10 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
Reciprocal Attention Mixing Transformer for Lightweight Image Restoration
Haram Choi, Cheolwoong Na, Jihyeon Oh +6
Although many recent works have made advancements in the image restoration (IR) field, they often suffer from an excessive number of parameters. Another issue is that most Transfor…
cs.CV2023
Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair Training
Haram Choi, Cheolwoong Na, Jinseop Kim +1
As multimedia content often contains noise from intrinsic defects of digital devices, image denoising is an important step for high-level vision recognition tasks. Although several…
cs.CV2022★ 10 cited
N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution
Haram Choi, Jeongmin Lee, Jihoon Yang
While some studies have proven that Swin Transformer (Swin) with window self-attention (WSA) is suitable for single image super-resolution (SR), the plain WSA ignores the broad reg…