25 citations · 33 across the 6 of their papers we have counts for
6 papers
Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning
Sepidehsadat Hosseini, Mohammad Amin Shabani, Nam Ik Cho
We propose a new semi-supervised learning method on face-related tasks based on Multi-Task Learning (MTL) and data distillation. The proposed method exploits multiple datasets with…
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network
Junho Jo, Hyung Il Koo, Jae Woong Soh +1
We present a new handwritten text segmentation method by training a convolutional neural network (CNN) in an end-to-end manner. Many conventional methods addressed this problem by…
Joint High Dynamic Range Imaging and Super-Resolution from a Single Image
Jae Woong Soh, Jae Sung Park, Nam Ik Cho
This paper presents a new framework for jointly enhancing the resolution and the dynamic range of an image, i.e., simultaneous super-resolution (SR) and high dynamic range imaging…
Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks
Sepidehsadat Hosseini, Seok Hee Lee, Nam Ik Cho
Since the convolutional neural network (CNN) is be- lieved to find right features for a given problem, the study of hand-crafted features is somewhat neglected these days. In this…
Generation of High Dynamic Range Illumination from a Single Image for the Enhancement of Undesirably Illuminated Images
Jae Sung Park, Nam Ik Cho
This paper presents an algorithm that enhances undesirably illuminated images by generating and fusing multi-level illuminations from a single image.The input image is first decomp…
Self-Committee Approach for Image Restoration Problems using Convolutional Neural Network
Byeongyong Ahn, Nam Ik Cho
There have been many discriminative learning methods using convolutional neural networks (CNN) for several image restoration problems, which learn the mapping function from a degra…