Eunho Lee

According to our database, Eunho Lee authored at least 17 papers between 2018 and 2026.

Collaborative distances:

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

2026

Leveraging Multimodal Large Language Models for All-in-One Image Restoration via a Mixture of Frequency Experts.

Eunho Lee, Rei Kawakami, Youngbae Hwang

CoRR, May, 2026

Clutt3R-Seg: Sparse-view 3D Instance Segmentation for Language-grounded Grasping in Cluttered Scenes.

Jeongho Noh, Tai Hyoung Rhee, Eunho Lee, Jeongyun Kim, Sunwoo Lee, Ayoung Kim

CoRR, February, 2026

Informative Object-centric Next Best View for Object-aware 3D Gaussian Splatting in Cluttered Scenes.

Seunghoon Jeong, Eunho Lee, Jeongyun Kim, Ayoung Kim

CoRR, February, 2026

AMAP: Automatic Multihead Attention Pruning by Similarity-Based Pruning Indicator.

Eunho Lee, Youngbae Hwang

IEEE Trans. Neural Networks Learn. Syst., January, 2026

2025

THE-Pose: Topological Prior with Hybrid Graph Fusion for Estimating Category-Level 6D Object Pose.

Eunho Lee, Chaehyeon Song, Seunghoon Jeong, Ayoung Kim

CoRR, December, 2025

Pruning networks at once via nuclear norm-based regularization and bi-level optimization.

Donghyeon Lee, Eunho Lee, Jaehyuk Kang, Youngbae Hwang

Comput. Vis. Image Underst., 2025

Identification and Classification of Adverse Road Traffic Features Impacting Autonomous Vehicles Under Naturalistic Driving Conditions.

Eunho Lee, Sungmin Yoo, Junho Park, Jaehyun So

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

2024

Automatic Channel Pruning for Multi-Head Attention.

Eunho Lee, Youngbae Hwang

CoRR, 2024

Toward Robust LiDAR based 3D Object Detection via Density-Aware Adaptive Thresholding.

Eunho Lee, Minwoo Jung, Ayoung Kim

CoRR, 2024

Decomformer: Decompose Self-Attention of Transformer for Efficient Image Restoration.

Eunho Lee, Youngbae Hwang

IEEE Access, 2024

Pruning from Scratch via Shared Pruning Module and Nuclear norm-based Regularization.

Donghyeon Lee, Eunho Lee, Youngbae Hwang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Lossless Reconstruction of Convolutional Neural Network for Channel-Based Network Pruning.

Donghyeon Lee, Eunho Lee, Youngbae Hwang

Sensors, February, 2023

NeuroFlow: Development of lightweight and efficient model integration scheduling strategy for autonomous driving system.

Eunbin Seo, Gwanjun Shin, Eunho Lee

CoRR, 2023

ALiGN: Attention based Line Guided Network for Vertebral Comprssion Fracture Detection.

Yurim Lee, Eunho Lee, Il-tae Jang

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021

One-to-many Approach for Improving Super-Resolution.

Sieun Park, Eunho Lee

CoRR, 2021

2019

Toward an interpretable Alzheimer's disease diagnostic model with regional abnormality representation via deep learning.

Eunho Lee, Jun-Sik Choi, Minjeong Kim, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative

NeuroImage, 2019

2018

Regional Abnormality Representation Learning in Structural MRI for AD/MCI Diagnosis.

Jun-Sik Choi, Eunho Lee, Heung-Il Suk

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018