About
                        Computer Vision and Pattern Recognition Lab
                            
                            Welcome to the Computer Vision and Pattern Recognition (CVPR) Lab, led by
                            Prof. Jaepil Ko in the Department of Computer Engineering at the
                            esteemed College of Engineering,
                            Kumoh National Institute of Technology. 
                            Our dedicated research team delves into the realms of deep learning, computer vision, and pattern recognition to push the boundaries of visual intelligence and advance various applications in fields such as image processing, semantic segmentation, and acoustic signal processing. Join us on our journey to unravel the mysteries of visual perception and unlock the potential of cutting-edge technologies that bridge the gap between machines and the visual world.
                            
Visit Github Page
                        
Interests
Our Research Interests Include
Computer Vision
Explore cutting-edge research in computer vision algorithms, deep learning models, and image understanding.
Image Processing
Dive into the realm of image processing techniques and algorithms to enhance and manipulate visual information.
Semantic Segmentation
Achieve pixel-level understanding of images and extract meaningful insights for various applications
Acoustic Signal Processing
Delve into the unraveling the mysteries of acoustic signal processing, sound analysis and speech recognition
Projects
Some of our Highlighted Projects
- All
 - Recognition
 - Voice
 - Segmentation
 
Team
Our Lab members include
                            Prof. Jaepil Ko
Lab Head
                            Bishal Swain
Ph.D Candidate
                            Hwang Jaeyeon
UnderGraduate
                            Kim Dong Wook
UnderGraduate
                            Yun Jong-ju
UnderGraduatePapers
Papers published by the lab.
Title
Out-of-Distribution Nuclei Segmentation in Histology Imaging via Liquid Neural Networks with Modern Hopfield Layer
Date
09-2025
Title
Enhancing Nuclei Segmentation in Histology Images by Effectively Merging Task-Specific and Foundation Models
Date
12-2024
Author
Bishal Ranjan Swain, Kyung Joo Cheoi, Jaepil Ko
Published
Journal of Multimedia Information System
Title
SAM Guided Task-Specific Enhanced Nuclei Segmentation in Digital Pathology
Date
10-2024
Title
Nuclei Segmentation in Histopathological Images with Enhanced U-Net3+
Date
07-2024
Contact Us
For more information about the lab
Location:
136 Digital Building, Kumoh National Institute of Technology, 61 Daehak-ro, Gumi, Gyeongbuk 39177, Korea
Email:
nonezero@kumoh.ac.kr 
 nonezerok@gmail.com
Call:
+82 054-478-7528/9
