1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Leveraging Multimodal Large Language Models for All-in-One Image Restoration via a Mixture of Frequency Experts
Eunho Lee, Rei Kawakami, Youngbae Hwang
All-in-one image restoration seeks to recover clean images from inputs affected by diverse and unknown degradations using a unified framework. Recent methods have shown strong perf…
cs.CV2024
Automatic Channel Pruning for Multi-Head Attention
Eunho Lee, Youngbae Hwang
Despite the strong performance of Transformers, their quadratic computation complexity presents challenges in applying them to vision tasks. Automatic pruning is one of effective m…
eess.IV2021★ 1 cited
One-to-many Approach for Improving Super-Resolution
Sieun Park, Eunho Lee
Recently, there has been discussions on the ill-posed nature of super-resolution that multiple possible reconstructions exist for a given low-resolution image. Using normalizing fl…