Chae Jung Park

According to our database, Chae Jung Park authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

SOUPLE: Enhancing Audio-Visual Localization and Segmentation with Learnable Prompt Contexts.

Khanh-Binh Nguyen, Chae Jung Park

CoRR, March, 2026

2025

Deep learning-based reconstruction for three-dimensional volumetric brain MRI: a qualitative and quantitative assessment.

Yeseul Kang, Sang-Young Kim, Jun Hwee Kim, Nak-Hoon Son, Chae Jung Park

BMC Medical Imaging, December, 2025

AMRG: Extend Vision Language Models for Automatic Mammography Report Generation.

Nak-Jun Sung, Donghyun Lee, Bo Hwa Choi, Chae Jung Park

CoRR, August, 2025

SAVE: Segment Audio-Visual Easy way using the Segment Anything Model.

Khanh-Binh Nguyen, Chae Jung Park

Comput. Vis. Image Underst., 2025

Simplifying Masked Image Modeling With Symmetric Masking and Contrastive Learning.

Khanh-Binh Nguyen, Chae Jung Park

IEEE Access, 2025

On Calibration of Prompt Learning Using Temperature Scaling.

Khanh-Binh Nguyen, Chae Jung Park

IEEE Access, 2025

Symmetric masking strategy enhances the performance of Masked Image Modeling.

Khanh-Binh Nguyen, Chae Jung Park

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

RETRO: Reusing teacher projection head for efficient embedding distillation on Lightweight Models via Self-supervised Learning.

Khanh-Binh Nguyen, Chae Jung Park

Proceedings of the 35th British Machine Vision Conference, 2024