Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Zhou, Shenghao"'
Autor:
Yang, Yue, Panagopoulou, Artemis, Zhou, Shenghao, Jin, Daniel, Callison-Burch, Chris, Yatskar, Mark
Concept Bottleneck Models (CBM) are inherently interpretable models that factor model decisions into human-readable concepts. They allow people to easily understand why a model is failing, a critical feature for high-stakes applications. CBMs require
Externí odkaz:
http://arxiv.org/abs/2211.11158
Egocentric videos offer fine-grained information for high-fidelity modeling of human behaviors. Hands and interacting objects are one crucial aspect of understanding a viewer's behaviors and intentions. We provide a labeled dataset consisting of 11,2
Externí odkaz:
http://arxiv.org/abs/2208.03826
Autor:
Yan, Jingjun, Wang, Zhenyu, Zhou, Shenghao, Ma, Guanshui, Zhou, Dingwei, Yang, Wei, Wang, Aiying
Publikováno v:
In Surface & Coatings Technology 30 August 2024 490
Autor:
Tang, Xiangwei, Zhou, Shenghao, Tang, Rongdi, Zheng, Jiangfu, Li, Xiao, Li, Ling, Zhou, Zhanpeng, Li, Wenbo, Deng, Yaocheng, Gong, Daoxin
Publikováno v:
In Separation and Purification Technology 2 July 2024 339
Autor:
Wang, Zhendong, Zhou, Shenghao, Ma, Guanshui, Dong, Yufeng, Zhang, Xiaoyan, Liu, Yongyue, Wang, Zhenyu, Wang, Aiying
Publikováno v:
In Ceramics International 1 July 2024 50(13) Part B:23621-23633
Autor:
Wang, Zheng, Zhang, Yingpeng, Zhou, Shenghao, Wang, Zhenyu, Yao, Yirong, Wang, Aiying, Li, Ming, Ke, Peiling
Publikováno v:
In Corrosion Communications June 2024 14:49-57
Autor:
Zhang, Yupeng, Wang, Zhenyu, Zhou, Shenghao, Zhang, Yan, Dong, Yufeng, Wang, Aiying, Ke, Peiling
Publikováno v:
In Tribology International April 2024 192
Akademický článek
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Autor:
Yuan, Jianghuai, Zhou, Shenghao, Wu, Haichen, Wang, Zhenyu, Zhang, Yan, Zhou, Guangxue, Ma, Guanshui, Ke, Peiling, Wang, Aiying
Publikováno v:
In Scripta Materialia October 2023 235
Autor:
Pertsch, Karl, Rybkin, Oleh, Yang, Jingyun, Zhou, Shenghao, Derpanis, Konstantinos G., Daniilidis, Kostas, Lim, Joseph, Jaegle, Andrew
Temporal observations such as videos contain essential information about the dynamics of the underlying scene, but they are often interleaved with inessential, predictable details. One way of dealing with this problem is by focusing on the most infor
Externí odkaz:
http://arxiv.org/abs/1904.05869