Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Xu, Bolei"'
Recent works have demonstrated convolutional neural networks are vulnerable to adversarial examples, i.e., inputs to machine learning models that an attacker has intentionally designed to cause the models to make a mistake. To improve the adversarial
Externí odkaz:
http://arxiv.org/abs/2005.04564
Autor:
Hou, Xianxu, Liu, Jingxin, Xu, Bolei, Liu, Bozhi, Chen, Xin, Ilyas, Mohammad, Ellis, Ian, Garibaldi, Jon, Qiu, Guoping
Supervised semantic segmentation normally assumes the test data being in a similar data domain as the training data. However, in practice, the domain mismatch between the training and unseen data could lead to a significant performance drop. Obtainin
Externí odkaz:
http://arxiv.org/abs/1909.11524
Autor:
Hou, Xianxu, Luo, Hongming, Liu, Jingxin, Xu, Bolei, Sun, Ke, Gong, Yuanhao, Liu, Bozhi, Qiu, Guoping
Image denoising is the process of removing noise from noisy images, which is an image domain transferring task, i.e., from a single or several noise level domains to a photo-realistic domain. In this paper, we propose an effective image denoising met
Externí odkaz:
http://arxiv.org/abs/1906.01259
Autor:
Xu, Bolei, Liu, Jingxin, Hou, Xianxu, Liu, Bozhi, Garibaldi, Jon, Ellis, Ian O., Green, Andy, Shen, Linlin, Qiu, Guoping
One issue with computer based histopathology image analysis is that the size of the raw image is usually very large. Taking the raw image as input to the deep learning model would be computationally expensive while resizing the raw image to low resol
Externí odkaz:
http://arxiv.org/abs/1902.10946
Dissertation/ Thesis
Autor:
Xu, Bolei
In this dissertation, the laser spectroscopic methods, second harmonic generation (SHG) and ultrafast transient absorption, have been employed to study the reactions and dynamics in two different types of materials, namely, silver nanoparticles and m
Externí odkaz:
http://hdl.handle.net/20.500.12613/3870
Autor:
Liu, Jingxin, Xu, Bolei, Zheng, Chi, Gong, Yuanhao, Garibaldi, Jon, Soria, Daniele, Green, Andew, Ellis, Ian O., Zou, Wenbin, Qiu, Guoping
Publikováno v:
IEEE Transactions on Medical Imaging 03 September 2018
One of the methods for stratifying different molecular classes of breast cancer is the Nottingham Prognostic Index Plus (NPI+) which uses breast cancer relevant biomarkers to stain tumour tissues prepared on tissue microarray (TMA). To determine the
Externí odkaz:
http://arxiv.org/abs/1801.06288
Publikováno v:
In Image and Vision Computing November 2019 91
Autor:
Sun, Dezheng, Deng, Gang-Hua, Xu, Bolei, Xu, Enshi, Li, Xia, Wu, Yajing, Qian, Yuqin, Zhong, Yu, Nuckolls, Colin, Harutyunyan, Avetik R., Dai, Hai-Lung, Chen, Gugang, Chen, Hanning, Rao, Yi
Publikováno v:
In iScience 27 September 2019 19:1079-1089
Autor:
Wilhelm, Michael J., Sheffield, Joel B., Gonella, Grazia, Wu, Yajing, Spahr, Christian, Zeng, Jia, Xu, Bolei, Dai, Hai-Lung
Publikováno v:
In Chemical Physics Letters 17 June 2014 605-606:158-163