Xingjie Wei

Xingjie Wei
University of Leeds · Centre for Decision Research (CDR)

Ph.D in Computer Science

About

23
Publications
15,587
Reads
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298
Citations
Introduction
Research Interests: Social computing, business analytics, social data mining, cryptocurrency, blockchain

Publications

Publications (23)
Conference Paper
Full-text available
Random Subspace Method (RSM) has been demonstrat-ed as an effective framework for gait recognition. Through combining a large number of weak classifiers, the gener-alization errors can be greatly reduced. Although RSM-based gait recognition system is robust to a large number of covariate factors, it is, in essence an unimodal biometric system and h...
Chapter
Full-text available
Intro This chapter examines the use of biometrics techniques within forensic science. It discusses the historic connections between the subjects and then examines face and ear biometrics in detail. The detailed examination starts from one of the most common and familiar biometric features - face - and then introduces a new biometric feature - ear -...
Article
Full-text available
Face recognition (FR) systems in real-world applications need to deal with a wide range of interferences, such as occlusions and disguises in face images. Compared with other forms of interferences such as nonuniform illumination and pose changes, face with occlusions has not attracted enough attention yet. A novel approach, coined dynamic image-to...
Conference Paper
Full-text available
Face recognition technique is widely used in the real-world applications over the past decade. Different from other biometric traits such as fingerprint and iris, face is the biological nature for humans to recognise a person even met just once. In this paper, we propose a novel method, which simulates the mechanism of fixations and saccades in hum...
Conference Paper
Full-text available
A novel approach Dynamic Image-to-Class Warping (DICW) is proposed to deal with partially occluded face recognition in this work. An image is partitioned into sub-patches, which are then concatenated in the raster scan order to form a sequence. A face consists of forehead, eyes, nose, mouth and chin in a natural order and this order does not change...
Article
Full-text available
We investigate whether the confidence of management teams, defined as the certainty about handling what one desires to do, affects the capacity of firms to raise external capital. Drawing on psychology research, we run an experiment in which participants are asked to assess the confidence of the management teams of 515 initial coin offerings (ICOs)...
Article
Full-text available
The research examines to what extent emotional place attachment is impacted by people's feelings towards international companies associated with the place, and what mechanism and conditions drive such effects. The research draws on the feelings-as-information perspective and empirically tests the relationships in three international multi-method st...
Preprint
Working paper. SSRN link: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3428800
Article
Full-text available
Homeless people experience a unique set of challenges leading to pervasive health and social problems. An increasing number of researchers have harnessed photographic data to gain a unique perspective of marginalised groups. The aim of the study is to explore the feasibility of using photographs in research to understand the complex environment exp...
Conference Paper
Full-text available
Convolutional Neural Networks (CNN) have been applied to age-related research as the core framework. Although faces are composed of numerous facial attributes, most works with CNNs still consider a face as a typical object and do not pay enough attention to facial regions that carry age-specific feature for this particular task. In this paper, we p...
Preprint
Full-text available
Convolutional Neural Networks (CNN) have been applied to age-related research as the core framework. Although faces are composed of numerous facial attributes, most works with CNNs still consider a face as a typical object and do not pay enough attention to facial regions that carry age-specific feature for this particular task. In this paper, we p...
Article
Full-text available
The stable relationship between personality and EEG ensures the feasibility of personality inference from brain activities. In this paper, we recognize an individual's personality traits by analyzing brain waves when he or she watches emotional materials. Thirty-seven participants took part in this study and watched 7 standardized film clips that c...
Conference Paper
Full-text available
Profile images on social networks are users' opportunity to present themselves and to affect how others judge them. We examine what Facebook images say about users' perceived and measured intelligence. 1,122 Facebook users completed a matrices intelligence test and shared their current Facebook profile image. Strangers also rated the images for per...
Chapter
Full-text available
Human recognition from video traces is an important task in forensic investigations and evidence evaluations. Compared with other biometric traits, face is one of the most popularly used modalities for human recognition due to the fact that its collection is non-intrusive and requires less cooperation from the subjects. Moreover, face images taken...
Article
Full-text available
Profile pictures on social networks are users' opportunity to present themselves and to affect how others judge them. In most social networks, profile pictures are public by default. 1,122 Facebook users completed a matrices intelligence test and shared their current Facebook profile picture. Strangers also rated the images for perceived intelligen...
Conference Paper
Full-text available
Tilting refers to losing control due to negative emotions, behaving erratically, and thereby suffering adverse consequences. The term tilt originated in poker playing communities, where it is often a consequence of so called bad beats, i.e. losing with an unlikely-to-lose poker hand. Often resulting in devastating monetary losses, tilting is ubiqui...
Conference Paper
Full-text available
The sensor pattern noise (SPN) based source camera identification technique has been well established. The common practice is to subtract a denoised image from the original one to get an estimate of the SPN. Various techniques to improve SPN's reliability have previously been proposed. Identifying the most effective technique is important, for both...
Conference Paper
Full-text available
This paper reviews the contemporary (face, gait, and fusion) compu-tational approaches for automatic human identification at a distance. For remote identification, there may exist large intra-class variations that can affect the per-formance of face/gait systems substantially. First, we review the face recognition algorithms in light of factors, su...
Article
Full-text available
Contrast enhancements, such as histogram equalization or gamma correction, are widely used by malicious attackers to conceal the cut-and-paste trails in doctored images. Therefore, detecting the traces left by contrast enhancements can be an effective way of exposing cut-and-paste image forgery. In this work, two improved forensic methods of detect...
Article
Full-text available
Human face/gait-based gender recognition has been intensively studied in the previous literatures, yet most of them are based on the same database. Although nearly perfect gender recognition rates can be achieved in the same face/gait dataset, they assume a closed-world and neglect the problems caused by dataset bias. Real-world human gender recogn...
Conference Paper
Full-text available
Face recognition (FR) systems in real environment need to deal with uncontrolled variations in face images such as occlusions and disguise. Most of the current FR algorithms do not consider the fact that occlusions may exist in both reference and query images. In this paper, we summarise three occlusion cases that a realistic FR system should take...
Conference Paper
Full-text available
A large amount of work has been done over the past decades in face recognition (FR). Most of them deal with uncontrolled variations such as changes in illumination, pose, expression and occlusion individually. However, limited work focuses on simultaneously handling multiple variations. In real-world environment, uncontrolled variations usually coe...