most citedNoise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated Convolutional Kernel Architecture

5 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20211 cited

MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis

JunYoung Choi, Hakjun Lee, Suyeon Kim +2

Neurons have a polarized structure, including dendrites and axons, and compartment-specific functions can be affected by dwelling mitochondria. It is known that the morphology of m…

cs.CV2021

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…

eess.IV20205 cited

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…

cs.CV20202 cited

Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with Consistency

Hyeonsoo Lee, Won-Ki Jeong

Segmentation is a fundamental process in microscopic cell image analysis. With the advent of recent advances in deep learning, more accurate and high-throughput cell segmentation h…

cs.CV20201 cited

Reinforced Coloring for End-to-End Instance Segmentation

Tuan Tran Anh, Khoa Nguyen-Tuan, Tran Minh Quan +1

Instance segmentation is one of the actively studied research topics in computer vision in which many objects of interest should be separated individually. While many feed-forward…