no code implementations • 3 Sep 2023 • Hye-Geun Kim, YouKyoung Na, Hae-Won Joe, Yong-Hyuk Moon, Yeong-Jun Cho
Vehicle re-identification (ReID) in a large-scale camera network is important in public safety, traffic control, and security.
no code implementations • 21 Jul 2021 • Yeong-Jun Cho
Using the proposed metric, we expect more flexible and intuitive evaluation in semantic segmentation filed are possible.
no code implementations • 30 Mar 2021 • 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.
no code implementations • 1 Dec 2017 • Yeong-Jun Cho, Kuk-Jin Yoon
The proposed distance-based topology can be applied adaptively to each person according to its speed and handle diverse transition time of people between non-overlapping cameras.
no code implementations • 3 Oct 2017 • Yeong-Jun Cho, Su-A Kim, Jae-Han Park, Kyuewang Lee, Kuk-Jin Yoon
Person re-identification is the task of recognizing or identifying a person across multiple views in multi-camera networks.
no code implementations • 17 May 2017 • Yeong-Jun Cho, Kuk-Jin Yoon
Person re-identification is the problem of recognizing people across different images or videos with non-overlapping views.
no code implementations • 24 Apr 2017 • Yeong-Jun Cho, Jae-Han Park, Su-A Kim, Kyuewang Lee, Kuk-Jin Yoon
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 and people.
no code implementations • CVPR 2016 • Yeong-Jun Cho, Kuk-Jin Yoon
Person re-identification is the problem of recognizing people across images or videos from non-overlapping views.