Saved in:
| Main Authors: | Yao, Shanle, Noghre, Ghazal Alinezhad, Pazho, Armin Danesh, Tabkhi, Hamed |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.18747 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ALFred: An Active Learning Framework for Real-world Semi-supervised Anomaly Detection with Adaptive Thresholds
by: Yao, Shanle, et al.
Published: (2025)
by: Yao, Shanle, et al.
Published: (2025)
A Survey on Video Anomaly Detection via Deep Learning: Human, Vehicle, and Environment
by: Noghre, Ghazal Alinezhad, et al.
Published: (2025)
by: Noghre, Ghazal Alinezhad, et al.
Published: (2025)
Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark
by: Rashvand, Narges, et al.
Published: (2025)
by: Rashvand, Narges, et al.
Published: (2025)
Human-Centric Video Anomaly Detection Through Spatio-Temporal Pose Tokenization and Transformer
by: Noghre, Ghazal Alinezhad, et al.
Published: (2024)
by: Noghre, Ghazal Alinezhad, et al.
Published: (2024)
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction
by: Noghre, Ghazal Alinezhad, et al.
Published: (2024)
by: Noghre, Ghazal Alinezhad, et al.
Published: (2024)
Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark
by: Pazho, Armin Danesh, et al.
Published: (2024)
by: Pazho, Armin Danesh, et al.
Published: (2024)
From Lab to Field: Real-World Evaluation of an AI-Driven Smart Video Solution to Enhance Community Safety
by: Yao, Shanle, et al.
Published: (2023)
by: Yao, Shanle, et al.
Published: (2023)
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer
by: Pazho, Armin Danesh, et al.
Published: (2023)
by: Pazho, Armin Danesh, et al.
Published: (2023)
Are Multimodal LLMs Ready for Surveillance? A Reality Check on Zero-Shot Anomaly Detection in the Wild
by: Yao, Shanle, et al.
Published: (2026)
by: Yao, Shanle, et al.
Published: (2026)
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation
by: Maldonado, Gabriel, et al.
Published: (2025)
by: Maldonado, Gabriel, et al.
Published: (2025)
Shopformer: Transformer-Based Framework for Detecting Shoplifting via Human Pose
by: Rashvand, Narges, et al.
Published: (2025)
by: Rashvand, Narges, et al.
Published: (2025)
MoFM: A Large-Scale Human Motion Foundation Model
by: Baharani, Mohammadreza, et al.
Published: (2025)
by: Baharani, Mohammadreza, et al.
Published: (2025)
From Frames to Events: Rethinking Evaluation in Human-Centric Video Anomaly Detection
by: Rashvand, Narges, et al.
Published: (2026)
by: Rashvand, Narges, et al.
Published: (2026)
Adversarially-Refined VQ-GAN with Dense Motion Tokenization for Spatio-Temporal Heatmaps
by: Maldonado, Gabriel, et al.
Published: (2025)
by: Maldonado, Gabriel, et al.
Published: (2025)
From Offline to Periodic Adaptation for Pose-Based Shoplifting Detection in Real-world Retail Security
by: Yao, Shanle, et al.
Published: (2026)
by: Yao, Shanle, et al.
Published: (2026)
Anatomy-Aware Unsupervised Detection and Localization of Retinal Abnormalities in Optical Coherence Tomography
by: Haghighi, Tania, et al.
Published: (2026)
by: Haghighi, Tania, et al.
Published: (2026)
EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications
by: Kim, Seungjin, et al.
Published: (2026)
by: Kim, Seungjin, et al.
Published: (2026)
VideoWorld 2: Learning Transferable Knowledge from Real-world Videos
by: Ren, Zhongwei, et al.
Published: (2026)
by: Ren, Zhongwei, et al.
Published: (2026)
OCT-SelfNet: A Self-Supervised Framework with Multi-Modal Datasets for Generalized and Robust Retinal Disease Detection
by: Jannat, Fatema-E, et al.
Published: (2024)
by: Jannat, Fatema-E, et al.
Published: (2024)
Online Anomaly Detection over Live Social Video Streaming
by: He, Chengkun, et al.
Published: (2023)
by: He, Chengkun, et al.
Published: (2023)
Language-guided Open-world Video Anomaly Detection under Weak Supervision
by: Liu, Zihao, et al.
Published: (2025)
by: Liu, Zihao, et al.
Published: (2025)
VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection
by: Ahn, Sunghyun, et al.
Published: (2024)
by: Ahn, Sunghyun, et al.
Published: (2024)
Real-Time Anomaly Detection in Video Streams
by: Poirier, Fabien
Published: (2024)
by: Poirier, Fabien
Published: (2024)
AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis
by: Yang, Zhiwei, et al.
Published: (2025)
by: Yang, Zhiwei, et al.
Published: (2025)
Watch and Learn: Leveraging Expert Knowledge and Language for Surgical Video Understanding
by: Gastager, David, et al.
Published: (2025)
by: Gastager, David, et al.
Published: (2025)
Learning a Particle Dynamics Model with Real-world Videos
by: Kim, Chanho, et al.
Published: (2026)
by: Kim, Chanho, et al.
Published: (2026)
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
by: Tao, Chenchen, et al.
Published: (2024)
by: Tao, Chenchen, et al.
Published: (2024)
No Need For Real Anomaly: MLLM Empowered Zero-Shot Video Anomaly Detection
by: Dai, Zunkai, et al.
Published: (2026)
by: Dai, Zunkai, et al.
Published: (2026)
GenWorld: Towards Detecting AI-generated Real-world Simulation Videos
by: Chen, Weiliang, et al.
Published: (2025)
by: Chen, Weiliang, et al.
Published: (2025)
Flashback: Memory-Driven Zero-shot, Real-time Video Anomaly Detection
by: Lee, Hyogun, et al.
Published: (2025)
by: Lee, Hyogun, et al.
Published: (2025)
MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection
by: Yang, Shengtian, et al.
Published: (2025)
by: Yang, Shengtian, et al.
Published: (2025)
Intelligent CCTV for Urban Design: AI-Based Analysis of Soft Infrastructure at Intersections
by: Katariya, Vinit, et al.
Published: (2026)
by: Katariya, Vinit, et al.
Published: (2026)
Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classification
by: Jannat, Fatema-E-, et al.
Published: (2024)
by: Jannat, Fatema-E-, et al.
Published: (2024)
Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios
by: Li, Chunxiao, et al.
Published: (2025)
by: Li, Chunxiao, et al.
Published: (2025)
Enhancing Evaluation Methods for Infrared Small-Target Detection in Real-world Scenarios
by: Moradi, Saed, et al.
Published: (2023)
by: Moradi, Saed, et al.
Published: (2023)
Hybrid Architecture for Real-Time Video Anomaly Detection: Integrating Spatial and Temporal Analysis
by: Poirier, Fabien
Published: (2024)
by: Poirier, Fabien
Published: (2024)
SURGIVID: Annotation-Efficient Surgical Video Object Discovery
by: Köksal, Çağhan, et al.
Published: (2024)
by: Köksal, Çağhan, et al.
Published: (2024)
SphereVAD: Training-Free Video Anomaly Detection via Geodesic Inference on the Unit Hypersphere
by: Huang, Chao, et al.
Published: (2026)
by: Huang, Chao, et al.
Published: (2026)
Few-shot Online Anomaly Detection and Segmentation
by: Wei, Shenxing, et al.
Published: (2024)
by: Wei, Shenxing, et al.
Published: (2024)
Cross-Domain Learning for Video Anomaly Detection with Limited Supervision
by: Jain, Yashika, et al.
Published: (2024)
by: Jain, Yashika, et al.
Published: (2024)
Similar Items
-
ALFred: An Active Learning Framework for Real-world Semi-supervised Anomaly Detection with Adaptive Thresholds
by: Yao, Shanle, et al.
Published: (2025) -
A Survey on Video Anomaly Detection via Deep Learning: Human, Vehicle, and Environment
by: Noghre, Ghazal Alinezhad, et al.
Published: (2025) -
Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark
by: Rashvand, Narges, et al.
Published: (2025) -
Human-Centric Video Anomaly Detection Through Spatio-Temporal Pose Tokenization and Transformer
by: Noghre, Ghazal Alinezhad, et al.
Published: (2024) -
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction
by: Noghre, Ghazal Alinezhad, et al.
Published: (2024)