Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Jing, Yanqing"'
Autor:
Wang, Jiong, Yang, Fengyu, Gou, Wenbo, Li, Bingliang, Yan, Danqi, Zeng, Ailing, Gao, Yijun, Wang, Junle, Jing, Yanqing, Zhang, Ruimao
Estimating the 3D structure of the human body from natural scenes is a fundamental aspect of visual perception. 3D human pose estimation is a vital step in advancing fields like AIGC and human-robot interaction, serving as a crucial technique for und
Externí odkaz:
http://arxiv.org/abs/2309.05073
Autor:
Zhang, Youjia, Xu, Teng, Yu, Junqing, Ye, Yuteng, Wang, Junle, Jing, Yanqing, Yu, Jingyi, Yang, Wei
Recovering the physical attributes of an object's appearance from its images captured under an unknown illumination is challenging yet essential for photo-realistic rendering. Recent approaches adopt the emerging implicit scene representations and ha
Externí odkaz:
http://arxiv.org/abs/2304.00782
To further reduce the cost of semi-supervised domain adaptation (SSDA) labeling, a more effective way is to use active learning (AL) to annotate a selected subset with specific properties. However, domain adaptation tasks are always addressed in two
Externí odkaz:
http://arxiv.org/abs/2205.11192
We present a novel high-resolution face swapping method using the inherent prior knowledge of a pre-trained GAN model. Although previous research can leverage generative priors to produce high-resolution results, their quality can suffer from the ent
Externí odkaz:
http://arxiv.org/abs/2203.15958
Autor:
Wen, Shaoguo, Ling, Suiyi, Wang, Junle, Chen, Ximing, Fang, Lizhi, Jing, Yanqing, Callet, Patrick Le
Nowadays, with the vigorous expansion and development of gaming video streaming techniques and services, the expectation of users, especially the mobile phone users, for higher quality of experience is also growing swiftly. As most of the existing re
Externí odkaz:
http://arxiv.org/abs/2103.05099
Akademický článek
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Publikováno v:
2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)
2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), May 2022, Singapour, Singapore. pp.1810-1814, ⟨10.1109/ICASSP43922.2022.9746547⟩
2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), May 2022, Singapour, Singapore. pp.1810-1814, ⟨10.1109/ICASSP43922.2022.9746547⟩
International audience; Nowadays, with the vigorous expansion and development of gaming video streaming techniques and services, the expectation of users, especially the mobile phone users, for higher quality of experience is also growing swiftly. As
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01c16d7e0ff62b65e573343d8c757d07
https://doi.org/10.1109/icassp43922.2022.9746547
https://doi.org/10.1109/icassp43922.2022.9746547
Publikováno v:
CoG
Automation testing is an important approach for bug detection and analysis of software applications, especially for computer games. This paper proposes an efficient imitation method to learn game strategy from a small set of manually recorded game sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45c6bff7c20c03565fe5c39cc34211d6
https://doi.org/10.1109/cog47356.2020.9231613
https://doi.org/10.1109/cog47356.2020.9231613
Publikováno v:
ISBDAI
Most UI testing tools for mobile games are designed to help us create and run the test cases with scripts. However, these scripts must be manually updated for new test cases, which increases the test cost. In this paper, we propose a method to implem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fa30997b224ab95ffba3ad166620c34
https://doi.org/10.1145/3436286.3436297
https://doi.org/10.1145/3436286.3436297
Publikováno v:
CoG
This paper proposes an AI fighting strategies generation approach implemented in the turn-based fighting game StoneAge 2 (SA2). Our research aim is to develop such AI for choosing the logical skills and targets to the player. The approach trained the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7319fa82daf13429e387778379fcb21b
https://doi.org/10.1109/cig.2019.8848103
https://doi.org/10.1109/cig.2019.8848103