Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Cheng, Xuelian"'
Autor:
Hu, Ming, Xia, Peng, Wang, Lin, Yan, Siyuan, Tang, Feilong, Xu, Zhongxing, Luo, Yimin, Song, Kaimin, Leitner, Jurgen, Cheng, Xuelian, Cheng, Jun, Liu, Chi, Zhou, Kaijing, Ge, Zongyuan
Surgical scene perception via videos is critical for advancing robotic surgery, telesurgery, and AI-assisted surgery, particularly in ophthalmology. However, the scarcity of diverse and richly annotated video datasets has hindered the development of
Externí odkaz:
http://arxiv.org/abs/2406.07471
Reconstructing soft tissues from stereo endoscope videos is an essential prerequisite for many medical applications. Previous methods struggle to produce high-quality geometry and appearance due to their inadequate representations of 3D scenes. To ad
Externí odkaz:
http://arxiv.org/abs/2307.11307
The self-attention mechanism, successfully employed with the transformer structure is shown promise in many computer vision tasks including image recognition, and object detection. Despite the surge, the use of the transformer for the problem of ster
Externí odkaz:
http://arxiv.org/abs/2207.12152
Autor:
Cheng, Xuelian, Xiong, Huan, Fan, Deng-Ping, Zhong, Yiran, Harandi, Mehrtash, Drummond, Tom, Ge, Zongyuan
We propose a new video camouflaged object detection (VCOD) framework that can exploit both short-term dynamics and long-term temporal consistency to detect camouflaged objects from video frames. An essential property of camouflaged objects is that th
Externí odkaz:
http://arxiv.org/abs/2203.07363
Publikováno v:
Open Medicine, Vol 18, Iss 1, Pp 1009-18 (2023)
Considering the connection between the Fanconi anemia (FA) signaling pathway and tumor development, we aim to investigate the links between the FA gene expression and the survival prognosis of acute myeloid leukemia (AML) patients. Our study begins b
Externí odkaz:
https://doaj.org/article/289425bbbf5b424f9d8e6db8c6df9dd0
Autor:
Cheng, Xuelian, Zhong, Yiran, Harandi, Mehrtash, Dai, Yuchao, Chang, Xiaojun, Drummond, Tom, Li, Hongdong, Ge, Zongyuan
To reduce the human efforts in neural network design, Neural Architecture Search (NAS) has been applied with remarkable success to various high-level vision tasks such as classification and semantic segmentation. The underlying idea for the NAS algor
Externí odkaz:
http://arxiv.org/abs/2010.13501
In this paper, we present LidarStereoNet, the first unsupervised Lidar-stereo fusion network, which can be trained in an end-to-end manner without the need of ground truth depth maps. By introducing a novel "Feedback Loop'' to connect the network inp
Externí odkaz:
http://arxiv.org/abs/1904.03868
Autor:
Wang, Hong, Liu, Cuicui, Xie, Xiaowei, Niu, Mingming, Wang, Yingrui, Cheng, Xuelian, Zhang, Biao, Zhang, Dong, Liu, Mengyao, Sun, Rui, Ma, Yezi, Ma, Shihui, Wang, Huijun, Zhu, Guoqing, Lu, Yang, Huang, Baiming, Su, Pei, Chen, Xiaoyuan, Zhao, Jingjing, Wang, Hongtao, Shen, Long, Fu, Lixia, Huang, Qianqian, Yang, Yang, Wang, He, Wu, Chunlong, Ge, Weigang, Chen, Chen, Huo, Qianyu, Wang, Qingping, Wang, Ying, Geng, Li, Xie, Yan, Xie, Yi, Liu, Lijun, Qi, Jianwei, Chen, Huaiyong, Wu, Junping, Jiang, Erlie, Jiang, Wentao, Wang, Ximo, Shen, Zhongyang, Guo, Tiannan, Zhou, Jiaxi, Zhu, Ping, Cheng, Tao
Publikováno v:
In Immunity 13 June 2023 56(6):1410-1428
Autor:
Zhang, Jingliao, Duan, Yongjuan, Wu, Peng, Chang, Yanxia, Wang, Yue, Hu, Tianyuan, Liu, Chao, Chen, Xiaoyan, Zong, Suyu, Chen, Xiaoli, Wu, Yangping, Jin, Linlin, Lan, Yang, Liu, Xiaoming, Cheng, Xuelian, Ding, Feng, Li, Tianyu, Chen, Xiaojuan, Guo, Ye, Chen, Yumei, Yang, Wenyu, Zhang, Li, Zou, Yao, Cheng, Tao, Zhu, Xiaofan, Zhang, Yingchi
Publikováno v:
In Blood September 2023
Autor:
Cheng, Xuelian, Liang, Haoyue, Li, Qing, Wang, Jing, Liu, Jing, Zhang, Yun, Ru, Yongxin, Zhou, Yuan
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 15 November 2022 281