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Chapter and Conference Paper
Structural Reparameterization Network on Point Cloud Semantic Segmentation
In recent years, 3D point cloud semantic segmentation has made remarkable progress. However, most existing work focuses on designing intricate structures to aggregate local features, resulting in a significant...
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Chapter and Conference Paper
Improved SlowFast Network with Spatial–Temporal Attention Module for Action Recognition
With the constructing of large volume video dataset and the rapid development of machine vision technology, action recognition in videos has become a hot topic in many applications. The appearance and tempo of...
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Chapter and Conference Paper
TSR-Net: A Two-Step Reconstruction Approach for Cherenkov-Excited Luminescence Scanned Tomography
Cherenkov-excited luminescence scanned tomography (CELST) can recover a high-resolution 3D distribution of luminescent sources within tissue. However, reconstructing the distribution of the quantum field from ...
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Chapter and Conference Paper
A Self-supervised Learning Reconstruction Algorithm with an Encoder-Decoder Architecture for Diffuse Optical Tomography
Diffuse optical tomography (DOT) is an emerging non-invasive optical imaging technique, which has a promising application in breast cancer detection and diagnosis. However, the conventional image reconstructio...
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Chapter and Conference Paper
Mouse-Brain Topology Improved Evolutionary Neural Network for Efficient Reinforcement Learning
The brain structures are key indicators to represent the complexity of many cognitive functions, e.g., visual pathways and memory circuits. Inspired by the topology of the mouse brain provided by the Allen Bra...
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Chapter and Conference Paper
Detection Method of Potholes on Highway Pavement Based on Yolov5
Pavement pothole detection is very important for highway maintenance and safety management. Aiming at the problems of low detection accuracy and low efficiency due to the characteristics of various shapes, dif...
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Chapter and Conference Paper
Facial Expression Recognition Based on Multi-scale Feature Fusion Convolutional Neural Network and Attention Mechanism
Facial expression recognition plays an important role in human-computer interaction. At present, the traditional algorithm applied to facial expression recognition is not accurate enough, and deep learning met...
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Chapter and Conference Paper
The Identification of Slope Crack Based on Convolutional Neural Network
In the process of construction and operation of mountain roads, slope disasters such as landslide and collapse are often encountered, which seriously affect the transportation infrastructure and safe operation...
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Chapter and Conference Paper
A Multi-component Chiller Status Prediction Method Using E-LSTM
With the development of intelligent information technology, chiller system composed by different interrelated components has been widely used in industry to cool products and machinery. Predicting the status o...
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Chapter and Conference Paper
Near-Duplicate Video Detection Based on Temporal and Spatial Key Points
With the development of the Internet and video editing technologies, there are a large number of near-duplicate videos on the Internet today. This can cause a lot of trouble in video content retrieval and copy...
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Chapter and Conference Paper
Nonlinear Correction Based on Depth Neural Network
With the global climate change, the high-altitude detection is more and more important in the climate prediction. Due to the interference of the measured objects and the measured environment, the input and out...
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Chapter and Conference Paper
An Improvement for View Synthesis Optimization Algorithm
View synthesis optimization (VSO) allows 3D video system to improve the quality of synthesized views (SVs). Based on the latest segment-based VSO scheme, we find that not all of the intra mode and skip interva...
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Chapter and Conference Paper
License Plate Occlusion Detection Based on Character Jump
The license plate location is the basis of the license plate occlusion detection. On the basis of the positioning, the key is to accurately determine the license plate occlusion. This paper proposes a license ...
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Chapter and Conference Paper
An Adaptive Model Parameters Prediction Mechanism for LCU-Level Rate Control
In this paper, an adaptive model parameters prediction mechanism is proposed to take the place of parameter updating method based on the experience value in HEVC. And, normalized mutual information is exploite...
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Chapter and Conference Paper
Application of Data Mining Technology Based on Apriori Algorithm in Remote Monitoring System
At present, the theoretical analysis of gas station oil and gas data is weak, and there is no unified platform for collecting and uploading. In view of these problems, a set of data acquisition and mining sche...
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Chapter and Conference Paper
Fast Intra Mode Decision Algorithm for 3D-HEVC Transcoding
To satisfy the popularity of 3D application, 3D-HEVC has been developed as a new video encoding standard for multiviews. What’s more, as the development of internet and mobile services, the use of 3D video ap...
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Chapter and Conference Paper
An Automatic Detection Method for Morse Signal Based on Machine Learning
In this paper, an automatic detection for time-frequency map of Morse signal is proposed base on machine learning. Firstly, a preprocessing method based on energy accumulation is proposed, and the signal regio...
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Chapter and Conference Paper
The Detection of Beard Behavior of Taxi Drivers Based on Traffic Surveillance Video
This paper presents a method for automatic detection of taxi drivers beard behavior. First, Haar-Adaboost algorithm is used to locate the special window area of taxi. Secondly, the image is preprocessed by mul...
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Chapter and Conference Paper
Sensor Data Mining for Gas Station Online Monitoring
Aiming at the geography and manpower inconvenience during the monitoring and inspection of the gas station, a remote online monitoring system for the gas station based on the sensor network is proposed in this...
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Chapter and Conference Paper
Fast Coding Unit Depth Decision for HEVC Intra Coding
To reduce the complexity of High Efficiency Video Coding (HEVC), this paper focuses on innovative works for fast coding tree unit (CTU) depth decision in HEVC intra coding based on a proposed CTU depth range ...
