jinhyun Ahn, Taewhi Lee, Dong-Hyuk Im

Proceedings of the International Conference on Information Networking, 2024

SAVE: Protagonist Diversification with Structure Agnostic Video Editing.

Yeji Song, Wonsik Shin, Junsoo Lee, Jeesoo Kim, Nojun Kwak

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Generating Labeled Multiple Attribute Trajectory Data With Selective Partial Anonymization Based on Exceptional Conditional Generative Adversarial Network.

Yeji Song, Jihwan Shin, Jinhyun Ahn, Taewhi Lee, Dong-Hyuk Im

IEEE Access, 2023

Finding Efficient Pruned Network via Refined Gradients for Pruned Weights.

Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Except-Condition Generative Adversarial Network for Generating Trajectory Data.

Yeji Song, Jihwan Shin, Jinhyun Ahn, Taewhi Lee, Dong-Hyuk Im

Proceedings of the Database and Expert Systems Applications, 2023

TCAC-GAN: Synthetic Trajectory Generation Model Using Auxiliary Classifier Generative Adversarial Networks for Improved Protection of Trajectory Data.

Jihwan Shin, Yeji Song, Jinhyun Ahn, Taewhi Lee, Dong-Hyuk Im

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

2022

MD3D: Mixture-Density-Based 3D Object Detection in Point Clouds.

Jaeseok Choi, Yeji Song, Yerim Kim, Jaeyoung Yoo, Nojun Kwak

IEEE Access, 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

Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights.

Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak

CoRR, 2021

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud.

Jaeseok Choi, Yeji Song, Nojun Kwak

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021