Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Guanting Dong"'
Publikováno v:
IEEE Access, Vol 6, Pp 53141-53152 (2018)
Micro-scale cracks on the surface of a magnetic rotor are difficult to detect because of the formation of stains. A method that is based on computer vision and a support vector machine (SVM) that can accurately and rapidly locate micro-scale cracks a
Externí odkaz:
https://doaj.org/article/6a3fac278dee450f9911c8c4cd826910
Autor:
Guanting Dong, Zechen Wang, Liwen Wang, Daichi Guo, Dayuan Fu, Yuxiang Wu, Chen Zeng, Xuefeng Li, Tingfeng Hui, Keqing He, Xinyue Cui, Qixiang Gao, Weiran Xu
Few-shot named entity recognition (NER) aims at identifying named entities based on only few labeled instances. Most existing prototype-based sequence labeling models tend to memorize entity mentions which would be easily confused by close prototypes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02c3f37b98af6cfdda275f47155f0380
http://arxiv.org/abs/2302.13610
http://arxiv.org/abs/2302.13610
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04ae17997a0d626a3fdedb0304afe6d5
https://doi.org/10.1145/3503161.3547771
https://doi.org/10.1145/3503161.3547771
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ede189c0eb85ef159ad61a9a1471a10d
https://doi.org/10.1109/cvpr52688.2022.01244
https://doi.org/10.1109/cvpr52688.2022.01244
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585853
ECCV (24)
ECCV (24)
Time-of-Flight (ToF) sensors have been increasingly used on mobile devices for depth sensing. However, the existence of noise, such as Multi-Path Interference (MPI) and shot noise, degrades the ToF imaging quality. Previous CNN-based methods remove T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f30af5510971552e1fa09939466049c6
https://doi.org/10.1007/978-3-030-58586-0_3
https://doi.org/10.1007/978-3-030-58586-0_3
Publikováno v:
IEEE Access, Vol 6, Pp 53141-53152 (2018)
Micro-scale cracks on the surface of a magnetic rotor are difficult to detect because of the formation of stains. A method that is based on computer vision and a support vector machine (SVM) that can accurately and rapidly locate micro-scale cracks a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbdc9e476a1fd50b58468cc14d3c4520
https://doi.org/10.1109/access.2018.2870435
https://doi.org/10.1109/access.2018.2870435
Autor:
Andrey Ignatov, Jagruti Patel, Radu Timofte, Bolun Zheng, Xin Ye, Li Huang, Xiang Tian, Saikat Dutta, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Zhiwei Xiong, Jie Huang, Guanting Dong, Mingde Yao, Dong Liu, Ming Hong, Wenying Lin, Yanyun Qu, Jae-Seok Choi, Woonsung Park, Munchurl Kim, Rui Liu, Xiangyu Mao, Chengxi Yang, Qiong Yan, Wenxiu Sun, Junkai Fang, Meimei Shang, Fei Gao, Sujoy Ghosh, Prasen Kumar Sharma, Arijit Sur, Wenjin Yang
Publikováno v:
ICCV Workshops
This paper reviews the first AIM challenge on bokeh effect synthesis with the focus on proposed solutions and results. The participating teams were solving a real-world image-to-image mapping problem, where the goal was to map standard narrow-apertur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71c69444703095c116a916c3de8b75f5
https://doi.org/10.1109/iccvw.2019.00444
https://doi.org/10.1109/iccvw.2019.00444
Autor:
Wang, Song1 (AUTHOR) sw3wv@virginia.edu, Zhu, Yaochen1 (AUTHOR) uqp4qh@virginia.edu, Liu, Haochen1 (AUTHOR) sat2pv@virginia.edu, Zheng, Zaiyi1 (AUTHOR) sjc4fq@virginia.edu, Chen, Chen1 (AUTHOR) zrh6du@virginia.edu, Li, Jundong1 (AUTHOR) jundong@virginia.edu
Publikováno v:
ACM Computing Surveys. Mar2025, Vol. 57 Issue 3, p1-37. 37p.
Autor:
Hou, Xinyi, Zhao, Yanjie, Liu, Yue, Yang, Zhou, Wang, Kailong, Li, Li, Luo, Xiapu, Lo, David, Grundy, John, Wang, Haoyu
Publikováno v:
ACM Transactions on Software Engineering & Methodology; Nov2024, Vol. 33 Issue 8, p1-79, 79p
Publikováno v:
ACM Transactions on Information Systems; Sep2024, Vol. 42 Issue 5, p1-32, 32p