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| 1 | A Cognitive Memory-Augmented Network for Visual Anomaly Detection显示文摘With the rapid development of automated visual analysis,visual analysis systems have become a popular research topic in the field of computer vision and automated analysis.Visual analysis systems can assist humans to detect anomalous events(e.g.,fighting,walking alone on the grass,etc).In general,the existing methods for visual anomaly detection are usually based on an autoencoder architecture,i.e.,reconstructing the current frame or predicting the future frame.Then,the reconstruction error is adopted as the evaluation metric to identify whether an input is abnormal or not.The flaws of the existing methods are that abnormal samples can also be reconstructed well.In this paper,inspired by the human memory ability,we propose a novel deep neural network(DNN)based model termed cognitive memory-augmented network(CMAN)for the visual anomaly detection problem.The proposed CMAN model assumes that the visual analysis system imitates humans to remember normal samples and then distinguishes abnormal events from the collected videos.Specifically,in the proposed CMAN model,we introduce a memory module that is able to simulate the memory capacity of humans and a density estimation network that can learn the data distribution.The reconstruction errors and the novelty scores are used to distinguish abnormal events from videos.In addition,we develop a two-step scheme to train the proposed model so that the proposed memory module and the density estimation network can cooperate to improve performance.Comprehensive experiments evaluated on various popular benchmarks show the superiority and effectiveness of the proposed CMAN model for visual anomaly detection comparing with the state-of-the-arts methods.The implementation code of our CMAN method can be accessed at http://gffzz188fe103f8f1460asquw6f66qn9o66wnf.ffgz.tsg.suse.edu.cn/CMANcode/CMAN_pytorch. | Tian Wang Xing Xu Fumin Shen Yang Yang | 2021 | IEEE/CAA Journal of Automatica Sinica2021，8，7： | 2 |
| 2 | Tile genetic epidemiology research of pri- mary liver cancer 显示文摘 | Meng Hui Liu Hongyan Cai Rulin Jiang Feng Jiang Qing five Lin Wenyao Shen Fumin | 2002 | Chinese journal of epidemiology2002，，6： | 1 |
| 3 | Past HBV Viral Load as Predictor of Mortality and Morbidity from HCC and Chronic Liver Disease in a Prospective Study显示文摘 | GANG CHEN WENYAO UN FUMIN SHEN | 2006 | Am J Gastroenterol2006，101，： | 1 |
| 4 | Effects of the incorporation amounts of CdS and Cd(SCN_(2)H_(4))_(2)Cl_(2)on the performance of perovskite solar cells显示文摘An excellent organolead halide perovskite film is important for the good performance of perovskite solar cells(PSCs).However,defects in perovskite crystals can affect the photovoltaic properties and stability of solar cells.To solve this problem,this study incorporated a complex of Cd S and Cd(SCN_(2)H_(4))_(2)Cl_(2)into the CH_(3)NH_(3)Pb I_(3)active layer.The effects of different doping concentrations of Cd S and Cd(SCN_(2)H_(4))_(2)Cl_(2)on the performance and stability of PSCs were analyzed.Results showed that doping appropriate incorporation concentrations of Cd S and Cd(SCN_(2)H_(4))_(2)Cl_(2)in CH_(3)NH_(3)Pb I_(3)can improve the performance of the prepared solar cells.In specific,Cd S and Cd(SCN_(2)H_(4))_(2)Cl_(2)can effectively passivate the defects in perovskite crystals,thereby suppressing the charge recombination in PSCs and promoting the charge extraction at the TiO_(2)/perovskite interface.Due to the reduction of perovskite crystal defects and the enhancement of compactness of the Cd S:Cd(SCN_(2)H4)_(2)Cl_(2):CH_(3)NH_(3)Pb I_(3)composite film,the stability of PSCs is significantly improved. | Jihong Zheng Liangxin Zhu Zhitao Shen Fumin Li Lanyu Ling Huilin Li Chong Chen | 2022 | International Journal of Minerals,Metallurgy and Materials2022，29，2： | 0 |
| 5 | Strategies for high-performance perovskite solar cells from materials, film engineering to carrier dynamics and photon management显示文摘In recent years,halide perovskite solar cells(HPSCs)have attracted a great atten-tion due to their superior photoelectric performance and the low-cost of processing their quality films.In order to commercialize HPSCs,the researchers are focusing on developing high-performance HPSCs.Many strategies have been reported to increase the power conversion efficiency and the long-term stability of HPSCs over the past decade.Herein,we review the latest efforts and the chemical-physical principles for preparing high-efficiency and long-term stability HPSCs in particu-lar,concentrating on the perovskite materials,technologies for perovskite films,charge transport materials and ferroelectric effect to reduce the carrier loss,and photon management via plasmonic and upconversion effects.Finally,the key issues for future researches of HPSCs are also discussed with regard to the require-ments in practical application. | Huilin Li Chong Chen Hangyu Hu Yu Li Zhitao Shen Fumin Li Ying Liu Rong Liu Junwei Chen Chao Dong Sally Mabrouk Raja Sekhar Bobba Abiral Baniya Mingtai Wang Quinn Qiao | 2022 | InfoMat2022，4，7： | 0 |
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