Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Wang Chuxin"'
Publikováno v:
Science and Engineering of Composite Materials, Vol 28, Iss 1, Pp 689-701 (2021)
The newly developed vibration-compacting modular production technology of concrete with low water-cement ratio puts forward new requirements for the study of rheological mechanical model of concrete. The existing contact model of discrete element met
Externí odkaz:
https://doaj.org/article/76c2a137391f4c619bab626be3a73652
Autor:
Wang Chuxin, Zhu Chengchao, Zhou Yu, Xiong Min, Wang Jindong, Bai Huang, Lu Chenya, Zhang Changquan, Liu Qiaoquan, Li Qianfeng
Publikováno v:
Rice Science, Vol 28, Iss 4, Pp 358-367 (2021)
We successfully identified a novel and unique OsbZIP transcription factor, OsbZIP09, whose mutants exhibited longer seeds and less severe pre-harvest sprouting than the wild type, but shared similar germination rate as the wild type under normal germ
Externí odkaz:
https://doaj.org/article/ace33ceb59cb4962a47fe1d63662042e
Autor:
Zhang, Yu, Jiang, Ziyue, Li, Ruiqi, Pan, Changhao, He, Jinzheng, Huang, Rongjie, Wang, Chuxin, Zhao, Zhou
Zero-shot singing voice synthesis (SVS) with style transfer and style control aims to generate high-quality singing voices with unseen timbres and styles (including singing method, emotion, rhythm, technique, and pronunciation) from audio and text pr
Externí odkaz:
http://arxiv.org/abs/2409.15977
Autor:
Zhang, Yu, Pan, Changhao, Guo, Wenxiang, Li, Ruiqi, Zhu, Zhiyuan, Wang, Jialei, Xu, Wenhao, Lu, Jingyu, Hong, Zhiqing, Wang, Chuxin, Zhang, LiChao, He, Jinzheng, Jiang, Ziyue, Chen, Yuxin, Yang, Chen, Zhou, Jiecheng, Cheng, Xinyu, Zhao, Zhou
The scarcity of high-quality and multi-task singing datasets significantly hinders the development of diverse controllable and personalized singing tasks, as existing singing datasets suffer from low quality, limited diversity of languages and singer
Externí odkaz:
http://arxiv.org/abs/2409.13832
Estimating depth from a single image is a challenging visual task. Compared to relative depth estimation, metric depth estimation attracts more attention due to its practical physical significance and critical applications in real-life scenarios. How
Externí odkaz:
http://arxiv.org/abs/2407.08187
Autor:
Li, Zhuoyuan, Ai, Yubo, Lu, Jiahao, Wang, ChuXin, Deng, Jiacheng, Chang, Hanzhi, Liang, Yanzhe, Yang, Wenfei, Zhang, Shifeng, Zhang, Tianzhu
Transformers have demonstrated impressive results for 3D point cloud semantic segmentation. However, the quadratic complexity of transformer makes computation cost high, limiting the number of points that can be processed simultaneously and impeding
Externí odkaz:
http://arxiv.org/abs/2406.17442
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection
Semi-supervised 3D object detection from point cloud aims to train a detector with a small number of labeled data and a large number of unlabeled data. The core of existing methods lies in how to select high-quality pseudo-labels using the designed q
Externí odkaz:
http://arxiv.org/abs/2312.10390
Self-supervised monocular depth estimation holds significant importance in the fields of autonomous driving and robotics. However, existing methods are typically trained and tested on standard datasets, overlooking the impact of various adverse condi
Externí odkaz:
http://arxiv.org/abs/2310.08044
Autor:
Deng, Jiacheng, Wang, Chuxin, Lu, Jiahao, He, Jianfeng, Zhang, Tianzhu, Yu, Jiyang, Zhang, Zhe
Unsupervised point cloud shape correspondence aims to obtain dense point-to-point correspondences between point clouds without manually annotated pairs. However, humans and some animals have bilateral symmetry and various orientations, which lead to
Externí odkaz:
http://arxiv.org/abs/2304.05395
Autor:
Zhang, Lintong, Kong, Xiangzeng, Chen, Linjie, Zhang, Wenqing, Lin, Xiyang, Wang, Chuxin, Jiang, Yilun, Li, Jining, Qu, Fangfang
Publikováno v:
In Sensors and Actuators: B. Chemical 15 November 2024 419