4,222 Result(s)
within
Image Processing and Computer Vision
Pattern Recognition
**li Zhang
Chapter
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Chapter and Conference Paper
Reinforcement Learning-Based Policy Selection of Multi-sensor Cyber Physical Systems Under DoS Attacks
This paper focuses on the problem of optimal policy selection for sensors and attackers in cyber-physical system (CPS) with multiple sensors under denial-of-service (DoS) attacks. DoS attacks have caused treme...
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Chapter and Conference Paper
Design of Intelligent Twin-Screw Extruder Control System Based on Improved PSO-BP Neural Network
In the biaxially oriented polyester film production line, the extrusion system is a very important link, and the stability of the extruder pressure directly affects the quality of the film product. In order to...
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Chapter and Conference Paper
TICondition: Expanding Control Capabilities for Text-to-Image Generation with Multi-Modal Conditions
Text-to-image generation models have achieved significant advancements, enabling the generation of high-quality and diverse images. However, solely relying on text prompts often leads to limited control over i...
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Chapter and Conference Paper
Eye Gaze Analysis Towards an AI System for Dynamic Content Layout
As an instance of dynamic content layout in the context of object-based TV broadcasting, graphic insertions within football match replays are presented and discussed. It is offered that an AI system may be an ...
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Chapter and Conference Paper
Research on Water Surface Environment Perception Method Based on Visual and Positional Information Fusion
The water surface environment characterised by complexity and variability, is heavily influenced by weather. To address this problem, this paper proposes a water surface environment perception network based on...
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Chapter and Conference Paper
Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction
Visual question answer (VQA) grounding, aimed at locating the visual evidence associated with the answers while answering questions, has attracted increasing research interest. To locate the evidence, most exi...
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Chapter and Conference Paper
A Custom GAN-Based Robust Algorithm for Medical Image Watermarking
In recent years, digital healthcare and deep learning have seen substantial advancements, with medical imaging emerging as a crucial component. Despite this progress, the security of these images remains a sig...
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Chapter and Conference Paper
A Region Based Non-overlap** Reference Speech Estimation Method for Speaker Extraction
Speaker extraction is a technique that separates the target speech from multi-talker mixtures using a priori information about the target speaker, such as pre-enrolled reference speech. However, in real-world ...
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Chapter and Conference Paper
Tackling Background Misclassification in Box-Supervised Segmentation: A Background Constraint Approach
In contrast to the well-established paradigm of supervised instance segmentation, the emerging weakly supervised methodology encounters numerous challenges. One significant difficulty lies in the absence of pi...
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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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Chapter and Conference Paper
An Attention Detection System Based on Gaze Estimation Using Self-supervised Learning
With the rapid development of online education around world, it becomes difficult for teachers to evaluate the effect of learning during the online class. To solve this problem, an attention detection system b...
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Chapter and Conference Paper
Cognitive Impairment Detection System based on Image Segmentation and Artificial Intelligence Art
This paper presents an AI-based system designed to detect cognitive impairments in older adults using modern technologies such as image recognition and AI painting. The System aims to address the limitations o...
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Chapter and Conference Paper
RsMmFormer: Multimodal Transformer Using Multiscale Self-attention for Remote Sensing Image Classification
Remote Sensing (RS) has been widely utilized in various Earth Observation (EO) missions, including land cover classification and environmental monitoring. Unlike computer vision tasks on natural images, collec...
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Chapter and Conference Paper
SPCTNet: A Series-Parallel CNN and Transformer Network for 3D Medical Image Segmentation
Medical image segmentation is crucial for lesion localization and surgical navigation. Recent advancements in medical image segmentation have been driven by Convolutional Neural Networks (CNNs) and Transformer...
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Chapter and Conference Paper
Research on Estimation of Kyphosis Degree Based on Monocular Camera for Achieving Furniture’s Adaptive Height Adjustment
Senile kyphosis, characterized by the curvature of the back caused by osteoporosis and muscle degeneration, can impair mobility and even lead to more severe issues such as fractures. In order to address this p...
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Chapter and Conference Paper
MoCap-Video Data Retrieval with Deep Cross-Modal Learning
Cross-modal retrieval between video and motion capture (MoCap) data facilitates efficient reuse of human motion data in either skeletal or video format. For this purpose, we propose a deep cross-modal learning...
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Chapter and Conference Paper
A UAV Penetration Method Based on the Improved A* Algorithm
This paper presents an algorithm for addressing the penetration problem between coverage regions. The algorithm combines the subregion coverage sequence determination and the A* algorithm-based drone obstacle ...
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Chapter and Conference Paper
Concealed Object Segmentation with Hierarchical Coherence Modeling
Concealed object segmentation (COS) is a challenging task that involves localizing and segmenting those concealed objects that are visually blended with their surrounding environments. Despite achieving remark...
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Chapter and Conference Paper
EmoAda: A Multimodal Emotion Interaction and Psychological Adaptation System
In recent years, anxiety and depression have placed a significant burden on society. However, the supply of psychological services is inadequate and costly. With advancements in multimedia computing and large ...
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Chapter and Conference Paper
SSK-Yolo: Global Feature-Driven Small Object Detection Network for Images
Timely and effective locust detection to prevent locust plagues is crucial for safeguarding agricultural production and ecological balance. However, under natural conditions, the “colour mixing mechanism” of l...
