Welcome to the PRML Lab!

The PRML Lab at Gachon University is led by Prof. Sang-Woong Lee. We mainly focus on developing computer vision algorithms for tasks like face recognition, action recognition, cancer detection, parking-lot occupancy detection, intelligent solar panel fault detection, etc. We are mainly interested in the following research areas:

  • Face Recognition
  • Action Recognition
  • Medical Image Analysis
  • Object Classification
  • Image Segmentation
  • Object Detection
  • Bioinformatics

Recent News

Mr. Baidya has received an award, the best presentation, in Domestic Conference on KING, May 2021.

Mr. Sahadev's paper, "Deep Multi-Scale Attentional Features for Medical Image Segmentation" has been accepted in Applied Soft Computing, April 2021.

Dr. My's paper, "HI-GAN: A Hierarchical Generative Adversarial Network for Blind Denoising of Real Photographs" has been accepted in Information Sciences, April 2021.

Mr. H.-C. Park received the bronze award in ACM ICEA2020, December 2020.

Mr. Sahadev got the best result on MEDICO challenge, December 2020.

Selected publications

D. M. Vo, D. M. Nguyen, and S.-W. Lee, "HI-GAN: A Hierarchical Generative Adversarial Network for Blind Denoising of Real Photographs," Information Sciences, Vol. 570, pp. 225-240, September 2021( IF: 6.795 / Rank: 3.99% within Rank 10%).

S. Poudel and S.-W. Lee, "Deep Multi-Scale Attentional Features for Medical Image Segmentation," Applied Soft Computing, Vol. 109, September 2021, 107445(IF: 6.725 within Rank 10%).

D. M. Vo, N.-Q. Nguyen, and S.-W. Lee, "Classification of Breast Cancer Histology Images Using Incremental Boosting Convolution Networks," Information Sciences, Vol. 482, May 2019, pp. 123-138(IF: 5.910 within Rank 10%).

D. M. Vo and S.-W. Lee, "Robust Face Recognition Using Hierarchical Collaborative Representation," Information Sciences, Vol. 432, March 2018, pp. 332-346(IF: 5.910 within Rank 10%)

C. Henry and S.-W. Lee, "Automatic Trimap Generation and Artifact Reduction in Alpha Matte using Unknown Region Detection," Expert Systems with Applications, Vol. 133, November 2019, pp. 242-259.(IF: 5.452 within Rank 10%).

Project In progress

Mixed Deep Learning Model based on Semi-Supervised Learning using Non-Labeled Medical Image

Multilateral Modeling for Assessing Biological Response to Indoor Airborne Biohazards

Development of Smart Signage Technology for Automatic Classification of Untact Examination and Patient Status Based on AI

AI-based Medical Information Analysis - Artificial Intelligence Health Care Research Center

Smart Hearing Aid with improved SNR by AI

Development of Intelligent Software Technologies for Medical Data Analysis