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CD-iNet: Deep Invertible Network for Perceptual Image Color Difference Measurement
Image color difference (CD) measurement, a crucial concept in color science and imaging technology, aims to quantify the perceived difference between...
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Learning Feature Restoration Transformer for Robust Dehazing Visual Object Tracking
In recent years, deep-learning-based visual object tracking has obtained promising results. However, a drastic performance drop is observed when...
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A full-detection association tracker with confidence optimization for real-time multi-object tracking
Multi-object tracking (MOT) aims to obtain trajectories with unique identifiers for multiple objects in a video stream. In current approaches,...
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Multi-source-free Domain Adaptive Object Detection
To enhance the transferability of object detection models in real-world scenarios where data is sampled from disparate distributions, considerable...
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Exploiting Diffusion Prior for Real-World Image Super-Resolution
We present a novel approach to leverage prior knowledge encapsulated in pre-trained text-to-image diffusion models for blind super-resolution....
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Virtual home staging and relighting from a single panorama under natural illumination
Virtual staging technique can digitally showcase a variety of real-world scenes. However, relighting indoor scenes from a single image is challenging...
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Industrial product surface defect detection via the fast denoising diffusion implicit model
In the age of intelligent manufacturing, surface defect detection plays a pivotal role in the automated quality control of industrial products,...
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Evaluation of data augmentation techniques on subjective tasks
Data augmentation is widely applied in various computer vision problems for artificially increasing the size of a dataset by transforming the...
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TOPCOAT: towards practical two-party Crystals-Dilithium
The development of threshold protocols based on lattice-signature schemes has been of increasing interest in the past several years. The main...
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End-to-end semi-supervised approach with modulated object queries for table detection in documents
Table detection, a pivotal task in document analysis, aims to precisely recognize and locate tables within document images. Although deep learning...
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Continual learning approaches to hand–eye calibration in robots
This study addresses the problem of hand–eye calibration in robotic systems by develo** Continual Learning (CL)-based approaches. Traditionally,...
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IMG: Deep Representation Graph Learning for Anomaly Detection in Industrial Control System
Network flow anomaly detection plays a critical role in the Industrial Control System (ICS). As industrial informatization advances, ICS encounters...
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Real-time and secure identity authentication transmission mechanism for artificial intelligence generated image content
The rapid development of generative artificial intelligence technology and large-scale pre-training models has led to the emergence of artificial...
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MDUNet: deep-prior unrolling network with multi-parameter data integration for low-dose computed tomography reconstruction
The goal of this study is to reconstruct a high-quality computed tomography (CT) image from low-dose acquisition using an unrolling deep...
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A novel single kernel parallel image encryption scheme based on a chaotic map
The development of communication technologies has increased concerns about data security, increasing the prominence of cryptography. Images are one...
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A Judicious way to restore random impulse noise using iterative weighted total variation diffusion technique
Various types of pixel candidates are available in the literature to replace impulse noise after effective detection. However, using them in the...
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An adversarial sample detection method based on heterogeneous denoising
Deep learning has been used in many computer-vision-based applications. However, deep neural networks are vulnerable to adversarial examples that...
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Hardware Efficient Reconfigurable Digital Hearing aid using Pascal Structure
This paper proposes a hardware efficient reconfigurable digital hearing aid with minimum delay and minimum matching error, employing Pascal structure...
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Joint features-guided linear transformer and CNN for efficient image super-resolution
Integrating convolutional neural networks (CNNs) and transformers has notably improved lightweight single image super-resolution (SISR) tasks....
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A framework of specialized knowledge distillation for Siamese tracker on challenging attributes
In recent years, Siamese network-based trackers have achieved significant improvements in real-time tracking. Despite their success, performance...
