Image de couverture de livre

GridVAD: Open-Set Video Anomaly Detection via Spatial Reasoning over Stratified Frame Grids

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Eltahir, Mohamed, Ibrahim, Ahmed O., Siralkhatim, Obada, Abdallah, Tabarak, Mohamed, Sondos
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

GridProbe: Posterior-Probing for Adaptive Test-Time Compute in Long-Video VLMs
par: Eltahir, Mohamed, et autres
Publié: (2026)

ComplexVAD: Detecting Interaction Anomalies in Video
par: Mumcu, Furkan, et autres
Publié: (2025)

DUAL-VAD: Dual Benchmarks and Anomaly-Focused Sampling for Video Anomaly Detection
par: Jung, Seoik, et autres
Publié: (2025)

CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection
par: Lim, Hyeongmuk, et autres
Publié: (2026)

EventVAD: Training-Free Event-Aware Video Anomaly Detection
par: Shao, Yihua, et autres
Publié: (2025)

GV-VAD : Exploring Video Generation for Weakly-Supervised Video Anomaly Detection
par: Cai, Suhang, et autres
Publié: (2025)

SphereVAD: Training-Free Video Anomaly Detection via Geodesic Inference on the Unit Hypersphere
par: Huang, Chao, et autres
Publié: (2026)

Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM
par: Zhang, Huaxin, et autres
Publié: (2024)

GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection
par: Zhang, Huaxin, et autres
Publié: (2024)

RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection
par: Lee, Junhee, et autres
Publié: (2025)

HeadHunt-VAD: Hunting Robust Anomaly-Sensitive Heads in MLLM for Tuning-Free Video Anomaly Detection
par: Cai, Zhaolin, et autres
Publié: (2025)

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications
par: Zhu, Tao, et autres
Publié: (2025)

HyCoVAD: A Hybrid SSL-LLM Model for Complex Video Anomaly Detection
par: Hemmatyar, Mohammad Mahdi, et autres
Publié: (2025)

Bi-Grid Reconstruction for Image Anomaly Detection
par: Huang, Huichuan, et autres
Publié: (2025)

HiProbe-VAD: Video Anomaly Detection via Hidden States Probing in Tuning-Free Multimodal LLMs
par: Cai, Zhaolin, et autres
Publié: (2025)

SlowFastVAD: Video Anomaly Detection via Integrating Simple Detector and RAG-Enhanced Vision-Language Model
par: Ding, Zongcan, et autres
Publié: (2025)

VideoAtlas: Navigating Long-Form Video in Logarithmic Compute
par: Eltahir, Mohamed, et autres
Publié: (2026)

Grid Spatial Understanding: A Dataset for Textual Spatial Reasoning over Grids, Embodied Settings, and Coordinate Structures
par: Sidhu, Risham, et autres
Publié: (2026)

VAD4Space: Visual Anomaly Detection for Planetary Surface Imagery
par: Genilotti, Fabrizio, et autres
Publié: (2026)

Leveraging Digital Twin and Machine Learning Techniques for Anomaly Detection in Power Electronics Dominated Grid
par: Idrisov, Ildar N., et autres
Publié: (2025)

UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
par: Gu, Zhaopeng, et autres
Publié: (2024)

Open-Vocabulary Video Anomaly Detection
par: Wu, Peng, et autres
Publié: (2023)

AutoArabic: A Three-Stage Framework for Localizing Video-Text Retrieval Benchmarks
par: Eltahir, Mohamed, et autres
Publié: (2025)

Multimodal Lengthy Videos Retrieval Framework and Evaluation Metric
par: Eltahir, Mohamed, et autres
Publié: (2025)

Vote-in-Context: Turning VLMs into Zero-Shot Rank Fusers
par: Eltahir, Mohamed, et autres
Publié: (2025)

Real-Time On-the-Go Annotation Framework Using YOLO for Automated Dataset Generation
par: Salem, Mohamed Abdallah, et autres
Publié: (2025)

Grid-LOGAT: Grid Based Local and Global Area Transcription for Video Question Answering
par: Chowdhury, Md Intisar, et autres
Publié: (2025)

StreamSTGS: Streaming Spatial and Temporal Gaussian Grids for Real-Time Free-Viewpoint Video
par: Ke, Zhihui, et autres
Publié: (2025)

Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
par: Hou, Chengkai, et autres
Publié: (2024)

Grid Diffusion Models for Text-to-Video Generation
par: Lee, Taegyeong, et autres
Publié: (2024)

A Data Efficiency Study of Synthetic Fog for Object Detection Using the Clear2Fog Pipeline
par: Mohamed, Mohamed Ahmed, et autres
Publié: (2026)

From Frames to Events: Rethinking Evaluation in Human-Centric Video Anomaly Detection
par: Rashvand, Narges, et autres
Publié: (2026)

The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey
par: Abdi, Nima, et autres
Publié: (2024)

FrameMind: Frame-Interleaved Video Reasoning via Reinforcement Learning
par: Ge, Haonan, et autres
Publié: (2025)

Anomize: Better Open Vocabulary Video Anomaly Detection
par: Li, Fei, et autres
Publié: (2025)

Enhancing Visual Token Representations for Video Large Language Models via Training-Free Spatial-Temporal Pooling and Gridding
par: Luo, Bingjun, et autres
Publié: (2026)

Towards a Safer and Sustainable Manufacturing Process: Material classification in Laser Cutting Using Deep Learning
par: Salem, Mohamed Abdallah, et autres
Publié: (2025)

Artificial intelligence approaches for energy-efficient laser cutting machines
par: Salem, Mohamed Abdallah, et autres
Publié: (2025)

Qffusion: Controllable Portrait Video Editing via Quadrant-Grid Attention Learning
par: Li, Maomao, et autres
Publié: (2025)

Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning
par: Ghazanfari, Sara, et autres
Publié: (2025)