Seo-Bin Hwang, Han-Young Kim, Chae-Yeon Heo, Sung Ju Jung, Hieyong Jeong and Yeong-Jun Cho
"Flatfish Disease Detection Based on Part Segmentation Approach and Disease Image Generation",
under review, 2024
[arxiv][dataset]

Seo-Bin Hwang, Han-Young Kim, Chae-Yeon Heo, You-Kyoung Na and Yeong-Jun Cho
"3D Trajectory Reconstruction of Drones using a Single Camera",
under review, 2024
[arxiv][supplementary][dataset]

Yeong-Jun Cho
"Weighted Intersection over Union (wIoU) for Evaluating Image Segmentation",
Pattern Recognition Letters, 2024, (IF. 3.9)
[paper][arxiv][code]

Hye-Geun Kim, You-Kyoung Na, Hae-Won Jo, Yong-Hyuk Moon and Yeong-Jun Cho
"Re-identification Based on Spatial-temporal Fusion Network",
International Conference on Pattern Recognition (ICPR), 2024
[paper][arxiv][code][poster]

Hye-Geun Kim, YouKyoung Na, Hae-Won Joe, Yong-Hyuk Moon, Yeong-Jun Cho
"Vehicle Re-identification with Spatio-temporal Information",
International Conference on ICT Convergence (ICTC), 2023 [paper]

Han-Wool Kim, Choonsung Shin and Yeong-Jun Cho
"Human Motion Prediction by Combining Spatial and Temporal Information with Independent Global Orientation", 
IEEE ACCESS, 2023, (IF. 3.9)
[paper]

Yeong-Jun Cho and DoHyung Kim
"Rethinking Multi-Object Tracking based on Re-identification and Appearance Model Management",
IEEE ACCESS, 2023, (IF. 3.9) - First and corresponding author
[paper]

Joon-Hyung Park*, Yeong-Seok Kim*, Hwi Seo and Yeong-Jun Cho
"Analysis of Training Deep Learning Models for PCB Defect Detection",
SENSORS, 2023, (IF. 3.9)
[paper]

Tae-Hyun Kim*, Hye-Rin Kim* and Yeong-Jun Cho
"Product Inspection Methodology via Deep Learning: An Overview",
SENSORS, 2021, (IF. 3.847)
[paper]

Yeong-Jun Cho and Kuk-Jin Yoon
"Distance-based Camera Network Topology Inference for Person Re-identification",
Pattern Recognition Letters, 2019, (IF. 3.255)
[paper]

Yeong-Jun Cho, Su-A Kim, Jae-Han Park, Kyuewang Lee and Kuk-Jin Yoon
"Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras",
Computer Vision and Image Understanding (CVIU), 2019, (IF. 3.121)
[paper]

Yeong-Jun Cho and Kuk-Jin Yoon
"PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification",
IEEE Transactions on Image Processing (TIP), 2018, (IF. 6.790)
[paper]

Yeong-Jun Cho, Jae-Han Park, Su-A Kim, Kyuewang Lee and Kuk-Jin Yoon
"Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks",
IEEE International Conference on Computer Vision Workshops (ICCVW), 2017
[paper][workshop page]

Yeong-Jun Cho and Kuk-Jin Yoon
"Improving Person Re-identification via Pose-aware Multi-shot Matching",
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016
[paper] [supplementary]

Yeong-Jun Cho, Seung-Hwan Bae and Kuk-Jin Yoon
"Multi-Classifier-based Automatic Polyp Detection in Endoscopic Images",
Journal of Medical and Biological Engineering (JMBE), 2016, (IF. 1.018)
[paper]