Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Kyuewang Lee"'
Autor:
DongKi Noh, Changki Sung, Teayoung Uhm, WooJu Lee, Hyungtae Lim, Jaeseok Choi, Kyuewang Lee, Dasol Hong, Daeho Um, Inseop Chung, Hochul Shin, MinJung Kim, Hyoung-Rock Kim, SeungMin Baek, Hyun Myung
In robotics and computer vision communities, extensive studies have been widely conducted regarding surveillance tasks, including human detection, tracking, and motion recognition with a camera. Additionally, deep learning algorithms are widely utili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7676ff025e711438d50a4767b0c45543
http://arxiv.org/abs/2212.14574
http://arxiv.org/abs/2212.14574
Autor:
Kyuewang Lee, Jin Young Choi
Publikováno v:
2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::045ce41f49800839e90a5a810629825a
https://doi.org/10.1109/avss56176.2022.9959333
https://doi.org/10.1109/avss56176.2022.9959333
Publikováno v:
2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::100b8ed2f179bb6eb5520aa6f803178c
https://doi.org/10.1109/avss56176.2022.9959442
https://doi.org/10.1109/avss56176.2022.9959442
Publikováno v:
Machine Vision and Applications. 32
To tackle problems arising from unexpected camera motions in unmanned aerial vehicles (UAVs), we propose a three-mode ensemble tracker where each mode specializes in distinctive situations. The proposed ensemble tracker is composed of appearance-base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d1e777d2b39587662b33a94f18e0de9
https://doi.org/10.1007/s00138-021-01181-x
https://doi.org/10.1007/s00138-021-01181-x
Autor:
Emmanouil Michail, Kaiwen Duan, Haibin Ling, Zhipeng Deng, Shengyin Zhu, Wenhao Wang, Jing Li, Dawei Du, Xiaotong Li, Wei Tian, Sihang Wu, Qianqian Xu, Jin-Young Choi, Konstantinos Avgerinakis, Xinbin Luo, Yong Wang, Qinghua Hu, Jian Cheng, Chunlei Liu, Hanlin Chen, Asanka G. Perera, Ioannis Kompatsiaris, Peizhen Zhang, Stefanos Vrochidis, Jiaqing Fan, Yaxuan Li, Ke Song, Ruixin Zhang, Wei Zhang, Yuankai Qi, Robert Laganiere, Jinyu Yang, Xiaohao He, Dongdong Li, Wenrui Ding, Weidong Chen, Qingshan Liu, Kaihua Zhang, Hao Liu, Xiao Bian, Baochang Zhang, Haotian Wu, Yifan Yang, Wenya Ma, Qinqin Nie, Juanping Zhao, Xin Zhang, Yifan Zhang, Zhiqun He, Yangliu Kuai, Lianjie Wang, Qingming Huang, Yanyun Zhao, Jongwon Choi, Lu Ding, Jie Zhang, Hao Cheng, Qiang Wang, Xiaoyu Liu, Martin Lauer, Haojie Li, Weiming Hu, Panagiotis Giannakeris, Byeongho Heo, Wenhua Zhang, Kyuewang Lee, Chenfeng Liu, Yang Meng, Pengfei Zhu, Sangdoo Yun, Longyin Wen, Jungong Han, Xixi Hu
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110208
ECCV Workshops (5)
ECCV Workshops (5)
Single-object tracking, also known as visual tracking, on the drone platform attracts much attention recently with various applications in computer vision, such as filming and surveillance. However, the lack of commonly accepted annotated datasets an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8bd5a6d5eaf4c70c9ba568f34c17dc6
https://doi.org/10.1007/978-3-030-11021-5_28
https://doi.org/10.1007/978-3-030-11021-5_28
Publikováno v:
ICCV
We propose a symmetric graph convolutional autoencoder which produces a low-dimensional latent representation from a graph. In contrast to the existing graph autoencoders with asymmetric decoder parts, the proposed autoencoder has a newly designed de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::872bfabe6da6863805f7942576e42cd3
Publikováno v:
The Bone & Joint Journal. :1656-1661
AimsThe aim of the study was to develop a quantitative scoring system to predict whether a large-to-massive rotator cuff tear was arthroscopically reparable prior to surgery.Patients and MethodsWe conducted a retrospective review of the pre-operative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a8c8ca68bb228a9a6f63f63026ea5d9
https://doi.org/10.1302/0301-620x.98b12.bjj-2016-0316
https://doi.org/10.1302/0301-620x.98b12.bjj-2016-0316
Autor:
Jiyeoup Jeong, Yiannis Demiris, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Hyung Jin Chang, Jin Young Choi, Jongwon Choi
Publikováno v:
IEEE Conference on Computer Vision and Pattern Recognition
CVPR
CVPR
We propose a new context-aware correlation filter based tracking framework to achieve both high computational speed and state-of-the-art performance among real-time trackers. The major contribution to the high computational speed lies in the proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18e0f71e0ea7ff0de7e8267bbdd7c7f1
http://hdl.handle.net/10044/1/58334
http://hdl.handle.net/10044/1/58334
Publikováno v:
ICCV Workshops
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. To handle these difficulties, additional information such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5108d7682b896bb068b6bc560877c76
http://arxiv.org/abs/1704.07085
http://arxiv.org/abs/1704.07085
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-identification, person re-identification in large-scale multi-camera networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7098b699bc3387cdd188f7cde3e32fee