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Future Frame Prediction Network for Video Anomaly Detection

https://doi.org/10.1109/tpami.2021.3129349

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Human Detection Using Oriented Histograms of Flow and Appearance

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Learning to Learn Using Gradient Descent

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Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World

inferredcites →https://doi.org/10.1007/978-3-030-01240-3_25openalex-snapshot

Learning Human-Object Interactions by Graph Parsing Neural Networks

inferredcites →https://doi.org/10.1007/978-3-030-01246-5_21openalex-snapshot

Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation

inferredcites →https://doi.org/10.1007/978-3-030-01246-5_41openalex-snapshot

Graph R-CNN for Scene Graph Generation

inferredcites →https://doi.org/10.1007/978-3-030-01252-6_20openalex-snapshot

Actor-Centric Relation Network

inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot

U-Net: Convolutional Networks for Biomedical Image Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-46454-1_21openalex-snapshot

A Discriminative Framework for Anomaly Detection in Large Videos

inferredcites →https://doi.org/10.1007/978-3-319-46475-6_7openalex-snapshot

Playing for Data: Ground Truth from Computer Games

inferredcites →https://doi.org/10.1007/978-3-319-59081-3_23openalex-snapshot

Abnormal Event Detection in Videos Using Spatiotemporal Autoencoder

inferredcites →https://doi.org/10.1007/s11263-015-0859-0openalex-snapshot

MoFAP: A Multi-level Representation for Action Recognition

inferredcites →https://doi.org/10.1016/j.imavis.2010.11.003openalex-snapshot

Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance

inferredcites →https://doi.org/10.1109/32.372146openalex-snapshot

State transition analysis: a rule-based intrusion detection approach

inferredcites →https://doi.org/10.1109/49.339929openalex-snapshot

Markov monitoring with unknown states

inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot

Histograms of Oriented Gradients for Human Detection

inferredcites →https://doi.org/10.1109/cvpr.2005.316openalex-snapshot

Semi-Supervised Adapted HMMs for Unusual Event Detection

inferredcites →https://doi.org/10.1109/cvpr.2009.5206569openalex-snapshot

Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates

inferredcites →https://doi.org/10.1109/cvpr.2010.5539872openalex-snapshot

Anomaly detection in crowded scenes

inferredcites →https://doi.org/10.1109/cvpr.2010.5539882openalex-snapshot

Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes

inferredcites →https://doi.org/10.1109/cvpr.2010.5540235openalex-snapshot

Modeling mutual context of object and human pose in human-object interaction activities

inferredcites →https://doi.org/10.1109/cvpr.2011.5995434openalex-snapshot

Sparse reconstruction cost for abnormal event detection

inferredcites →https://doi.org/10.1109/cvpr.2011.5995524openalex-snapshot

Online detection of unusual events in videos via dynamic sparse coding

inferredcites →https://doi.org/10.1109/cvpr.2015.7298990openalex-snapshot

Image retrieval using scene graphs

inferredcites →https://doi.org/10.1109/cvpr.2016.116openalex-snapshot

Progressively Parsing Interactional Objects for Fine Grained Action Detection

inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-snapshot

The Cityscapes Dataset for Semantic Urban Scene Understanding

inferredcites →https://doi.org/10.1109/cvpr.2016.86openalex-snapshot

Learning Temporal Regularity in Video Sequences

inferredcites →https://doi.org/10.1109/cvpr.2017.330openalex-snapshot

Scene Graph Generation by Iterative Message Passing

inferredcites →https://doi.org/10.1109/cvpr.2017.331openalex-snapshot

Visual Translation Embedding Network for Visual Relation Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.352openalex-snapshot

Detecting Visual Relationships with Deep Relational Networks

inferredcites →https://doi.org/10.1109/cvpr.2017.469openalex-snapshot

Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.470openalex-snapshot

Modeling Relationships in Referential Expressions with Compositional Modular Networks

inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot

Image-to-Image Translation with Conditional Adversarial Networks

inferredcites →https://doi.org/10.1109/cvpr.2018.00378openalex-snapshot

Relation Networks for Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00553openalex-snapshot

Encoding Crowd Interaction with Deep Neural Network for Pedestrian Trajectory Prediction

inferredcites →https://doi.org/10.1109/cvpr.2018.00678openalex-snapshot

Real-World Anomaly Detection in Surveillance Videos

inferredcites →https://doi.org/10.1109/cvpr.2018.00684openalex-snapshot

Future Frame Prediction for Anomaly Detection - A New Baseline

inferredcites →https://doi.org/10.1109/cvpr.2018.00710openalex-snapshot

Attend and Interact: Higher-Order Object Interactions for Video Understanding

inferredcites →https://doi.org/10.1109/cvpr.2018.00813openalex-snapshot

Non-local Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2019.00057openalex-snapshot

Latent Space Autoregression for Novelty Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.00191openalex-snapshot

Predicting Future Frames Using Retrospective Cycle GAN

inferredcites →https://doi.org/10.1109/cvpr.2019.00192openalex-snapshot

Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization

inferredcites →https://doi.org/10.1109/cvpr.2019.01227openalex-snapshot

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos

inferredcites →https://doi.org/10.1109/iccv.2013.338openalex-snapshot

Abnormal Event Detection at 150 FPS in MATLAB

inferredcites →https://doi.org/10.1109/iccv.2015.284openalex-snapshot

Actions and Attributes from Wholes and Parts

inferredcites →https://doi.org/10.1109/iccv.2015.316openalex-snapshot

FlowNet: Learning Optical Flow with Convolutional Networks

inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot

Learning Spatiotemporal Features with 3D Convolutional Networks

inferredcites →https://doi.org/10.1109/iccv.2017.142openalex-snapshot

Scene Graph Generation from Objects, Phrases and Region Captions

inferredcites →https://doi.org/10.1109/iccv.2017.304openalex-snapshot

Least Squares Generative Adversarial Networks

inferredcites →https://doi.org/10.1109/iccv.2017.315openalex-snapshot

Unmasking the Abnormal Events in Video

inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot

Mask R-CNN

inferredcites →https://doi.org/10.1109/iccv.2017.391openalex-snapshot

Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge

inferredcites →https://doi.org/10.1109/iccv.2017.45openalex-snapshot

A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework

inferredcites →https://doi.org/10.1109/iccv.2019.00136openalex-snapshot

Anomaly Detection in Video Sequence With Appearance-Motion Correspondence

inferredcites →https://doi.org/10.1109/iccv.2019.00179openalex-snapshot

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

inferredcites →https://doi.org/10.1109/icdm.2002.1183991openalex-snapshot

Predicting rare events in temporal domains

inferredcites →https://doi.org/10.1109/icme.2017.8019325openalex-snapshot

Remembering history with convolutional LSTM for anomaly detection

inferredcites →https://doi.org/10.1109/pets.2013.6523794openalex-snapshot

Histograms of optical flow orientation for abnormal events detection

inferredcites →https://doi.org/10.1109/tcsvt.2019.2962229openalex-snapshot

Attention-Driven Loss for Anomaly Detection in Video Surveillance

inferredcites →https://doi.org/10.1109/tip.2019.2948286openalex-snapshot

BMAN: Bidirectional Multi-Scale Aggregation Networks for Abnormal Event Detection

inferredcites →https://doi.org/10.1109/tpami.2007.70825openalex-snapshot

Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors

inferredcites →https://doi.org/10.1109/tpami.2009.83openalex-snapshot

Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition

inferredcites →https://doi.org/10.1109/tpami.2012.67openalex-snapshot

Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses

inferredcites →https://doi.org/10.1109/tpami.2019.2944377openalex-snapshot

Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks

inferredcites →https://doi.org/10.1109/wacv.2018.00048openalex-snapshot

Learning to Detect Human-Object Interactions

inferredcites →https://doi.org/10.1145/1541880.1541882openalex-snapshot

Anomaly detection

inferredcites →https://doi.org/10.1145/3126686.3126737openalex-snapshot

Video Imagination from a Single Image with Transformation Generation

inferredcites →https://doi.org/10.1145/3343031.3350899openalex-snapshot

AnoPCN

inferredcites →https://doi.org/10.1145/3372278.3390701openalex-snapshot

Anomaly Detection in Traffic Surveillance Videos with GAN-based Future Frame Prediction

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.14711/thesis-991012636368103412openalex-snapshot

An adversarial approach to few-shot learning

inferredcites →https://doi.org/10.24963/ijcai.2019/419openalex-snapshot

Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies

inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot

Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

inferredcites →https://doi.org/10.48550/arxiv.1406.2661openalex-snapshot

Generative Adversarial Networks

inferredcites →https://doi.org/10.48550/arxiv.1603.04467openalex-snapshot

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

inferredcites →https://doi.org/10.48550/arxiv.1701.08435openalex-snapshot

Transformation-Based Models of Video Sequences

inferredcites →https://doi.org/10.48550/arxiv.1703.03129openalex-snapshot

Learning to Remember Rare Events

inferredcites →https://doi.org/10.48550/arxiv.1801.01726openalex-snapshot

Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption

inferredcites →https://doi.org/10.5244/c.29.8openalex-snapshot

Learning Deep Representations of Appearance and Motion for Anomalous Event Detection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Cross-Modality Integration Framework for Anomaly Detection in Surveillance Videos

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Future Video Prediction from a Single Frame for Video Anomaly Detection

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MDVAD: Multimodal Diffusion for Video Anomaly Detection

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Dual contrast discriminator with sharing attention for video anomaly detection

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Future frame prediction based on generative assistant discriminative network for anomaly detection

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C$$^{2}$$Net: content-dependent and -independent cross-attention network for anomaly detection in videos

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Spatio-temporal video anomaly detection via CNN-ViT autoencoder and farneback optical flow

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A critical study on the recent deep learning based semi-supervised video anomaly detection methods

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Grey-adversary perceptual network for anomaly detection

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Memory-guided diffusion framework for pose-based Video Anomaly Detection

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Transfer Learning for Online Prediction of Virtual Reality Cloud Gaming Traffic

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Contextual Clue Mining and Class Calibration for Weakly Supervised Video Anomaly Detection

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ResLearn: Transformer-Based Residual Learning for Metaverse Network Traffic Prediction

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Feature Prediction Diffusion Model for Video Anomaly Detection

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HECL-VAD: A Video Anomaly Detection Method Based on Hard and Easy Sample Contrastive Learning

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Video Anomaly Detection

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Video Anomaly Detection via Motion Completion Diffusion for Intelligent Surveillance System

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Pseudo-Siamese Neural Network for Bed-Exit Detection With Low-Resolution Sensors

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Online Neyman-Pearson Classification With Hierarchically Represented Models

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Associative Memory With Spatio-Temporal Enhancement for Video Anomaly Detection

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Retrieving and Reasoning: Multivariate Feature and Attribute Cooperation for Video Anomaly Detection

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Anomaly Detection by Predicting Future Frames using Convolutional LSTM in Video Surveillance

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Privacy-Preserving Edge AI Security Architecture for Consumer Electronics in Cultural Heritage Environments

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A Two-Stage Framework With Memory for Anomaly Detection via Video Decomposition and Bidirectional Consistency

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3602841openalex-snapshot

Aligning Normal Representations in Diffusion Model for Video Anomaly Detection

inferred← citeshttps://doi.org/10.1109/tetci.2026.3657946openalex-snapshot

Multi-Perceptual Framework for Anomaly Detection

inferred← citeshttps://doi.org/10.1109/tifs.2022.3216479openalex-snapshot

Decouple and Resolve: Transformer-Based Models for Online Anomaly Detection From Weakly Labeled Videos

inferred← citeshttps://doi.org/10.1109/tifs.2024.3423388openalex-snapshot

Detecting and Quantifying Crowd-Level Abnormal Behaviors in Crowd Events

inferred← citeshttps://doi.org/10.1109/tii.2023.3298476openalex-snapshot

AMP-Net: Appearance-Motion Prototype Network Assisted Automatic Video Anomaly Detection System

inferred← citeshttps://doi.org/10.1109/tii.2024.3493390openalex-snapshot

Multiscale Recovery Diffusion Model With Unsupervised Learning for Video Anomaly Detection System

inferred← citeshttps://doi.org/10.1109/tip.2024.3372466openalex-snapshot

Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection

inferred← citeshttps://doi.org/10.1109/tip.2024.3477351openalex-snapshot

Injecting Text Clues for Improving Anomalous Event Detection From Weakly Labeled Videos

inferred← citeshttps://doi.org/10.1109/tits.2024.3435481openalex-snapshot

Latency-Free Driving Scene Prediction for On-Road Teledriving With Future-Image-Generation

inferred← citeshttps://doi.org/10.1109/tmm.2023.3292596openalex-snapshot

DSS-Net: Dynamic Self-Supervised Network for Video Anomaly Detection

inferred← citeshttps://doi.org/10.1109/tmm.2025.3607837openalex-snapshot

Anomaly-Led Prompting Learning Caption Generating Model and Benchmark

inferred← citeshttps://doi.org/10.1109/tmm.2025.3613082openalex-snapshot

DCTFormer: A Dual-Branch Transformer With Cloze Tests for Video Anomaly Detection

inferred← citeshttps://doi.org/10.1109/tmm.2026.3668562openalex-snapshot

Learning Local Semantic Signals and Inter-Class Discrepancy for Weakly Supervised Video Anomaly Detection

inferred← citeshttps://doi.org/10.1109/tnnls.2023.3263966openalex-snapshot

Distilling Privileged Knowledge for Anomalous Event Detection From Weakly Labeled Videos

inferred← citeshttps://doi.org/10.1109/tnnls.2024.3465446openalex-snapshot

Few-Shot Anomaly Detection via Category-Agnostic Registration Learning

inferred← citeshttps://doi.org/10.1109/tnnls.2025.3600252openalex-snapshot

Privacy-Preserving Video Anomaly Detection: A Survey

inferred← citeshttps://doi.org/10.1109/tnnls.2025.3647892openalex-snapshot

Deep Learning for Video Anomaly Detection: A Review

inferred← citeshttps://doi.org/10.1109/tpami.2024.3461718openalex-snapshot

Scene-Dependent Prediction in Latent Space for Video Anomaly Detection and Anticipation

inferred← citeshttps://doi.org/10.1109/tpami.2025.3528738openalex-snapshot

Clarify Confused Nodes via Separated Learning

inferred← citeshttps://doi.org/10.1109/tpami.2025.3617460openalex-snapshot

PiercingEye: Dual-Space Video Violence Detection With Hyperbolic Vision-Language Guidance

inferred← citeshttps://doi.org/10.1117/1.jei.33.5.053006openalex-snapshot

Video anomaly detection based on frame memory bank and decoupled asymmetric convolutions

inferred← citeshttps://doi.org/10.1142/s0219691324500127openalex-snapshot

Optimal object stitching and video condensation-aided improved YOLOv5-oriented anomaly object detection framework

inferred← citeshttps://doi.org/10.1145/3503161.3548091openalex-snapshot

Evidential Reasoning for Video Anomaly Detection

inferred← citeshttps://doi.org/10.1145/3503161.3548369openalex-snapshot

Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection

inferred← citeshttps://doi.org/10.1145/3645101openalex-snapshot

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models

inferred← citeshttps://doi.org/10.1145/3662185openalex-snapshot

EOGT: Video Anomaly Detection with Enhanced Object Information and Global Temporal Dependency

inferred← citeshttps://doi.org/10.1145/3729222openalex-snapshot

Networking Systems for Video Anomaly Detection: A Tutorial and Survey

inferred← citeshttps://doi.org/10.1145/3805622.3810815openalex-snapshot

Efficient Video Anomaly Detection for Edge Devices via Background Feature Caching

inferred← citeshttps://doi.org/10.14569/ijacsa.2024.01503129openalex-snapshot

Video-based Domain Generalization for Abnormal Event and Behavior Detection

inferred← citeshttps://doi.org/10.1609/aaai.v37i2.25334openalex-snapshot

Learning Event-Relevant Factors for Video Anomaly Detection

inferred← citeshttps://doi.org/10.21203/rs.3.rs-9502784/v1openalex-snapshot

Dual-Branch Collaborative Framework for Robust Visual Anomaly Detection in Mobile Robot Inspection

inferred← citeshttps://doi.org/10.2139/ssrn.4862337openalex-snapshot

A Semi-Supervised Multiscale Generalized-Vae Framework for One-Class Classification

inferred← citeshttps://doi.org/10.2139/ssrn.6177803openalex-snapshot

SimAdaM: A Non-Contrastive Training Framework to Improve Robust Representation for Video Anomaly Detection

inferred← citeshttps://doi.org/10.2139/ssrn.7578372openalex-snapshot

SlowFastVAD: Video Anomaly Detection via Integrating Fast Detector and RAG-Enhanced Vision-Language Model

inferred← citeshttps://doi.org/10.3103/s1060992x26700086openalex-snapshot

Anomaly Detection in Surveillance Video: An Unsupervised Unity Encoder Approach

inferred← citeshttps://doi.org/10.32388/0n1ebcopenalex-snapshot

Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes

inferred← citeshttps://doi.org/10.3390/electronics15061199openalex-snapshot

Video Anomaly Detection Through Spatial–Temporal Feature Relocalization and Calibrated Trajectory Modeling

inferred← citeshttps://doi.org/10.3390/s23031307openalex-snapshot

Region Anomaly Detection via Spatial and Semantic Attributed Graph in Human Monitoring

inferred← citeshttps://doi.org/10.3390/sym16081003openalex-snapshot

YOLO-ABD: A Multi-Scale Detection Model for Pedestrian Anomaly Behavior Detection

inferred← citeshttps://doi.org/10.4018/979-8-3373-0746-6.ch005openalex-snapshot

Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes

inferred← citeshttps://doi.org/10.4218/etrij.2024-0115openalex-snapshot

AONet: Attention network with optional activation for unsupervised video anomaly detection

inferred← citeshttps://doi.org/10.5753/wvc.2024.34006openalex-snapshot

Anomaly Detection in Television Digital Channel

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