Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Han‐Mu Park"'
Publikováno v:
IET Computer Vision, Vol 12, Iss 3, Pp 357-363 (2018)
Recently developed object detectors rely on automatically generated object proposals, instead of using a dense sliding window search scheme; generating good object proposals has therefore become crucial for improving the computational cost and accura
Externí odkaz:
https://doaj.org/article/f5e7fc34111e4312957a8da6a809c378
Publikováno v:
2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).
Autor:
Soomin Ham, Kibaek Park, YeongJun Jang, Youngtaek Oh, Seokmin Yun, Sukwon Yoon, Chang Jo Kim, Han-Mu Park, In So Kweon
Publikováno v:
2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021).
Autor:
Chang Jo Kim, Han-Mu Park
Publikováno v:
2021 International Conference on Information and Communication Technology Convergence (ICTC).
Autor:
Yoonyoung Jeong, Han-Mu Park
Publikováno v:
2021 21st International Conference on Control, Automation and Systems (ICCAS).
Publikováno v:
ICTC
In this paper, We propose a robust keypoint normalization method for sign language translation framework using Transformer. The proposed method normalizes human keypoints based on the length of the neck-shoulder bone. The normalized keypoints are uti
Autor:
Kuk-Jin Yoon, Han-Mu Park
Publikováno v:
IEEE Transactions on Image Processing. 27:2314-2325
This paper addresses the multi-attributed graph matching problem, which considers multiple attributes jointly while preserving the characteristics of each attribute for graph matching. Since most of conventional graph matching algorithms integrate mu
Publikováno v:
IET Computer Vision. 12:357-363
Recently developed object detectors rely on automatically generated object proposals, instead of using a dense sliding window search scheme; generating good object proposals has therefore become crucial for improving the computational cost and accura
Publikováno v:
Applied Ergonomics. 62:158-167
Recent advances in three-dimensional (3D) video technology have extended the range of our experience while providing various 3D applications to our everyday life. Nevertheless, the so-called visual discomfort (VD) problem inevitably degrades the qual
Autor:
Kuk-Jin Yoon, Han-Mu Park
Publikováno v:
Machine Vision and Applications. 27:1021-1034
The problems in computer vision of finding the global correspondences across a set of images can be formulated as a multiple graph matching problem consisting of pairwise matching problems. In the multiple graph matching problem, matching consistency