RVLab @ CBNU

Robot Vision Laboratory @ Chungbuk National University
Three papers are accepted in Scientific Reports, Plos One, and Applied Science.
A paper with the title, "Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy" is accepted in Scientific Reports. A paper with the title, "Gastric examination using a novel three-dimensional magnetically assisted capsule endoscope and a hand-held magnetic controller: A porcine model study" is accepted in Plos One. A paper with the title, "Patch-Wise Infrared and Visible Image Fusion Using Spatial Adaptive Weights" is accepted in Applied Science.

We have new members, Minho Jang, Dayoung Park, Donghyun Lee and Seokmin Kim.
We have new research interns. Minho Jang and Dayoung Park are 4th grade undergraduate students, and they are interested in intelligent agriculture and activity recognition, respectively. Donghyun Lee and Seokmin Kim are 3rd grade undergraduate students, and they will proceed the researches related with Network compression and Reinforcement Learning, respectively. Welcome!

A paper is accepted in Diagnostics.
A paper with the title, "A Current and Newly Proposed Artificial Intelligence Algorithm for Reading Small Bowel Capsule Endoscopy" is accepted in Diagnostics.

We have new members, Junhyung Kim, Chung-Gi Ban and Eunsoo Bong.
We have a new postoctoral researcher, Junhyung Kim. He will proceed the research related with image classification and image processing. We have a new master student, Chung-Gi Ban. His research area is 3D object detection for grasping. We have a new research intern, Eunsoo Bong. She will conduct research on object recognition for autonomous driving. Everyone is Welcome!

Two papers are accepted in Scientific Reports and Electronics.
A paper with the title, "Development of a deep learning-based software for calculating cleansing score in small bowel capsule endoscopy" is accepted in Scientific Reports. A paper with the title, "A Survey on Deep Learning based Methods and Datasets for Monocular 3D Object Detection" is accepted in Electronics.