64 Result(s)
within
Zhuo** **e
Computer Science
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
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Article
RaSTFormer: region-aware spatiotemporal transformer for visual homogenization recognition in short videos
With the surge in network traffic, the homogenization of short video content is becoming increasingly prominent, resulting in low-quality entertainment due to proliferation and infringement. Therefore, recogni...
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Article
Open AccessMCAD: Multi-classification anomaly detection with relational knowledge distillation
With the wide application of deep learning in anomaly detection (AD), industrial vision AD has achieved remarkable success. However, current AD usually focuses on anomaly localization and rarely investigates a...
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Article
HDUD-Net: heterogeneous decoupling unsupervised dehaze network
Haze reduces the imaging effectiveness of outdoor vision systems, significantly degrading the quality of images; hence, reducing haze has been a focus of many studies. In recent years, decoupled representation...
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Article
FATE: a three-stage method for arithmetical exercise correction
As the number of primary students rapidly rises, the highly repetitive task of correcting arithmetical exercises consumes much time for teachers and hinders them from concentrating more on the growth of studen...
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Article
Open AccessImproving unified named entity recognition by incorporating mention relevance
Named entity recognition (NER) is a fundamental task for natural language processing, which aims to detect mentions of real-world entities from text and classifying them into predefined types. Recently, resear...
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Article
EduNER: a Chinese named entity recognition dataset for education research
A high-quality domain-oriented dataset is crucial for the domain-specific named entity recognition (NER) task. In this study, we introduce a novel education-oriented Chinese NER dataset (EduNER). To provide re...
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Article
A multi-sensor feature fusion network model for bearings grease life assessment in accelerated experiments
This paper presents a multi-sensor feature fusion (MSFF) neural network comprised of two inception layer-type multiple channel feature fusion (MCFF) networks for both inner-sensor and cross-sensor feature fusi...
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Chapter and Conference Paper
Global Balanced Text Classification for Stable Disease Diagnosis
Disease diagnosis plays an important role in the application of clinical decision system. When applying artificial intelligence models in disease diagnosis, one should be aware of the spurious correlations lea...
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Chapter and Conference Paper
Domain Adaptive Pre-trained Model for Mushroom Image Classification
Mushroom is highly diverse in morphology and colors, and difficult for ordinary people to discriminate between them. The lack of high-quality labeled mushroom datasets is one of the bottlenecks restricting cut...
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Chapter and Conference Paper
Multimodal Conditional VAE for Zero-Shot Real-World Event Discovery
In this paper, we propose a multimodal conditional variational auto-encoder (MC-VAE) in two branches to achieve a unified real-world event embedding space for zero-shot event discovery. More specifically, give...
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Chapter and Conference Paper
Correction to: Lightweight Model Inference on Resource-Constrained Computing Nodes in Intelligent Surveillance Systems
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Chapter and Conference Paper
MST-GNN: A Multi-scale Temporal-Enhanced Graph Neural Network for Anomaly Detection in Multivariate Time Series
Anomaly detection in time is an important task in many applications. Sensors are deployed in the industrial site to monitor the condition of different attributes or different places in real time, which generat...
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Chapter and Conference Paper
An Improved Stimulus Reconstruction Method for EEG-Based Short-Time Auditory Attention Detection
Short-time auditory attention detection (AAD) based on electroencephalography (EEG) can be utilized to help hearing-impaired people improve their perception abilities in multi-speaker environments. However, th...
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Chapter and Conference Paper
A Multi-truth Discovery Approach Based on Confidence Interval Estimation of Truths
The rapid development of the Internet makes it easier to spread and obtain data. However, conflicting descriptions of an object from different sources make identifying trustworthy information challenging. This...
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Chapter and Conference Paper
A Temporal-Context-Aware Approach for Individual Human Mobility Inference Based on Sparse Trajectory Data
Inferring individual human mobility at a given time is not only beneficial for personalized location-based services, but also crucial for trajectory tracking of the confirmed cases in the context of the COVID-...
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Chapter and Conference Paper
Lightweight Model Inference on Resource-Constrained Computing Nodes in Intelligent Surveillance Systems
Intelligent Surveillance System (ISS) is an important application combining deep learning with IoT technologies. Meanwhile, multiple targets multiple camera tracking (MTMCT) has been widely recognized as a pro...
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Article
A deep learning framework for detecting and localizing abnormal pedestrian behaviors at grade crossings
This paper presents a deep learning-based framework to detect and localize the pedestrians’ anomaly behaviors in videos captured at the grade crossing. A skeleton detection and tracking algorithm are employed ...
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Article
SiamOA: siamese offset-aware object tracking
Object tracking task can be divided into two subtasks: classification and regression. Some state-of-the-art methods utilize classification score and quality estimation score to select proposal box. However, th...
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Article
TF-SOD: a novel transformer framework for salient object detection
Most of existing salient object detection models are based on fully convolutional network (FCN), which learn multi-scale/level semantic information through convolutional layers to obtain high-quality predicted...
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Article
An improved method for sink node deployment in wireless sensor network to big data
Wireless sensor network (WSNs) technology and Internet technology penetrate and extend each other. It is a good way for physical changes of objects, state recognition and data collection, and becomes an import...
