13 citations · 14 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 13 cited
SageMix: Saliency-Guided Mixup for Point Clouds
Sanghyeok Lee, Minkyu Jeon, Injae Kim +2
Data augmentation is key to improving the generalization ability of deep learning models. Mixup is a simple and widely-used data augmentation technique that has proven effective in…
cs.CV2021★ 1 cited
Point Cloud Augmentation with Weighted Local Transformations
Sihyeon Kim, Sanghyeok Lee, Dasol Hwang +3
Despite the extensive usage of point clouds in 3D vision, relatively limited data are available for training deep neural networks. Although data augmentation is a standard approach…
cs.CV2018
Image Restoration by Estimating Frequency Distribution of Local Patches
Jaeyoung Yoo, Sang-ho Lee, Nojun Kwak
In this paper, we propose a method to solve the image restoration problem, which tries to restore the details of a corrupted image, especially due to the loss caused by JPEG compre…