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Flow-Guided Diffusion Autoencoder for Unsupervised Video Anomaly Detection
Video anomaly detection (VAD) aims to automatically detect abnormalities that deviate from expected behaviors. Due to the heavy reliance of...
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Latent Diffusion Based Multi-class Anomaly Detection
The unsupervised anomaly detection problem holds great importance but remains challenging to address due to the myriad of data possibilities in our...
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Fractional Diffusion Problems with Reflecting Boundaries
Anomalous diffusive transport, described by fractional differential equations, arises in a large variety of physical problems. We consider a...
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A continuous-time diffusion model for inferring multi-layer diffusion networks
Inferring multilayer diffusion networks from observed cascades is both crucial and realistic. To infer multilayer diffusion networks, constructing...
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Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations
This paper aims to address the unsupervised video anomaly detection (VAD) problem, which involves classifying each frame in a video as normal or...
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Unsupervised diffusion based anomaly detection for time series
Unsupervised anomaly detection aims to construct a model that effectively detects invisible anomalies by training and reconstruct normal data. While...
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Study of Sparsification Schemes for the FEM Stiffness Matrix of Fractional Diffusion Problems
Anomalous diffusion describes various natural and social phenomena and processes in which the Brownian motion hypothesis is violated. Such problems...
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Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
Deep generative models have emerged as promising tools for detecting arbitrary anomalies in data, dispensing with the necessity for manual labelling....
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Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI
Unsupervised anomaly segmentation aims to detect patterns that are distinct from any patterns processed during training, commonly called abnormal or...
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The meshless approach for solving 2D variable-order time-fractional advection–diffusion equation arising in anomalous transport
In this paper, with the aim of extending an elegant and straightforward numerical approximation to describe one of the most common physical phenomena...
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A robust tensor watermarking algorithm for diffusion-tensor images
Watermarking algorithms that use convolution neural networks have exhibited good robustness in studies of deep learning networks. However, after...
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Dual-Channel Autoencoder with Key Region Feature Enhancement for Video Anomalous Event Detection
Video anomaly event detection is crucial for analyzing surveillance videos. Existing methods have limitations: frame-level detection fails to remove...
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Data Augmentation Method Based on Partial Noise Diffusion Strategy for One-Class Defect Detection Task
One-class defect detection has proven to be an effective technique. However, the performance of complex models is often limited by existing data...
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Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models
Methods for out-of-distribution (OOD) detection that scale to 3D data are crucial components of any real-world clinical deep learning system. Classic...
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Social velocity based spatio-temporal anomalous daily activity discovery of social media users
Anomalous daily activities are the activities that do not fit into normal daily behavior of social media users. Discovering anomalous daily...
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Diffusion Models for Medical Anomaly Detection
In medical applications, weakly supervised anomaly detection methods are of great interest, as only image-level annotations are required for...
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On the Solution of Time-Fractional Diffusion Models
In many situations, the analysis of viscoelastic materials, like polymers, takes benefit from the introduction of fractional operators in the...
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Dynamic evolution of information diffusion networks of news agencies in emergencies: a case study of microblogs of urban fire disasters on Sina Weibo
Critical to information diffusion, influential news agencies can publicize emergencies on social media platforms, not only hel** to guide public...
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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...
