Cover Image

Reasoning-Guided Grounding: Elevating Video Anomaly Detection through Multimodal Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Agarwal, Sakshi, Konwer, Aishik, Shah, Ankit Parag
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis
by: Nagar, Aishik, et al.
Published: (2024)

Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models
by: Kim, Keuntae, et al.
Published: (2026)

Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection
by: Wang, Lei, et al.
Published: (2026)

Emergent Visual Grounding in Large Multimodal Models Without Grounding Supervision
by: Cao, Shengcao, et al.
Published: (2024)

VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models
by: Ye, Muchao, et al.
Published: (2024)

Knowledge-Guided Textual Reasoning for Explainable Video Anomaly Detection via LLMs
by: Lee, Hari
Published: (2025)

VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference
by: Agarwal, Sakshi, et al.
Published: (2024)

VIDEOP2R: Video Understanding from Perception to Reasoning
by: Jiang, Yifan, et al.
Published: (2025)

Adaptive Diagnostic Reasoning Framework for Pathology with Multimodal Large Language Models
by: Hong, Yunqi, et al.
Published: (2025)

Enhancing Weakly Supervised Multimodal Video Anomaly Detection through Text Guidance
by: Sun, Shengyang, et al.
Published: (2026)

EDVD-LLaMA: Explainable Deepfake Video Detection via Multimodal Large Language Model Reasoning
by: Sun, Haoran, et al.
Published: (2025)

Video Anomaly Detection with Structured Keywords
by: Foltz, Thomas
Published: (2025)

Towards Visual Text Grounding of Multimodal Large Language Model
by: Li, Ming, et al.
Published: (2025)

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models
by: Yao, Xincheng, et al.
Published: (2026)

MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
by: Jiang, Xi, et al.
Published: (2024)

KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models
by: Chen, Dong, et al.
Published: (2025)

Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation
by: Croitoru, Florinel-Alin, et al.
Published: (2022)

Reasoning Limitations of Multimodal Large Language Models. A Case Study of Bongard Problems
by: Małkiński, Mikołaj, et al.
Published: (2024)

LogTinyLLM: Tiny Large Language Models Based Contextual Log Anomaly Detection
by: Ocansey, Isaiah Thompson, et al.
Published: (2025)

Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
by: Ma, Chuofan, et al.
Published: (2024)

Advancing Egocentric Video Question Answering with Multimodal Large Language Models
by: Patel, Alkesh, et al.
Published: (2025)

Fill the GAP: A Granular Alignment Paradigm for Visual Reasoning in Multimodal Large Language Models
by: Miao, Yanting, et al.
Published: (2026)

Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models
by: Dong, Yuhao, et al.
Published: (2026)

A Structured Benchmark for Text-Guided Anomaly Detection: When Language Stops Conditioning the Decision
by: Samele, Stefano, et al.
Published: (2026)

Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
by: Wang, Haibo, et al.
Published: (2024)

Harnessing Vision-Language Models for Time Series Anomaly Detection
by: He, Zelin, et al.
Published: (2025)

Bridging Vision Language Models and Symbolic Grounding for Video Question Answering
by: Ma, Haodi, et al.
Published: (2025)

Grounding Video Models to Actions through Goal Conditioned Exploration
by: Luo, Yunhao, et al.
Published: (2024)

Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy
by: Pattnayak, Priyaranjan, et al.
Published: (2024)

JUDO: A Juxtaposed Domain-Oriented Multimodal Reasoner for Industrial Anomaly QA
by: Kang, Hyunju, et al.
Published: (2026)

Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection
by: Aqeel, Muhammad, et al.
Published: (2026)

SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models
by: Deng, Andong, et al.
Published: (2025)

Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach
by: Rai, Ayush K., et al.
Published: (2023)

Temporal Grounding of Activities using Multimodal Large Language Models
by: Song, Young Chol
Published: (2024)

Perception Tokens Enhance Visual Reasoning in Multimodal Language Models
by: Bigverdi, Mahtab, et al.
Published: (2024)

Large Language Model Guided Progressive Feature Alignment for Multimodal UAV Object Detection
by: Wu, Wentao, et al.
Published: (2025)

Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning
by: Liu, Huabin, et al.
Published: (2025)

ExpVG: Investigating the Design Space of Visual Grounding in Multimodal Large Language Model
by: Kang, Weitai, et al.
Published: (2025)

CrossVid: A Comprehensive Benchmark for Evaluating Cross-Video Reasoning in Multimodal Large Language Models
by: Li, Jingyao, et al.
Published: (2025)

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
by: Jeong, Hyeonho, et al.
Published: (2023)