61 citations · 198 across the 6 of their papers we have counts for
6 papers
Weighted Intersection over Union (wIoU) for Evaluating Image Segmentation
Yeong-Jun Cho
In recent years, many semantic segmentation methods have been proposed to predict label of pixels in the scene. In general, we measure area prediction errors or boundary prediction…
Product Inspection Methodology via Deep Learning: An Overview
Tae-Hyun Kim, Hye-Rin Kim, Yeong-Jun Cho
In this work, we present a framework for product quality inspection based on deep learning techniques. First, we categorize several deep learning models that can be applied to prod…
Distance-based Camera Network Topology Inference for Person Re-identification
Yeong-Jun Cho, Kuk-Jin Yoon
In this paper, we propose a novel distance-based camera network topology inference method for efficient person re-identification. To this end, we first calibrate each camera and es…
Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras
Yeong-Jun Cho, Su-A Kim, Jae-Han Park +2
Person re-identification is the task of recognizing or identifying a person across multiple views in multi-camera networks. Although there has been much progress in person re-ident…
PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification
Yeong-Jun Cho, Kuk-Jin Yoon
Person re-identification is the problem of recognizing people across different images or videos with non-overlapping views. Although there has been much progress in person re-ident…
Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks
Yeong-Jun Cho, Jae-Han Park, Su-A Kim +2
Person re-identification in large-scale multi-camera networks is a challenging task because of the spatio-temporal uncertainty and high complexity due to large numbers of cameras a…