5 citations · 5 across the 4 of their papers we have counts for
4 papers
Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization
Hyun-Jic Oh, Kanggeun Lee, Won-Ki Jeong
Current state-of-the-art supervised deep learning-based segmentation approaches have demonstrated superior performance in medical image segmentation tasks. However, such supervised…
I2V: Towards Texture-Aware Self-Supervised Blind Denoising using Self-Residual Learning for Real-World Images
Kanggeun Lee, Kyungryun Lee, Won-Ki Jeong
Although the advances of self-supervised blind denoising are significantly superior to conventional approaches without clean supervision in synthetic noise scenarios, it shows poor…
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising
Kanggeun Lee, Won-Ki Jeong
With the advent of advances in self-supervised learning, paired clean-noisy data are no longer required in deep learning-based image denoising. However, existing blind denoising me…
Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated Convolutional Kernel Architecture
Kanggeun Lee, Won-Ki Jeong
With the advent of recent advances in unsupervised learning, efficient training of a deep network for image denoising without pairs of noisy and clean images has become feasible. H…