Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Nie, Xiaohan"'
Autor:
Zhou, Jianing, Li, Han, Zhang, Shuai, Xie, Ning, Wang, Ruijie, Nie, Xiaohan, Liu, Sheng, Wang, Lingyun
Handling lengthy context is crucial for enhancing the recognition and understanding capabilities of multimodal large language models (MLLMs) in applications such as processing high-resolution images or high frame rate videos. The rise in image resolu
Externí odkaz:
http://arxiv.org/abs/2411.08840
Existing approaches for Structure from Motion (SfM) produce impressive 3-D reconstruction results especially when using imagery captured with large parallax. However, to create engaging video-content in movies and TV shows, the amount by which a came
Externí odkaz:
http://arxiv.org/abs/2204.02509
Understanding scenes in movies is crucial for a variety of applications such as video moderation, search, and recommendation. However, labeling individual scenes is a time-consuming process. In contrast, movie level metadata (e.g., genre, synopsis, e
Externí odkaz:
http://arxiv.org/abs/2202.10650
Scenes play a crucial role in breaking the storyline of movies and TV episodes into semantically cohesive parts. However, given their complex temporal structure, finding scene boundaries can be a challenging task requiring large amounts of labeled tr
Externí odkaz:
http://arxiv.org/abs/2104.13537
Autor:
SUN Yonghui, CHENG Kun, LIN Hai, HE Tieying, HAN Wei, Sulidankazha Qiuman, NIE Xiaohan, YIN Zhijie, CHEN Qilong
Publikováno v:
Zhongguo linchuang yanjiu, Vol 36, Iss 6, Pp 878-882 (2023)
Objective To explore the efficacy of wrapping the hepatic artery with detached ligamentum teres hepatis during pancreaticoduodenectomy (PD) on preventing postoperative intra-abdominal hemorrhage. Methods A total of 186 patients who received PD in the
Externí odkaz:
https://doaj.org/article/f0fa33ad79db40c498e365a57c504e55
Autor:
Yan, Ziwei, Ma, Chunlong, Mo, Jiaqing *, Han, Wei *, Lv, Xiaoyi, Chen, Chen, Chen, Cheng, Nie, Xiaohan
Publikováno v:
In Optik April 2020 208
Existing methods on video-based action recognition are generally view-dependent, i.e., performing recognition from the same views seen in the training data. We present a novel multiview spatio-temporal AND-OR graph (MST-AOG) representation for cross-
Externí odkaz:
http://arxiv.org/abs/1405.2941
Publikováno v:
Journal of Sustainable Cement-Based Materials; 2024, Vol. 13 Issue 3, p450-461, 12p
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Akademický článek
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