9,267 Result(s)
within
Ri** Feng
Computer Science
English
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Article
A stabilized Crank-Nicolson virtual element method for the unsteady Navier-Stokes problems with high Reynolds number
This paper studies a stabilized virtual element method for the unsteady Navier-Stokes problems on polygonal meshes. Using “equal-order” virtual elements in space and the Crank-Nicolson scheme in time, we give ...
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Article
CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection
Recently, segmentation-based methods are quite popular in scene text detection, which mainly contain two steps: text kernel segmentation and expansion. However, the segmentation process only considers each pix...
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Article
FCNet: a deep neural network based on multi-channel feature cascading for image denoising
A lot of current work based on convolutional neural networks (CNNs) has fetched good visual results on AWGN (additive white Gaussian noise) removal. However, ordinary neural networks are unable to recover deta...
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The double-feature extraction method based on slope entropy and symbolic dynamic entropy for the fault diagnosis of rolling bearing
This paper explores the application of slope entropy in fault diagnosis. In order to improve the recognition rate of faults, double-feature extraction is proposed, which combines slope entropy (SLEn) and symbo...
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Article
Uncertainty Modeling for Group Re-Identification
Group re-identification (GReID) aims to correctly associate images containing the same group members captured with non-overlap** camera networks, which has important applications in video surveillance. Unlik...
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UniMod1K: Towards a More Universal Large-Scale Dataset and Benchmark for Multi-modal Learning
The emergence of large-scale high-quality datasets has stimulated the rapid development of deep learning in recent years. However, most computer vision tasks focus on the visual modality only, resulting in a h...
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Article
Softmax-Free Linear Transformers
Vision transformers (ViTs) have pushed the state-of-the-art for visual perception tasks. The self-attention mechanism underpinning the strength of ViTs has a quadratic complexity in both computation and memory...
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Preconditioning techniques of all-at-once systems for multi-term time-fractional diffusion equations
In this paper, we consider solutions for discrete systems arising from multi-term time-fractional diffusion equations. Using discrete sine transform techniques, we find that all-at-once systems of such equatio...
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Article
Does Confusion Really Hurt Novel Class Discovery?
When sampling data of specific classes (i.e., known classes) for a scientific task, collectors may encounter unknown classes (i.e., novel classes). Since these novel classes might be valuable for future research,...
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Article
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 transferring a pre-trained model to changing weather conditions,...
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Article
Open AccessHierarchical adaptive evolution framework for privacy-preserving data publishing
The growing need for data publication and the escalating concerns regarding data privacy have led to a surge in interest in Privacy-Preserving Data Publishing (PPDP) across research, industry, and government s...
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Article
Disturbance event triggered-model predictive tracking control for 4WIS–4WID mobile robot
Wheel-ground interactions during operation cause the robot to deviate from the reference trajectory, affecting the stability and safety of the robot. An event-triggered model predictive control based on the ob...
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Article
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 intelligence generated image content (AIGIC) as an important ap...
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Open AccessAn agent-based persuasion model using emotion-driven concession and multi-objective optimization
Multi-attribute negotiation is essentially a multi-objective optimization (MOO) problem, where models of agent-based emotional persuasion (EP) can exhibit characteristics of anthropomorphism. This paper propos...
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Article
MBGNet:Multi-branch boundary generation network with temporal context aggregation for temporal action detection
Temporal action detection is an important and fundamental video understanding task that aims to locate the temporal regions where human actions or events may occur and to identify the classes of actions in unt...
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Article
A multi-scale no-reference video quality assessment method based on transformer
Video quality assessment is essential for optimizing user experience, enhancing network efficiency, supporting video production and editing, improving advertising effectiveness, and strengthening security in m...
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Article
MFDNet: Multi-Frequency Deflare Network for efficient nighttime flare removal
When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the captured photographs, affecting the photographs’ visual quality. The main challenge in flare removal is to elimi...
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Article
Attention-enhanced UNet and gradient boosting decision tree for objective evaluation of fabric pilling grade based on image analysis
Fabric pilling can significantly affect the usability and appearance of fabrics; making the evaluation of pilling grades a crucial aspect of textile quality inspection. Currently, manual visual inspection is t...
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Article
Multi-party codebook distribution strategy based on secret sharing
The paper addresses the issue of secure distribution of codebooks in the field of information security, particularly in the domain of covert communication. We propose a codebook distribution technique based on...
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Article
Bridging distribution gaps: invariant pattern discovery for dynamic graph learning
Temporal graph networks (TGNs) have been proposed to facilitate learning on dynamic graphs which are composed of interaction events among nodes. However, existing TGNs suffer from poor generalization under dis...
