Search Results - "Fan, Yingle"

Contour detection based on the interactive response and fusion model of bilateral attention pathways by Xu, Yanan, Fan, Yingle

“…Contour detection is the key pre-processing step for human vision to perceive objects. Considering the shunt transmission and interactive response…”
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Salient contour detection on the basis of the mechanism of bilateral asymmetric receptive fields by Fang, Tao, Fan, Yingle, Wu, Wei

“…Salient contour detection is the key step of visual perception and is very important for visual detection and object recognition. In this paper, a new contour…”
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Short-term prognostic models for severe acute kidney injury patients receiving prolonged intermittent renal replacement therapy based on machine learning by Wei, Wenqian, Cai, Zhefei, Chen, Lei, Yuan, Weijie, Fan, Yingle, Rong, Shu

“…As an effective measurement for severe acute kidney injury (AKI), the prolonged intermittent renal replacement therapy (PIRRT) received attention. Also,…”
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Developing a feature decoder network with low-to-high hierarchies to improve edge detection by Fang, Tao, Zhang, Mingqi, Fan, Yingle, Wu, Wei, Gan, Haitao, She, Qingshan

“…Low-to-high hierarchical convolutional features can significantly improve edge detection. This paper proposes a feature decoder-based algorithm that employs a…”
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Spatio-temporal SRU with global context-aware attention for 3D human action recognition by She, Qingshan, Mu, Gaoyuan, Gan, Haitao, Fan, Yingle

“…3D action recognition has attracted much attention in machine learning fields in recent years, and recurrent neural networks (RNNs) have been widely used for…”
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Dual Learning-Based Safe Semi-Supervised Learning by Gan, Haitao, Li, Zhenhua, Fan, Yingle, Luo, Zhizeng

“…In many real-world applications, labeled instances are generally limited and expensively collected, while the most instances are unlabeled and the amount is…”
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Contour detection based on binocular parallax perception mechanism by Wei, Chujie, Fang, Tao, Fan, Yingle, Wu, Wei, Meng, Ming, She, Qingshan

“…We propose a new method of image contour detection, considering the close relationship between binocular parallax in the biological vision system and the…”
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Safe Semi-Supervised Extreme Learning Machine for EEG Signal Classification by She, Qingshan, Hu, Bo, Gan, Haitao, Fan, Yingle, Nguyen, Thinh, Potter, Thomas, Zhang, Yingchun

“…One major challenge in the current brain-computer interface research is the accurate classification of time-varying electroencephalographic (EEG) signals. The…”
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Person Re-Identification Based on DropEasy Method by Wang, Huiyang, Fang, Tao, Fan, Yingle, Wu, Wei

“…Currently, majority of person re-identification (reID) technologies are network-constrained by Dropout regularization, which relies on the random zeroing out…”
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Image-Dehazing Method Based on the Fusion Coding of Contours and Colors by Tan, Mingming, Fang, Tao, Fan, Yingle, Wu, Wei, She, Qingshan, Gan, Haitao

“…The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the…”
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Dual-channel asymmetric convolutional neural network for an efficient retinal blood vessel segmentation in eye fundus images by Xu, Yanan, Fan, Yingle

“…The morphological properties of retinal vessels are closely related to the diagnosis of ophthalmic diseases. However, many problems in retinal images, such as…”
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A contour perception model that simulates the complex connection pattern of the visual cortex by Cai, Zhefei, Fan, Yingle

“…Contour detection is the basic content of image processing and plays an important role in image analysis and target recognition. This paper proposed a contour…”
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Modeling columnar spatiotemporal dynamics of nitric oxide as a primary controlling element of arteriole dilation during neurovascular coupling by Yang, Yong, Wang, MingLai, Fan, YingLe, Zheng, XiaoXiang

“…Although the mechanism of neurovascular coupling remains inadequately understood, physiological research has indicated that the dilation of arterioles located…”
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Local homogeneous consistent safe semi-supervised clustering by Gan, Haitao, Fan, Yingle, Luo, Zhizeng, Zhang, Qizhong

“…•We develop safe semi-supervised clustering which outperforms semi-supervised clustering.•We construct a local homogeneous graph to safely exploit the risk…”
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Gabor-net with multi-scale hierarchical fusion of features for fundus retinal blood vessel segmentation by Fang, Tao, Cai, Zhefei, Fan, Yingle

“…This paper proposes a fundus retinal blood vessel segmentation model based on a deep convolutional network structure and biological visual feature extraction…”
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Image Contour Detection Based on Visual Pathway Information Transfer Mechanism by Cai, Pingping, Cai, Zhefei, Fan, Yingle, Wu, Wei

“…Based on the coding mechanism and interactive features of visual information in the visual pathway, a new method of image contour detection is proposed…”
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Confidence-weighted safe semi-supervised clustering by Gan, Haitao, Fan, Yingle, Luo, Zhizeng, Huang, Rui, Yang, Zhi

“…In this paper, we propose confidence-weighted safe semi-supervised clustering where prior knowledge is given in the form of class labels. In some applications,…”
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Multi-path convolutional neural network in fundus segmentation of blood vessels by Tian, Chun, Fang, Tao, Fan, Yingle, Wu, Wei

“…There is a close correlation between retinal vascular status and physical diseases such as eye lesions. Retinal fundus images are an important basis for…”
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A contour detection method based on the projective coding model of the visual cortex information flow by Cai, Zhefei, Yang, Rui, Fan, Yingle, Wu, Wei

“…Based on the information flow partition projection characteristics of P-type and M-type ganglion cells (referred to as P cells and M cells) and the neural…”
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Balanced Graph-based regularized semi-supervised extreme learning machine for EEG classification by She, Qingshan, Zou, Jie, Meng, Ming, Fan, Yingle, Luo, Zhizeng

“…Machine learning algorithms play a critical role in electroencephalograpy (EEG)-based brain-computer interface (BCI) systems. However, collecting labeled…”
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