Aecheon Jung

According to our database, Aecheon Jung authored at least 6 papers between 2024 and 2025.

Collaborative distances:

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

2025

Training-Free Token Pruning via Zeroth-Order Gradient Estimation in Vision-Language Models.

Youngeun Kim, Youjia Zhang, Huiling Liu, Aecheon Jung, Sunwoo Lee, Sungeun Hong

CoRR, September, 2025

Dynamic Rank Adjustment for Accurate and Efficient Neural Network Training.

Hyuntak Shin, Aecheon Jung, Sungeun Hong, Sunwoo Lee

CoRR, August, 2025

Task Vector Quantization for Memory-Efficient Model Merging.

Youngeun Kim, Seunghwan Lee, Aecheon Jung, Bogon Ryu, Sungeun Hong

CoRR, March, 2025

IAM: Enhancing RGB-D Instance Segmentation with New Benchmarks.

Aecheon Jung, Soyun Choi, Junhong Min, Sungeun Hong

CoRR, January, 2025

2024

Scale-aware token-matching for transformer-based object detector.

Aecheon Jung, Sungeun Hong, Yoonsuk Hyun

Pattern Recognit. Lett., 2024

Tint Your Models Task-wise for Improved Multi-task Model Merging.

Aecheon Jung, Seunghwan Lee, Dongyoon Han, Sungeun Hong

CoRR, 2024