53 Result(s)
within
Kejun **
Artificial Intelligence
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Article
Target-aware pooling combining global contexts for aerial tracking
The UAVs captured targets are relatively small when compared with the ordinary surveillance cameras. Thus, a strong discriminative ability is required for aerial trackers to accurately locate small targets, es...
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Chapter and Conference Paper
Application of Image Processing in Air-Ground Combined Fire Fighting System
In modern fire rescue, the rise of UAV technology has brought unprecedented advantages for the air-ground joint fire fighting system to deal with emergencies such as fires. Image processing, a key component of...
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Chapter and Conference Paper
EFPNet: Effective Fusion Pyramid Network for Tiny Person Detection in UAV Images
Unmanned Aerial Vehicles (UAVs) have found extensive applications in the field of rescue and navigation scenarios. The objects in UAV images are generally with small sizes, which rises a serious challenge of o...
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Article
Multi-intent autonomous decision-making for air combat with deep reinforcement learning
Autonomous decision-making in unmanned aerial vehicle (UVA) confrontations presents challenges in making optimal strategy. Therefore, deep reinforcement learning (DRL) has been adopted to address these issues....
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Article
Convex hull regression strategy for people detection on top-view fisheye images
Due to the severe distortion of the fisheye image, the rectangular bounding box contain a lot of invalid information. So the multi-point representation method are emerging. However, it will fail in some extrem...
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Article
PAII: A Pose Alignment Network with Information Interaction for Person Re-identification
As an important part of intelligent surveillance systems, person re-identification (re-ID) has a wide range of application prospects in smart cities. However, due to occlusion, viewpoint variation, and backgro...
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Article
Incorporating structured emotion commonsense knowledge and interpersonal relation into context-aware emotion recognition
Traditional emotion recognition technology often focuses on recognizing human biometrics such as facial expressions or body postures. However, psychological research shows that the context (contextual informat...
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Chapter and Conference Paper
U-TEN: An Unsupervised Two-Branch Enhancement Network for Object Detection Under Complex-Light Condition
The goal of low-light enhancement is to improve the visual quality of dark regions in an image. However, the existing low-light enhancement methods always failed in nighttime traffic surveillance. The reason c...
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Chapter
Blockchain and Financial E-services
Blockchain is an append-only digital database with a decentralized peer-to-peer framework. Motivated by tremendous attention from both academic and industrial communities since the emergence of cryptocurrency,...
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Article
Spline estimation of functional principal components via manifold conjugate gradient algorithm
Functional principal component analysis has become the most important dimension reduction technique in functional data analysis. Based on B-spline approximation, functional principal components (FPCs) can be e...
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Article
Sun-sky model estimation from outdoor images
When a virtual object is inserted into an outdoor image, the recovery of scene illumination has a critical effect on the mix of virtual objects and actual reality. There are two main parts of the object in the...
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Article
A multi-branch attention and alignment network for person re-identification
Person re-identification plays a critical role in video surveillance and has a variety of applications. However, the body misalignment caused by detectors or pose changes sometimes makes it challenging to matc...
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Article
Lightweight network architecture using difference saliency maps for facial action unit detection
Facial action unit (AU) detection has been applied in a wild range of fields, and has attracted great attention over the last decades. Most existing methods employ the predefined regions of interest with same ...
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Chapter and Conference Paper
An Integrated Navigation Method for UAV Autonomous Landing Based on Inertial and Vision Sensors
In the process of autonomous landing of unmanned aerial vehicles (UAV), the vision sensor is restricted by the field of view and UAV maneuvering process, which may make the acquired relative position/attitude ...
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Chapter and Conference Paper
Network Security Situation Assessment Method Based on MHSA-FL Model
Confront the evaluation quality problems caused by high data dimension and imbalance between positive and negative samples in the network security situation, this paper proposes a new situation assessment meth...
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Article
Open AccessResearch on Material and Morphological Structure of Venus Flytrap Trigger Hair
Venus flytrap can sense the very small insects that touch its tactile receptors, known as trigger hairs, and thus capture prey to maintain its nutrient demand. However, there are few studies on the trigger hai...
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Article
HEU Emotion: a large-scale database for multimodal emotion recognition in the wild
The study of affective computing in the wild setting is underpinned by databases. Existing multimodal emotion databases in the real-world conditions are few and small, with a limited number of subjects and exp...
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Article
Segmentation mask-guided person image generation
Background clutters and pose variation are the key factors which prevents the network from learning a robust Person re-identification (Re-ID) model. To address the problem above, we first introduce the binary ...
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Article
Open AccessCrack-based and Hair-like Sensors Inspired from Arthropods: A Review
Over a long period of time, arthropods evolve to have two excellent mechanical sensilla of slit sensilla and trichobothria sensilla, which construct a perfect perception system. The former mainly perceives the...
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Chapter and Conference Paper
Optimal Location for Electric Vehicles Charging Stations Based on P-Median Model
To some certain extent, the development of electric vehicles relies on the availability of infrastructure, especially charging facility. There have been a large amount of studies on the location of electric ve...
