Cover Image

Leveraging Vision-Language Models to Detect Attention in Educational Videos

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Becquet, Gabriel, Lallé, Sébastien, Luengo, Vanda, Abou-Hassan, Ali
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Chat-Based Large Vision Language Models for Multimodal Out-Of-Context Detection
by: Shalabi, Fatma, et al.
Published: (2024)

Federated Learning for Video Violence Detection: Complementary Roles of Lightweight CNNs and Vision-Language Models for Energy-Efficient Use
by: Thuau, Sébastien, et al.
Published: (2025)

PAS : Prelim Attention Score for Detecting Object Hallucinations in Large Vision--Language Models
by: Hoang-Xuan, Nhat, et al.
Published: (2025)

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models
by: Zhang, Yudong, et al.
Published: (2024)

Large Vision-Language Models Get Lost in Attention
by: Xi, Gongli, et al.
Published: (2026)

Attention Prompting on Image for Large Vision-Language Models
by: Yu, Runpeng, et al.
Published: (2024)

TempGlitch: Evaluating Vision-Language Models for Temporal Glitch Detection in Gameplay Videos
by: Yu, Yakun, et al.
Published: (2026)

Unlocking Vision-Language Models for Video Anomaly Detection via Fine-Grained Prompting
by: Zou, Shu, et al.
Published: (2025)

Leveraging Vision-Language Models for Visual Grounding and Analysis of Automotive UI
by: Ernhofer, Benjamin Raphael, et al.
Published: (2025)

UlcerGPT: A Multimodal Approach Leveraging Large Language and Vision Models for Diabetic Foot Ulcer Image Transcription
by: Basiri, Reza, et al.
Published: (2024)

Beyond Boundaries: Leveraging Vision Foundation Models for Source-Free Object Detection
by: Yao, Huizai, et al.
Published: (2025)

Learning to Look: Cognitive Attention Alignment with Vision-Language Models
by: Yang, Ryan L., et al.
Published: (2025)

A-VL: Adaptive Attention for Large Vision-Language Models
by: Zhang, Junyang, et al.
Published: (2024)

Video-to-Text Pedestrian Monitoring (VTPM): Leveraging Computer Vision and Large Language Models for Privacy-Preserve Pedestrian Activity Monitoring at Intersections
by: Abdelrahman, Ahmed S., et al.
Published: (2024)

Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2024)

PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions
by: Zhang, Yudong, et al.
Published: (2024)

Beyond Attention Scores: SVD-Based Vision Token Pruning for Efficient Vision-Language Models
by: Apedo, Yvon, et al.
Published: (2026)

Attention Hijacking: Response Manipulation Across Queries in Vision-Language Models
by: Wang, Zhiqiang, et al.
Published: (2026)

Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models
by: Korkmaz, Cansu, et al.
Published: (2025)

Vision Language Model-based Caption Evaluation Method Leveraging Visual Context Extraction
by: Maeda, Koki, et al.
Published: (2024)

MVL-Loc: Leveraging Vision-Language Model for Generalizable Multi-Scene Camera Relocalization
by: Xiao, Zhendong, et al.
Published: (2025)

Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models
by: Yan, Hanqi, et al.
Published: (2025)

AVA: Towards Agentic Video Analytics with Vision Language Models
by: Yan, Yuxuan, et al.
Published: (2025)

From Captions to Rewards (CAREVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models
by: Dai, Muzhi, et al.
Published: (2025)

LAM3D: Leveraging Attention for Monocular 3D Object Detection
by: Sas, Diana-Alexandra, et al.
Published: (2024)

Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration
by: Zhu, Younan, et al.
Published: (2025)

CASA: Cross-Attention over Self-Attention for Efficient Vision-Language Fusion
by: Böhle, Moritz, et al.
Published: (2025)

CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modeling
by: Sarkar, Sayan Deb, et al.
Published: (2026)

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding
by: Clark, Christopher, et al.
Published: (2026)

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models
by: Sun, Fengyuan, et al.
Published: (2025)

LLaVA-SG: Leveraging Scene Graphs as Visual Semantic Expression in Vision-Language Models
by: Wang, Jingyi, et al.
Published: (2024)

VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance
by: Taesiri, Mohammad Reza, et al.
Published: (2025)

Fewer Tokens and Fewer Videos: Extending Video Understanding Abilities in Large Vision-Language Models
by: Chen, Shimin, et al.
Published: (2024)

Rethinking Causal Mask Attention for Vision-Language Inference
by: Pei, Xiaohuan, et al.
Published: (2025)

GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models
by: Liao, Haicheng, et al.
Published: (2023)

ClipGrader: Leveraging Vision-Language Models for Robust Label Quality Assessment in Object Detection
by: Lu, Hong, et al.
Published: (2025)

MAP: Mitigating Hallucinations in Large Vision-Language Models with Map-Level Attention Processing
by: Li, Chenxi, et al.
Published: (2025)

Attention-Guided Patch-Wise Sparse Adversarial Attacks on Vision-Language-Action Models
by: Zhang, Naifu, et al.
Published: (2025)

CAM-VFD: Cross-Attention Multimodal Video Forgery Detection
by: Elkhodary, Hoda Osama, et al.
Published: (2026)

UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces
by: Zhao, Baining, et al.
Published: (2025)