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pro vyhledávání: '"Zhang Yifu"'
Autor:
Zhao Xu, Xu Lisha, Liu Yi, Mei Yunjun, Chen Luocheng, Zheng Anqi, Yin Kuibo, Xiao Xiaolu, Li Shaozhen, Sun Xuecheng, Zhang Yifu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract In the last few decades, nanoparticles have been a prominent topic in various fields, particularly in agriculture, due to their unique physicochemical properties. Herein, molybdenum copper lindgrenite Cu3(MoO4)2(OH)2 (CM) nanoflakes (NFs) ar
Externí odkaz:
https://doaj.org/article/99735286466441528a16f3f7fce310a8
Autor:
Zhang, Yifu, Ma, Lei
Nonadiabatic geometric quantum computation (NGQC) provides a means to perform fast and robust quantum gates. To enhance the robustness of NGQC against control errors, numerous solutions have been proposed by predecessors. However, these solutions typ
Externí odkaz:
http://arxiv.org/abs/2404.06562
Autor:
Shen, Haoran, Zhang, Yifu, Wang, Wenxuan, Chen, Chen, Liu, Jing, Song, Shanshan, Li, Jiangyun
Recent works have shown that the computational efficiency of 3D medical image (e.g. CT and MRI) segmentation can be impressively improved by dynamic inference based on slice-wise complexity. As a pioneering work, a dynamic architecture network for me
Externí odkaz:
http://arxiv.org/abs/2310.18656
With the increasing popularity of autonomous driving based on the powerful and unified bird's-eye-view (BEV) representation, a demand for high-quality and large-scale multi-view video data with accurate annotation is urgently required. However, such
Externí odkaz:
http://arxiv.org/abs/2310.07771
Accurate representation of tooth position is extremely important in treatment. 3D dental image segmentation is a widely used method, however labelled 3D dental datasets are a scarce resource, leading to the problem of small samples that this task fac
Externí odkaz:
http://arxiv.org/abs/2309.11015
Multi-Camera Multi-Target Tracking (MCMT) is a computer vision technique that involves tracking multiple targets simultaneously across multiple cameras. MCMT in urban traffic visual analysis faces great challenges due to the complex and dynamic natur
Externí odkaz:
http://arxiv.org/abs/2307.02753
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity
Autor:
Zhang, Yifu, Li, Hongru, Yang, Tao, Tao, Rui, Liu, Zhengyuan, Shi, Shimeng, Zhang, Jiansong, Ma, Ning, Feng, Wujin, Zhang, Zhanhu, Zhang, Xinyu
Lesion segmentation of ultrasound medical images based on deep learning techniques is a widely used method for diagnosing diseases. Although there is a large amount of ultrasound image data in medical centers and other places, labeled ultrasound data
Externí odkaz:
http://arxiv.org/abs/2305.19069
Transfer learning leverages knowledge from other domains and has been successful in many applications. Transfer learning methods rely on the overall similarity of the source and target domains. However, in some cases, it is impossible to provide an o
Externí odkaz:
http://arxiv.org/abs/2305.19067
Autor:
Zhai, Jiang-Tian, Feng, Ze, Du, Jinhao, Mao, Yongqiang, Liu, Jiang-Jiang, Tan, Zichang, Zhang, Yifu, Ye, Xiaoqing, Wang, Jingdong
Modern autonomous driving systems are typically divided into three main tasks: perception, prediction, and planning. The planning task involves predicting the trajectory of the ego vehicle based on inputs from both internal intention and the external
Externí odkaz:
http://arxiv.org/abs/2305.10430
Autor:
Zhang, Yifu, Wang, Xinggang, Ye, Xiaoqing, Zhang, Wei, Lu, Jincheng, Tan, Xiao, Ding, Errui, Sun, Peize, Wang, Jingdong
Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects across video frames. Detection boxes serve as the basis of both 2D and 3D MOT. The inevitable changing of detection scores leads to object missing after tracking.
Externí odkaz:
http://arxiv.org/abs/2303.15334