{"total":23,"rows":[{"id":"2409.05383","title":"Deep Learning for Video Anomaly Detection: A Review","created":"2024-09-09","cited_by_count":27,"area":null},{"id":"2102.10590","title":"Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM","created":"2021-02-21","cited_by_count":12,"area":null},{"id":"2209.03561","title":"Video Vision Transformers for Violence Detection","created":"2022-09-08","cited_by_count":8,"area":null},{"id":"2209.12074","title":"Self-supervised Learning for Unintentional Action Prediction","created":"2022-09-24","cited_by_count":7,"area":null},{"id":"2202.02212","title":"Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model","created":"2022-02-04","cited_by_count":6,"area":null},{"id":"2209.11680","title":"An Overview of Violence Detection Techniques: Current Challenges and Future Directions","created":"2022-09-21","cited_by_count":3,"area":null},{"id":"2205.11394","title":"Detection of Fights in Videos: A Comparison Study of Anomaly Detection and Action Recognition","created":"2022-05-23","cited_by_count":2,"area":null},{"id":"2207.12850","title":"SSIVD-Net: A Novel Salient Super Image Classification & Detection Technique for Weaponized Violence","created":"2022-07-26","cited_by_count":2,"area":null},{"id":"2211.05521","title":"Zero-shot Visual Commonsense Immorality Prediction","created":"2022-11-10","cited_by_count":2,"area":null},{"id":"2308.05106","title":"Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos: A Study of Neural Network Architectures","created":"2023-06-29","cited_by_count":2,"area":null},{"id":"2409.07588","title":"2D bidirectional gated recurrent unit convolutional Neural networks for end-to-end violence detection In videos","created":"2024-09-11","cited_by_count":2,"area":null},{"id":"2107.07578","title":"Real-Time Violence Detection Using CNN-LSTM","created":"2021-07-15","cited_by_count":1,"area":null},{"id":"2109.05695","title":"PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos","created":"2021-09-13","cited_by_count":1,"area":null},{"id":"2409.07581","title":"Violence detection in videos using deep recurrent and convolutional neural networks","created":"2024-09-11","cited_by_count":1,"area":null},{"id":"2504.00857","title":"Exploring Personalized Federated Learning Architectures for Violence Detection in Surveillance Videos","created":"2025-04-01","cited_by_count":1,"area":null},{"id":"2510.13630","title":"AVAR-Net: A Lightweight Audio-Visual Anomaly Recognition Framework with a Benchmark Dataset","created":"2025-10-15","cited_by_count":1,"area":null},{"id":"2111.08370","title":"Fight Detection from Still Images in the Wild","created":"2021-11-16","cited_by_count":0,"area":null},{"id":"2204.07443","title":"Detecting Violence in Video Based on Deep Features Fusion Technique","created":"2022-04-15","cited_by_count":0,"area":null},{"id":"2211.04255","title":"Two-stream Multi-dimensional Convolutional Network for Real-time Violence Detection","created":"2022-11-08","cited_by_count":0,"area":null},{"id":"2412.05386","title":"DIFEM: Key-points Interaction based Feature Extraction Module for Violence Recognition in Videos","created":"2024-12-06","cited_by_count":0,"area":null},{"id":"2503.19146","title":"Risk-Based Thresholding for Reliable Anomaly Detection in Concentrated Solar Power Plants","created":"2025-03-24","cited_by_count":0,"area":null},{"id":"2509.13210","title":"Vi-SAFE: A Spatial-Temporal Framework for Efficient Violence Detection in Public Surveillance","created":"2025-09-16","cited_by_count":0,"area":null},{"id":"2512.04943","title":"Towards Adaptive Fusion of Multimodal Deep Networks for Human Action Recognition","created":"2025-12-04","cited_by_count":0,"area":null}],"next_cursor":null}