28 Result(s)
within
**ao Chaobo
Computer Science
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Article
Grey-adversary perceptual network for anomaly detection
The task of anomaly detection in surveillance videos is challenging due to the sparsity and diversity. In order to perceive more discriminative features and further improve performance, a grey-adversary percep...
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Article
Channel based approach via faster dual prediction network for video anomaly detection
Due to the fuzziness of anomaly definition and the complexity of scenes in real video data, video anomaly detection is still a challenging task. In this work, we explored a novel lightweight dual branch convol...
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Article
Community detection in attributed networks via adaptive deep nonnegative matrix factorization
Community detection plays an important role in analyzing attributed networks. It attempts to find the optimal cluster structures to identify valuable information. Although deep nonnegative matrix factorization...
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Article
Low-Light Image Enhancement via Regularized Gaussian Fields Model
Retinex decomposition is a prevalent solution to low-light image enhancement. It is usually considered as a constrained optimization problem. To improve enhancement performance, the Retinex model is incorporat...
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Article
Video anomaly detection based on scene classification
As a significant research hotspot in the field of computer vision, video anomaly detection plays an essential role in ensuring public safety. Anomaly detection remains a challenging task given the complex situ...
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Article
DIRS-KG: a KG-enhanced interactive recommender system based on deep reinforcement learning
Recommender systems play a vital role in discovering contents of interest to users in this information explosion era. However, traditional recommender systems only consider user immediate feedback and tend to ...
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Article
Multi-memory video anomaly detection based on scene object distribution
With the popularity of surveillance equipment and the rise of intelligent surveillance, video anomaly detection has gradually become a research hotspot. Among them, for video processing, the three-channel vide...
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Article
MPAT: multi-path attention temporal method for video anomaly detection
Video anomaly detection is a recent focus of computer vision research thanks to the rarity and uncertainty of anomalous events. However, most existing research works are limited to learning the apparent and mo...
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Chapter and Conference Paper
ScholarRec: A User Recommendation System for Academic Social Network
With the development of recommendation algorithms, recommendation systems are being widely used for recommendation tasks in different domains. However, most recommendation systems do not make good use of valid...
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Article
Future frame prediction based on generative assistant discriminative network for anomaly detection
Anomaly detection plays an important role in intelligent surveillance and has attracted increasing attention from researchers in recent years. It is generally regarded as discrimination that cannot be properly...
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Chapter and Conference Paper
Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification
Most of the existing graph contrastive learning methods for node classification focus on exploiting topological information of the attributed networks, with little attention to the attribute information of the...
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Article
A novel vertical-cross-horizontal network
In order to integrate the ability of feature extraction of deep structure and short training time of broad structure, we propose a novel Vertical-Cross-Horizontal Network (VCHN) for data recognition, which mai...
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Chapter and Conference Paper
SCHOLAT Link Prediction: A Link Prediction Dataset Fusing Topology and Attribute Information
Link prediction is an important research field on social network analysis. However, most existing link prediction datasets have not taken text attribute information into account. In this paper, we propose a no...
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Article
A self-tuning client-side metadata prefetching scheme for wide area network file systems
Client-side metadata prefetching is commonly used in wide area network (WAN) file systems because it can effectively hide network latency. However, most existing prefetching approaches do not meet the various ...
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Chapter and Conference Paper
Academic Paper Recommendation Method Combining Heterogeneous Network and Temporal Attributes
In the case of information overload of academic papers, the demand for academic paper recommendation is increasing. Most of the existing paper recommendation methods only utilize scholar friendship or paper co...
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Article
Fall detection based on fused saliency maps
Fall detection is drawing more attention from both academia and industry. The human body occupies smaller space relative to the background in images, so the complex background affects the extraction of human f...
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Chapter and Conference Paper
Transformed Network Based on Task-Driven
In view of the fact that the current networks mostly improve the network performance and robustness by proposing multiple strategies to update the network parameters, this paper puts forward a novel task-drive...
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Chapter and Conference Paper
Semi-supervised Semantic Segmentation of Multiple Lumbosacral Structures on CT
Labeled data is scarce in clinical practice, and labeling 3D medical data is time-consuming. The study aims to develop a deep learning network with a few labeled data and investigate its segmentation performan...
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Chapter and Conference Paper
Multi-features Integration for Speech Emotion Recognition
Speech not only conveys the content information but also reveals the emotions of speakers. In order to achieve effective speech emotion recognition, a novel multi-features integration algorithm has been propo...
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Chapter and Conference Paper
Generative Adversarial-Synergetic Networks for Anomaly Detection
Anomaly detection is an important and demanding problem in social harmony. However, due to the uncertainty, irregularity, diversity and scarcity of abnormal samples, the performance is often poor. This paper p...
