Search Results - "Xiaojun Bi"

Early Alzheimer’s disease diagnosis based on EEG spectral images using deep learning by Bi, Xiaojun, Wang, Haibo

“…Early diagnosis of Alzheimer’s disease (AD) is a proceeding hot issue along with a sharp upward trend in the incidence rate. Recently, early diagnosis of AD…”
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Multi-Level Cross Residual Network for Lung Nodule Classification by Lyu, Juan, Bi, Xiaojun, Ling, Sai Ho

“…Computer-aided algorithm plays an important role in disease diagnosis through medical images. As one of the major cancers, lung cancer is commonly detected by…”
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Learning Hierarchical Representations with Spike-and-Slab Inception Network by Qiao, Weizheng, Bi, Xiaojun

“…Recently, deep convolutional neural networks (CNN) with inception modules have attracted much attention due to their excellent performances on diverse domains…”
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Ternary-task convolutional bidirectional neural turing machine for assessment of EEG-based cognitive workload by Qiao, Weizheng, Bi, Xiaojun

“…•The combination of CNN and BNTM can better preserve spatial, spectral, and temporal information of multi-channel EEG time-series.•Our improvement on NTM by…”
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LRP-net: A lightweight recursive pyramid network for single image deraining by Xiaojun, Bi, Zheng, Chen, Jianyu, Yue, Haibo, Wang

“…Single image deraining, as a low-level computer vision task, has been drawn extensive attention in recent years. Rain streaks can degrade subjective visibility…”
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Incomplete handwritten Dongba character image recognition by multiscale feature restoration by Bi, Xiaojun, Luo, Yanlong

“…Incomplete handwritten Dongba character often appears in heritage documents and its recognition is significant for heritage and philology. However, all…”
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Automatic classification of spinal osteosarcoma and giant cell tumor of bone using optimized DenseNet by He, Jingteng, Bi, Xiaojun

“…•Development of a powerful Deep Learning model (DenseNet) for automatically classifying spinal osteosarcoma and giant cell tumors in medical…”
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QCD axion and neutrino physics induced by hidden flavor structure by Ahn, Y.H., Bi, Xiaojun

“…We study the reasonable requirements of two anomalous U(1)s in a flavored-axion framework for the anomaly cancellations of both U(1)-mixed gravity and…”
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Contractive Slab and Spike Convolutional Deep Boltzmann Machine by Xiaojun, Bi, Haibo, Wang

“…Deep unsupervised learning for robust and effective feature extractions from high-resolution images still keeps greatly challenging. Although Deep Boltzmann…”
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LightweightDeRain: learning a lightweight multi-scale high-order feedback network for single image de-raining by Chen, Zheng, Bi, Xiaojun, Zhang, Yu, Yue, Jianyu, Wang, Haibo

“…In recent years, deep convolutional neural networks have gained significant performance in single image de-raining. However, this progress is contributing to…”
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A Compact Switchable Filtering Diplexer Based on Reused L-Shaped Resonator by Bi, Xiaojun, Ma, Qiang, Ning, Chengxiao, Xu, Qinfen

“…A switchable filtering diplexer utilizing a reused resonator is proposed to reduce the size and insertion loss. This diplexer consists of two multi-coupled…”
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An enhanced high-order Boltzmann machine for feature engineering by Bi, Xiaojun, Wang, Haibo

“…Recently, automatic feature extraction and selection from unlabeled images that contain irrelevant patterns have been a proceeding interest. In this paper, an…”
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Multi-Scale Attention Generative Adversarial Networks for Video Frame Interpolation by Xiao, Jian, Bi, Xiaojun

“…Video frame interpolation is a fundamental task in computer vision. Recent methods usually apply convolutional neural networks to generate intermediate frame…”
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Instructional Mask Autoencoder: A Scalable Learner for Hyperspectral Image Classification by Kong, Weili, Liu, Baisen, Bi, Xiaojun, Pei, Jiaming, Chen, Zheng

“…Nowadays, an increasing number of hyperspectral images (HSIs) are becoming available. However, the utilization of unlabeled HSIs is extremely low due to high…”
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A Light Dual-Task Neural Network for Haze Removal by Zhang, Yu, Wang, Xinchao, Bi, Xiaojun, Tao, Dacheng

“…Single-image dehazing is a challenging problem due to its ill-posed nature. Existing methods rely on a suboptimal two-step approach, where an intermediate…”
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Detection of Anomalous Crowd Behavior Based on the Acceleration Feature by Chen, Chunyu, Shao, Yu, Bi, Xiaojun

“…In this paper, we propose a novel algorithm based on the acceleration feature to detect anomalous crowd behaviors in video surveillance systems. Different from…”
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Multi-Task Transformer with Adaptive Cross-Entropy Loss for Multi-Dialect Speech Recognition by Dan, Zhengjia, Zhao, Yue, Bi, Xiaojun, Wu, Licheng, Ji, Qiang

“…At present, most multi-dialect speech recognition models are based on a hard-parameter-sharing multi-task structure, which makes it difficult to reveal how one…”
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Robust Segmentation of Intima-Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle by Shen Zhao, Zhifan Gao, Heye Zhang, Yaoqin Xie, Jianwen Luo, Ghista, Dhanjoo, Zhanghong Wei, Xiaojun Bi, Huahua Xiong, Chenchu Xu, Shuo Li

“…Segmentation of carotid intima-media (IM) borders from ultrasound sequences is challenging because of unknown image noise and varying IM border morphologies…”
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MODELING THE MULTI-WAVELENGTH EMISSION OF THE SHELL-TYPE SUPERNOVA REMNANT RX J1713.7-3946 by QIANG YUAN, SIMING LIU, ZHONGHUI FAN, XIAOJUN BI, FRYER, Christopher L

“…Emission mechanisms of the shell-type supernova remnant (SNR) RX J1713.7--3946 are studied with multi-wavelength observational data from the radio, X-ray, GeV…”
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Multi-scale Weighted Fusion Attentive Generative Adversarial Network for Single Image De-raining by Bi, Xiaojun, Xing, Junyao

“…With the rapid development of outdoor vision system, removing rain streaks from a single image has attracted considerable attention as rain streaks can affect…”
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