Imagen de Portada

AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Alamgeer, Sana, Souissi, Yasine, Ngu, Anne H. H.
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Deep Hybrid Model for Region of Interest Detection in Omnidirectional Videos
por: Alamgeer, Sana, et al.
Publicado: (2025)

An Improved 3D Skeletons UP-Fall Dataset: Enhancing Data Quality for Efficient Impact Fall Detection
por: Koffi, Tresor Y., et al.
Publicado: (2025)

GenVideoLens: Where LVLMs Fall Short in AI-Generated Video Detection?
por: Zou, Yueying, et al.
Publicado: (2026)

When Preference Labels Fall Short: Aligning Diffusion Models from Real Data
por: Chen, Weiyan, et al.
Publicado: (2026)

Modeling Human Skeleton Joint Dynamics for Fall Detection
por: Zahan, Sania, et al.
Publicado: (2025)

Visual Context-Aware Person Fall Detection
por: Nagaj, Aleksander, et al.
Publicado: (2024)

ElderFallGuard: Real-Time IoT and Computer Vision-Based Fall Detection System for Elderly Safety
por: Riahi, Tasrifur, et al.
Publicado: (2025)

Audio Description Generation in the Era of LLMs and VLMs: A Review of Transferable Generative AI Technologies
por: Gao, Yingqiang, et al.
Publicado: (2024)

Responses Fall Short of Understanding: Revealing the Gap between Internal Representations and Responses in Visual Document Understanding
por: Kawasaki, Haruka, et al.
Publicado: (2026)

Personalized Fall Detection by Balancing Data with Selective Feedback Using Contrastive Learning
por: Yasmin, Awatif, et al.
Publicado: (2026)

Controlled Training Data Generation with Diffusion Models
por: Yeo, Teresa, et al.
Publicado: (2024)

TaFall: Balance-Informed Fall Detection via Passive Thermal Sensing
por: Li, Chengxiao, et al.
Publicado: (2026)

Fall Detection for Smart Living using YOLOv5
por: Pereira, Gracile Astlin
Publicado: (2024)

MiRAGeNews: Multimodal Realistic AI-Generated News Detection
por: Huang, Runsheng, et al.
Publicado: (2024)

The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks
por: Dinu, Anca, et al.
Publicado: (2026)

Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQA
por: Li, Zhuowan, et al.
Publicado: (2024)

Fall Detection for Industrial Setups Using YOLOv8 Variants
por: Pereira, Gracile Astlin
Publicado: (2024)

NAU-QMUL: Utilizing BERT and CLIP for Multi-modal AI-Generated Image Detection
por: Guo, Xiaoyu, et al.
Publicado: (2026)

Seeing the Poem: Image-Semantic Detection of AI-Generated Modern Chinese Poetry with MLLMs
por: Wang, Shanshan, et al.
Publicado: (2026)

EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs
por: Zhao, Xiangyu, et al.
Publicado: (2023)

ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data
por: Shen, Yufan, et al.
Publicado: (2024)

Not All Similarities Are Created Equal: Leveraging Data-Driven Biases to Inform GenAI Copyright Disputes
por: Hacohen, Uri, et al.
Publicado: (2024)

UniAIDet: A Unified and Universal Benchmark for AI-Generated Image Content Detection and Localization
por: Zhang, Huixuan, et al.
Publicado: (2025)

Decoder-Only LLMs are Better Controllers for Diffusion Models
por: Dong, Ziyi, et al.
Publicado: (2025)

FADE: A Dataset for Detecting Falling Objects around Buildings in Video
por: Tu, Zhigang, et al.
Publicado: (2024)

EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models
por: Tan, Zhiyu, et al.
Publicado: (2024)

CEIDM: A Controlled Entity and Interaction Diffusion Model for Enhanced Text-to-Image Generation
por: Yang, Mingyue, et al.
Publicado: (2025)

Human vs. AI: A Novel Benchmark and a Comparative Study on the Detection of Generated Images and the Impact of Prompts
por: Moeßner, Philipp, et al.
Publicado: (2024)

Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images
por: Naseh, Ali, et al.
Publicado: (2024)

Fall Detection from Indoor Videos using MediaPipe and Handcrafted Feature
por: Ahmed, Fatima, et al.
Publicado: (2025)

LLMPopcorn: Exploring LLMs as Assistants for Popular Micro-video Generation
por: Fu, Junchen, et al.
Publicado: (2025)

UIClip: A Data-driven Model for Assessing User Interface Design
por: Wu, Jason, et al.
Publicado: (2024)

Cutup and Detect: Human Fall Detection on Cutup Untrimmed Videos Using a Large Foundational Video Understanding Model
por: Grutschus, Till, et al.
Publicado: (2024)

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation
por: Sun, Jinghan, et al.
Publicado: (2024)

LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language Models
por: Wang, Chenglin, et al.
Publicado: (2026)

Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs
por: Fu, Xingyu, et al.
Publicado: (2025)

PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue
por: Vorontsov, Eugene, et al.
Publicado: (2025)

CTest-Metric: A Unified Framework to Assess Clinical Validity of Metrics for CT Report Generation
por: Sharma, Vanshali, et al.
Publicado: (2026)

Multimodal Event Detection: Current Approaches and Defining the New Playground through LLMs and VLMs
por: Dey, Abhishek, et al.
Publicado: (2025)

Seeing the Wind from a Falling Leaf
por: Gao, Zhiyuan, et al.
Publicado: (2025)