Vision and Image Processing Lab.
Welcome to the Vision and Image Processing(VIP) Lab.
The VIP Laboratory is a dedicated research unit operating within the Department of Mechatronics since its establishment in 2017. Serving as a focal point for comprehensive fundamental research, our primary areas of expertise encompass image processing, computer vision, and deep learning techniques.
As a specialized group, our laboratory is committed to coordinating advanced research initiatives covering all facets of image processing, computer vision, and deep learning. Our mission extends beyond academia, fostering collaboration and interaction with industrial sponsors and federal government research agencies.
What You'll Discover on Our Website:
Research Overview: Get a glimpse into the cutting-edge research currently underway in VIP, exploring innovative projects and breakthroughs.
Meet the VIP Community: Learn about our distinguished faculty, dedicated students, and accomplished alumni who contribute to the vibrancy of the VIP Lab.
Collaboration Opportunities: Explore avenues for collaboration, whether you're an industry partner seeking innovative solutions or a researcher interested in joining forces with VIP.
Academic Programs: Discover the academic programs offered by VIP, designed to nurture the next generation of experts in image processing, computer vision, and deep learning.
Research Activities: Stay informed about ongoing research activities, projects, and publications that showcase the impactful work emerging from the VIP Lab.
We invite you to explore our website for a comprehensive overview of the Vision and Image Processing Laboratory. Thank you for visiting, and we look forward to sharing the exciting developments and advancements from our dynamic research community.
NEWS
Top 3 ranked to CVPR Challenge
May, 2023
Top 3 ranked to CVPR 2023 (IEEE/CVF Conference on Computer Vision and Pattern Recognition), 6th UG2+ challenge (CVPR 2023) Track 2.2 - Coded Target Restoration through Atmospheric Turbulence. Team member: Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee
Top 10 & 8 ranked to CVPR Challenge
Top 10 ranked to Multi-modal Aerial View Image Challenge: Translation from Synthetic Aperture Radar to Electro-Optical Domain, Top 8 ranked to Multi-modal Aerial View Object Classification Challenge Team member: Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee
CVPR Workshop paper
June, 2023
4 papers accepted to CVPR Workshop 2023 (IEEE/CVF Conference on Computer Vision and Pattern Recognition), NTIRE 2023 Challenge on Image Super-Resolution (x4), NTIRE 2023 Challenge on Image Denoising, Multi-modal Aerial View Image Challenge: Translation from Synthetic Aperture Radar to Electro-Optical Domain, Multi-modal Aerial View Object Classification Challenge (Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee)
Accepted
March, 2024
IEEE Access (IF: 3.9, Rank: 36.36%)
Fractals (IF: 4.7, Rank: 10.28%)
September, 2023
Information Fusion (IF: 18.6, Rank: 1.8%)
Expert Systems With Applications(IF: 8.5, Rank: 6.9%)
August, 2023
IEEE Journal of Biomedical and Health Informatics (IF: 7.7, Rank: 7%)
May, 2023
IEEE Internet of Things Journal(IF: 10.238, Rank: 5%)
Under revision
Jan, 2024
Deep Learning for Synthetic Aperture Radar Imagery-based Target Recognition
Welcome
May, 2024
Kanchan Keisham (PostDoc.)y
Open positions
Ph.D / Postdoc positions
Image and Vision Computing lab mostly focuses on the integration of computer vision and deep learning in the areas of thermal imaging, and tiny object tracking.
Profile of the candidate:
MS and/or Ph.D. in Computer science with majors in computer vision, deep learning, or related field.
Experience in Machine Learning, Deep Learning, Image Processing, Statistics.
Experienced in Scientific Interpretation and Analysis of Data.
Strong Programming Skills Python/MATLAB/C/C++
Proven record of scientific publications in International Peer Reviewed journals
Critical and Organized sense for data analysis
Maturity and Commitment
Strong Communication, Presentation, and Writing Skills
Collaborative Team Player
Tasks
Research and Development in Project Activities
SW: Object Tracking & Aiming, Detection, Recognition, Identification, Classification, De-noising, De-blurring, De-haze, Image Registration & Fusion
HW: Xilinx, Nvidia, TI, FPGA, DSP, SOC, etc.
Responsibility to Deliver and Report
Collaborate and Coordinate with team of researchers.
Publish in International Peer-reviewed Journals and Conference Venues
Potential candidates can also be offered a job in a startup associated with the lab.
Interested candidates can send their CV, publication list, and list of 2 referees to Professor at ihlee@tukorea.ac.kr
