Zobrazeno 1 - 10
of 351
pro vyhledávání: '"Liu Changsong"'
Autor:
Liu, Changsong, Zhang, Wei, Liu, Yanyan, Li, Mingyang, Li, Wenlin, Fan, Yimeng, Bai, Xiangnan, Zhangd, Liang
Edge detection, as a fundamental task in computer vision, has garnered increasing attention. The advent of deep learning has significantly advanced this field. However, recent deep learning-based methods which rely on large-scale pre-trained weights
Externí odkaz:
http://arxiv.org/abs/2409.04272
Autor:
Qin, Jinghui, Liu, Changsong, Tang, Tianchi, Liu, Dahuang, Wang, Minghao, Huang, Qianying, Xu, Yang, Zhang, Rumin
Mental disorders, such as anxiety and depression, have become a global issue that affects the regular lives of people across different ages. Without proper detection and treatment, anxiety and depression can hinder the sufferer's study, work, and dai
Externí odkaz:
http://arxiv.org/abs/2408.12088
Edge detection is a fundamental task in computer vision. It has made great progress under the development of deep convolutional neural networks (DCNNs), some of which have achieved a beyond human-level performance. However, recent top-performing edge
Externí odkaz:
http://arxiv.org/abs/2406.05779
Event cameras, characterized by high temporal resolution, high dynamic range, low power consumption, and high pixel bandwidth, offer unique capabilities for object detection in specialized contexts. Despite these advantages, the inherent sparsity and
Externí odkaz:
http://arxiv.org/abs/2403.15192
Autor:
Wu Xuebang, Liu Changsong
Publikováno v:
Archives of Metallurgy and Materials, Vol 60, Iss 3, Pp 2077-2084 (2015)
The general trend in soft matter is to study systems of increasing complexity covering a wide range in time and frequency. Mechanical spectroscopy is a powerful tool for understanding the structure and relaxation dynamics of these materials over a la
Externí odkaz:
https://doaj.org/article/32c3919c2f774362a8e04381fb386b49
Autor:
Zhang, Liang1,2 (AUTHOR) zhangliang@tfri.com.cn, Liu, Changsong3 (AUTHOR) changsong@tju.edu.cn, Li, Mingyang3 (AUTHOR) tjuzhangwei@tju.edu.cn, Zhang, Wei3 (AUTHOR), Zhang, Desheng1,2 (AUTHOR) zhangdesheng@tfri.com.cn, Lu, Zhibao1,2 (AUTHOR) luzhibao@tfri.com.cn
Publikováno v:
Fire (2571-6255). Jul2024, Vol. 7 Issue 7, p215. 15p.
Autor:
Akula, Arjun R., Wang, Keze, Liu, Changsong, Saba-Sadiya, Sari, Lu, Hongjing, Todorovic, Sinisa, Chai, Joyce, Zhu, Song-Chun
We propose CX-ToM, short for counterfactual explanations with theory-of mind, a new explainable AI (XAI) framework for explaining decisions made by a deep convolutional neural network (CNN). In contrast to the current methods in XAI that generate exp
Externí odkaz:
http://arxiv.org/abs/2109.01401
Publikováno v:
In Engineering Applications of Artificial Intelligence January 2024 127 Part A
Autor:
Lei, Yawei, zhang, Yange, Li, Xiangyan, Xu, Yichun, Wu, Xuebang, Wang, Xianping, Sun, Meng, Yang, Junfeng, Liu, Changsong, Wang, Zhiguang
Publikováno v:
In Journal of Nuclear Materials 15 August 2023 582
Autor:
Akula, Arjun R., Liu, Changsong, Saba-Sadiya, Sari, Lu, Hongjing, Todorovic, Sinisa, Chai, Joyce Y., Zhu, Song-Chun
We present a new explainable AI (XAI) framework aimed at increasing justified human trust and reliance in the AI machine through explanations. We pose explanation as an iterative communication process, i.e. dialog, between the machine and human user.
Externí odkaz:
http://arxiv.org/abs/1909.06907