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Chapter and Conference Paper
Envisioning the Future Trends of Smart Assistive Devices to Support Activities of Daily Living for Older Adults with Disabilities
The elderly care industry will face significant pressure, especially the disabled older adults will be the crucial object of service and support. Older adults with a disability who have lost the ability to liv...
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Chapter and Conference Paper
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT
Accurate bone segmentation and anatomical landmark localization are essential tasks in computer-aided surgical simulation for patients with craniomaxillofacial (CMF) deformities. To leverage the complementarit...
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Chapter and Conference Paper
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Object detection is a hot topic with various applications in computer vision, e.g., image understanding, autonomous driving, and video surveillance. Much of the progresses have been driven by the availability of ...
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Chapter and Conference Paper
Hybrid Cross-entropy Algorithm for Mixed Model U-shaped Assembly Line Balancing Problem
Assembly line balancing problem are widespread in manufacturing industries such as electronics or auto parts. As an efficient metaheuristic, cross-entropy (CE) method can be applied to solve mixed model U-shap...
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Chapter and Conference Paper
Multiple Thermal Face Detection in Unconstrained Environments Using Fully Convolutional Networks
Multiple thermal face detection in unconstrained environments has received increasing attention due to its potential in liveness detection and night-time surveillance. This paper presents an effective method b...
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Chapter and Conference Paper
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
We propose a straightforward method that simultaneously reconstructs the 3D facial structure and provides dense alignment. To achieve this, we design a 2D representation called UV position map which records th...
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Chapter and Conference Paper
Joint Person Segmentation and Identification in Synchronized First- and Third-Person Videos
In a world of pervasive cameras, public spaces are often captured from multiple perspectives by cameras of different types, both fixed and mobile. An important problem is to organize these heterogeneous collec...
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Chapter and Conference Paper
Task-Free Brainprint Recognition Based on Degree of Brain Networks
Personal identification plays an important role in the information society. However, the traditional methods of identification cannot fully guarantee security. As a new type of biometrics, brainprint has remar...
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Chapter and Conference Paper
Affine Subspace Representation for Feature Description
This paper proposes a novel Affine Subspace Representation (ASR) descriptor to deal with affine distortions induced by viewpoint changes. Unlike the traditional local descriptors such as SIFT, ASR inherently e...
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Chapter and Conference Paper
Generation of Environmental Representation of a Large Indoor Parking Lot
A technique for generating environmental representations of indoor parking lots is presented. The environmental representation of a parking lot is of use for the surveillance and management of the parking lot....
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Chapter and Conference Paper
Basic Level Advantage during Information Retrieval: An ERP Study
Categorization concept could be divided into three levels according to the degree of generalization: superordinate, basic and the subordinate levels. To investigate the neural mechanism of concept information ...
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Chapter and Conference Paper
Using Hybrid Kernel Method for Question Classification in CQA
A new question classification approach is presented for questions in CQA (Community Question and answering Systems). In CQA, most of the questions are non-factoid questions and can hardly be classified accordi...
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Chapter and Conference Paper
Research on Classification Methods of Glycoside Hydrolases Mechanism
Data mining methods are helpful in analyzing large amount of sequence and structure information of proteins. Classifiers can do a good job in achieving accurate mechanism classification of glycoside hydrolases...
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Chapter and Conference Paper
Object Detection Combining Recognition and Segmentation
We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation step and a verification step. In the top...
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Chapter and Conference Paper
Efficient 3D Face Reconstruction from a Single 2D Image by Combining Statistical and Geometrical Information
In this paper, we present an efficient algorithm for reconstructing 3D head model from a single 2D image based on using a 3D eigenhead model. This system is composed of two components, offline training of the ...
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Chapter and Conference Paper
Feature Selection for Fast Image Classification with Support Vector Machines
According to statistical learning theory, we propose a feature selection method using support vector machines (SVMs). By exploiting the power of SVMs, we integrate the two tasks, feature selection and classifi...