Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sun, Huyang"'
Autor:
Xie, Yu, Qiao, Qian, Gao, Jun, Wu, Tianxiang, Fan, Jiaqing, Zhang, Yue, Zhang, Jielei, Sun, Huyang
More and more end-to-end text spotting methods based on Transformer architecture have demonstrated superior performance. These methods utilize a bipartite graph matching algorithm to perform one-to-one optimal matching between predicted objects and a
Externí odkaz:
http://arxiv.org/abs/2408.00355
Autor:
Cui, Ran, Qian, Tianwen, Peng, Pai, Daskalaki, Elena, Chen, Jingjing, Guo, Xiaowei, Sun, Huyang, Jiang, Yu-Gang
Video moment retrieval aims at finding the start and end timestamps of a moment (part of a video) described by a given natural language query. Fully supervised methods need complete temporal boundary annotations to achieve promising results, which is
Externí odkaz:
http://arxiv.org/abs/2204.09409
Many deep learning based video compression artifact removal algorithms have been proposed to recover high-quality videos from low-quality compressed videos. Recently, methods were proposed to mine spatiotemporal information via utilizing multiple nei
Externí odkaz:
http://arxiv.org/abs/2105.14962
Choreography refers to creation of dance steps and motions for dances according to the latent knowledge in human mind, where the created dance motions are in general style-specific and consistent. So far, such latent style-specific knowledge about da
Externí odkaz:
http://arxiv.org/abs/2104.14802
Video compression artifact reduction aims to recover high-quality videos from low-quality compressed videos. Most existing approaches use a single neighboring frame or a pair of neighboring frames (preceding and/or following the target frame) for thi
Externí odkaz:
http://arxiv.org/abs/1910.12286
StarCraft (SC) is one of the most popular and successful Real Time Strategy (RTS) games. In recent years, SC is also widely accepted as a challenging testbed for AI research because of its enormous state space, partially observed information, multi-a
Externí odkaz:
http://arxiv.org/abs/1812.00336
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 15:94-99
StarCraft (SC) is one of the most popular and successful Real Time Strategy (RTS) games. In recent years, SC is also widely accepted as a challenging testbed for AI research because of its enormous state space, partially observed information, multi-a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::509e3f9db003ca5eee006385c29cdbab
https://doi.org/10.1609/aiide.v15i1.5230
https://doi.org/10.1609/aiide.v15i1.5230
