20 citations · 31 across the 3 of their papers we have counts for
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cs.CV2019★ 20 cited
S3: A Spectral-Spatial Structure Loss for Pan-Sharpening Networks
Jae-Seok Choi, Yongwoo Kim, Munchurl Kim
Recently, many deep-learning-based pan-sharpening methods have been proposed for generating high-quality pan-sharpened (PS) satellite images. These methods focused on various types…
cs.CV2018★ 10 cited
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey Ignatov, Radu Timofte, Thang Van Vu +45
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. The challenge consisted of two tra…
cs.CV2017★ 1 cited
Single Image Super-Resolution Using Lightweight CNN with Maxout Units
Jae-Seok Choi, Munchurl Kim
Rectified linear units (ReLU) are well-known to be helpful in obtaining faster convergence and thus higher performance for many deep-learning-based applications. However, networks…