Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Junliang Xing"'
Publikováno v:
IET Computer Vision, Vol 17, Iss 8, Pp 977-992 (2023)
Abstract Recent studies reveal the crucial role of local features in learning robust and discriminative representations for person re‐identification (Re‐ID). Existing approaches typically rely on external tasks, for example, semantic segmentation
Externí odkaz:
https://doaj.org/article/c0f1d1f9a26948d29611c4ea4ebf6b94
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2899 (2024)
Pansharpening, a pivotal task in remote sensing, involves integrating low-resolution multispectral images with high-resolution panchromatic images to synthesize an image that is both high-resolution and retains multispectral information. These pansha
Externí odkaz:
https://doaj.org/article/56716d75c63843fb8e809b77d0f7a938
Publikováno v:
iScience, Vol 26, Iss 11, Pp 108179- (2023)
Summary: Cooperative AI has shown its effectiveness in solving the conundrum of cooperation. Understanding how cooperation emerges in human-agent hybrid populations is a topic of significant interest, particularly in the realm of evolutionary game th
Externí odkaz:
https://doaj.org/article/655a9bd55fe44f30a1291dd958a13c25
Publikováno v:
CAAI Artificial Intelligence Research, Vol 2, p 9150027 (2023)
Decision-making plays an essential role in various real-world systems like automatic driving, traffic dispatching, information system management, and emergency command and control. Recent breakthroughs in computer game scenarios using deep reinforcem
Externí odkaz:
https://doaj.org/article/5fa26546e2d841c38dfa82980fe2825f
Autor:
Nan Jiang, Kuiran Wang, Xiaoke Peng, Xuehui Yu, Qiang Wang, Junliang Xing, Guorong Li, Guodong Guo, Qixiang Ye, Jianbin Jiao, Jian Zhao, Zhenjun Han
Publikováno v:
IEEE Transactions on Multimedia. 25:486-500
Unmanned Aerial Vehicles (UAV) have many applications in both commerce and recreation. However, irresponsibly operated UAVs will pose a threat to public safety. Therefore, developing our understanding of UAVs and their uses is of particular interest.
Publikováno v:
IEEE Transactions on Artificial Intelligence. :1-12
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:5244-5251
Counterfactual regret minimization (CFR) is the most commonly used algorithm to approximately solving two-player zero-sum imperfect-information games (IIGs). In recent years, a series of novel CFR variants such as CFR+, Linear CFR, DCFR have been pro
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:4689-4697
Heads-up no-limit Texas hold’em (HUNL) is the quintessential game with imperfect information. Representative priorworks like DeepStack and Libratus heavily rely on counter-factual regret minimization (CFR) and its variants to tackleHUNL. However, t