Wu Zeng's research while affiliated with Wuhan Polytechnic University and other places

Publications (26)

Article
Janus transitional metal dichalcogenides (TMDCs) have raised wide attraction because of its unique physical and chemical properties. This work focuses on the effect of single surface vacancy (Se and Te vacancy) on adsorption and sensing properties of Janus HfSeTe monolayer to several hazardous gases (CO, H2S, NH3, NO, NO2, and SO2). The adsorption...
Chapter
Land cover change is a hot topic in the interdisciplinary research of global change and land science. The existing spatial visualization methods based on remote sensing images have the advantages of wide detection range, strong timeliness and objective reflection of land surface changes. However, the data display mode is single and the interaction...
Article
Full-text available
Existing methods for human pose estimation usually use a large intermediate tensor, leading to a high computational load, which is detrimental to resource-limited devices. To solve this problem, we propose a low computational cost pose estimation network, MobilePoseNet, which includes encoder, decoder, and parallel nonmaximum suppression operation....
Chapter
The progression of the global COVID-19 epidemic situation is the main focus of attention of all countries in the world. Due to characteristics, such as multi-origins, huge amount, and inaccessibility, of the existing data, an all-round analyzation of the epidemic situation, which is in dire need, is impeded. The aim of the following study is to pro...
Chapter
The research is based on the 2 GB extreme climates data recorded from 825 meteorological stations in mainland cities of China which was published online by the National Climate Center of the China Meteorological Administration. It analyzes the changes of extreme temperature in different time in the country and the spatial distribution of extreme te...
Article
Face recognition in real-world video surveillance needs to deal with a lot of challenges including low resolution, illumination variations, pose changes, occlusions and so on. Among them, occlusions are difficult and have not attracted enough attentions. To address this problem, in this paper, we propose a robust discriminative nonnegative dictiona...
Article
Full-text available
Occlusion is one of the most challenging problems in visual object tracking. Recently, a lot of discriminative methods have been proposed to deal with this problem. For the discriminative methods, it is difficult to select the representative samples for the target template updating. In general, the holistic bounding boxes that contain tracked resul...
Conference Paper
As identification photo being a significant part of personal information security, the encryption of identification photo has become a frontier subject. The encryption of identification photo, different from common image encryption, mainly focuses on the human facial region. Therefore, the key point is to distinguish the face details and background...
Article
A social network is a social structure made up of a set of social actors (such as individuals or organizations) and a set of the dyadic ties between these actors. By contrast, for the fixed time duration the size of digital video would be much bigger than that of digital sound. Consequently, providers of social network services can offer real-time...
Article
Variable selection has been extensively studied in linear regression and classification models. Most of these models assume that the input variables are noise free, the response variables are corrupted by Gaussian noise. In this paper, we discuss the variable selection problem assuming that both input variables and response variables are corrupted...
Conference Paper
For the issue of image denoising, in order to avoid the traditional multi-scale sparse representation methods, which used blocks of different sizes as a base function to represent image, the non-separable wavelets were taken. Their advantages included revealing the multi-scale structure, depicting the texture structure under different scales, and s...
Article
As an efficient method for spectra correction, Multivariate Scatter Correction (MSC) has recently received considerable attention due to the precision improvement of processed data. In general, the spectra approximate mean spectrum S¯ in least square framework. Unfortunately, the existing MSC methods have a limited capability in nonlinear component...
Conference Paper
The automated detection of cell nuclei, which is an important step in the pipeline of quantitative histopathological analysis, has received considerable attentions in recent years. However, biological variations, uneven staining and illumination, non-rigid deformations and touching or overlapping of the cell nuclei have made the detection procedure...
Conference Paper
In this paper, we proposed a novel image denoising method based on clustering using SURE-LET. This method divides the images into several clusters and minimize the Steins unbiased risk estimator (SURE) of each cluster independently, which makes different clusters of pixels were denoised by different threshold functions in the image domain. The prop...
Conference Paper
Full-text available
Fingerprint matching is an important issue in auto­ matic fingerprint identification systems. There are dif­ ficulties about fingerprint matching based on neighbor­ hood. One is the size of the neighborhood can not be determined readily, the other is the feature in the neigh­ borhood can be affected by the noise. To deal with these problem, we deve...
Article
Shape is an important cue for object recognition. While previous research on shape classification uses all parts of a feature set (e.g. contour segments, skele­ ton paths), we define distinctive parts that tell an ob­ ject from objects of a different type. Our approach to analyze distinctive part is based on performing a shape-based search using ea...
Conference Paper
In this paper, on the basis of communication process two Stochastic Petri Net (SPN) models are constructed to analyze the performance of LEO Satellite Networks with one user and two users respectively. Then, the effect of arrival rate on average time delay is also analyzed by solving the linear equations from corresponding isomorphic Markov Chains...
Conference Paper
In this paper, we present a novel method to image denoising using non-separable wavelet based SURE-LET approach. Unlike conventional separable wavelet filter banks that limit the ability in capturing directional information, non-separable wavelet filter banks contain the basis elements oriented at a variety of directions which are able to capture d...
Conference Paper
This paper proposes a new feature of fingerprint, called corner-cue. It is based on the curvature of fingerprint ridges. To extract the corner-cue, we first compute the curvature of fingerprint ridges and find the local maximum curvature points. Without regard to the high curvature points near minutiae, corner-cues are obtained. Corner-cues are fur...
Article
On the basis of communication process a Stochastic Petri Net (SPN) model is constructed to analyze the performance of Wireless Sensor Networks (WSNs). The effects of arrival rate, data packet number, sink node's buffer size on average time delay, throughput and the utilization of the sink node buffer are also analyzed by solving the linear equation...

Citations

... It generally estimates the heart rate parameters by extracting the human skin color changes (generally facial or fingertip skin) from the video information captured by the device. With the development of IPPG technology [10][11][12], [13][14][15], contactless heart rate detection can be achieved through ordinary consumer-level cameras, and on this basis, this paper studies multi-person real-time heart rate detection through network cameras in a controlled environment. ...
... With the continuous deepening of research, various models and methods extended by support vector machines have been obtained [20][21][22][23], and these have been used in many places. We can also use it in our daily work. ...
... However, these methods are still affected by various noises and cannot highlight the target characteristics. In [14], Ou et al. proposed a method that used adaptively estimated occlusion information and robustly selected features to improve the performance of facial recognition. The K-nearest neighbor (KNN) is also a nonparametric classifier that is widely used in pattern recognition. ...
... Danelljan et al. [5] exploit the color attributes of the target object and learn an adaptive correlation filter. The literature [21] proposes a patch-based visual tracker that divides the object and the candidate area into several small blocks evenly and uses the average score of the overall small blocks to determine the optimal candidate, which greatly improves under the occlusion circumstances. The literature [22] proposes an online representative sample selection method to construct an effective observation module that can handle occasional large appearance changes or severe occlusion. ...
... Recently, a number of efficient neural network models for object recognition and retrieval have been proposed [14,15,22,25]. A series of face recognition security algorithms were proposed [6,19,20,26]. Besides, another challenge is the effectiveness of the detection and recognition of child faces in a blind way, which is due to three main reasons: (1) accurate detection of child faces is difficult since human faces in the street may have different orientations, inconsistent lights, degrees of occlusion and diversified types of occluders, (2) robust representation of child faces is very challenging since child faces may have different expressions, age growth, and less rich textures than adult faces, and (3) efficient matching of facial features must be addressed to meet the requirements of blind face matching. To address privacy and effectiveness issues, some works have been proposed in blind computation and face recognition. ...
... Delay Petri nets [20] define the occurrence of changes that needs to be completed by a units of time. This transition issue can be divided into the problem of time transition and immediate transition, Li [21] used the stochastic Petri nets to construct the social network system model. Milinkovic [22] proposed a fuzzy Petri net (FPN) model for estimating train delay. ...
... The Gaussian function is one of the most widely used functions in many applications. 17 Hence, the Gaussian kernel function is used as the kernel function in KPCA. We conduct the experiment twenty times, and the average results are presented in Table 2. ...
... Three dimensional over complete wavelet dictionary based hyper spectral image denoising is proposed in [9]. Multi scale sparse representation method with non-separable wavelet is used for image denoising [10]. ...
... Segmentation mainly splits the groups water and land pixels on images (Yu and Acton 2004;Shu et al. 2010;Yu et al. 2013;Zhang et al. 2013b;San and Ulusar 2018). Zhang et al. (2013a) combined active contour models with quad-tree segmentation for shoreline extraction, but without qualitative assessments and only visual performance analysis with the imagery overlain. ...
... Li et al. pre-processed apple NIRS data with wavelet analysis method, Savitzky-Golay smoothing method and Multiple Scattering Correction (MSC) method [11]. Mou et al. proposed regularized MSC, which decreased Root Mean Square Error (RMSE) of prediction of quantitative analysis and improved classification precision [12]. Jie et al. applied equal intervals in sample selection to filter the wavelength of Kirin melon and obtained good modeling results [13]. ...