Cover Image

Transformer-Based Framework for Motion Capture Denoising and Anomaly Detection in Medical Rehabilitation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cai, Yeming, Wang, Yang, Li, Zhenglin
Format:	Preprint
Published:	2025
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

Enhancing Breast Cancer Detection with Vision Transformers and Graph Neural Networks
by: Cai, Yeming, et al.
Published: (2025)

Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection
by: Song, Shixuan, et al.
Published: (2025)

Towards Continual Visual Anomaly Detection in the Medical Domain
by: Barusco, Manuel, et al.
Published: (2025)

Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model
by: Park, Sangjoon, et al.
Published: (2024)

RAIDX: A Retrieval-Augmented Generation and GRPO Reinforcement Learning Framework for Explainable Deepfake Detection
by: Li, Tianxiao, et al.
Published: (2025)

CADIC: Continual Anomaly Detection Based on Incremental Coreset
by: Yang, Gen, et al.
Published: (2025)

GV-VAD : Exploring Video Generation for Weakly-Supervised Video Anomaly Detection
by: Cai, Suhang, et al.
Published: (2025)

OpenMoCap: Rethinking Optical Motion Capture under Real-world Occlusion
by: Qian, Chen, et al.
Published: (2025)

Rethinking Metrics and Benchmarks of Video Anomaly Detection
by: Liu, Zihao, et al.
Published: (2025)

A Comprehensive Augmentation Framework for Anomaly Detection
by: Lin, Jiang, et al.
Published: (2023)

Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization
by: Wang, Yiming, et al.
Published: (2026)

No Need For Real Anomaly: MLLM Empowered Zero-Shot Video Anomaly Detection
by: Dai, Zunkai, et al.
Published: (2026)

Improved Anomaly Detection in Medical Images via Mean Shift Density Enhancement
by: Kar, Pritam, et al.
Published: (2026)

UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation
by: Wang, Ziyi, et al.
Published: (2026)

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
by: Fang, Gongfan, et al.
Published: (2024)

AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
by: Gao, Bin-Bin, et al.
Published: (2025)

Dual-Mode Deep Anomaly Detection for Medical Manufacturing: Structural Similarity and Feature Distance
by: Diaz, Julio Zanon, et al.
Published: (2025)

Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology
by: Zhang, Jingyu, et al.
Published: (2024)

Unsupervised Region-Based Image Editing of Denoising Diffusion Models
by: Li, Zixiang, et al.
Published: (2024)

HiProbe-VAD: Video Anomaly Detection via Hidden States Probing in Tuning-Free Multimodal LLMs
by: Cai, Zhaolin, et al.
Published: (2025)

Contrastive Language Prompting to Ease False Positives in Medical Anomaly Detection
by: Park, YeongHyeon, et al.
Published: (2024)

FMT:A Multimodal Pneumonia Detection Model Based on Stacking MOE Framework
by: Xu, Jingyu, et al.
Published: (2025)

ViP$^2$-CLIP: Visual-Perception Prompting with Unified Alignment for Zero-Shot Anomaly Detection
by: Yang, Ziteng, et al.
Published: (2025)

SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition
by: Huang, Wenbo, et al.
Published: (2024)

Normal-Abnormal Guided Generalist Anomaly Detection
by: Wang, Yuexin, et al.
Published: (2025)

Human-Centric Video Anomaly Detection Through Spatio-Temporal Pose Tokenization and Transformer
by: Noghre, Ghazal Alinezhad, et al.
Published: (2024)

Detecting Contextual Anomalies by Discovering Consistent Spatial Regions
by: Yang, Zhengye, et al.
Published: (2025)

Unsupervised Anomaly Detection in Brain MRI via Disentangled Anatomy Learning
by: Yang, Tao, et al.
Published: (2025)

AnomalyClaw: A Universal Visual Anomaly Detection Agent via Tool-Grounded Refutation
by: Jiang, Xi, et al.
Published: (2026)

One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning
by: Li, Jingtao, et al.
Published: (2023)

HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization
by: Mathian, E., et al.
Published: (2022)

Denoising Diffusion as a New Framework for Underwater Images
by: Jain, Nilesh, et al.
Published: (2025)

Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection
by: Barusco, Manuel, et al.
Published: (2025)

Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model
by: Wu, Peng, et al.
Published: (2023)

Generic Event Boundary Detection via Denoising Diffusion
by: Hwang, Jaejun, et al.
Published: (2025)

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
by: Wu, Jingqi, et al.
Published: (2025)

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos
by: Wang, Rongsheng, et al.
Published: (2025)

Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection
by: Chen, Qiyu, et al.
Published: (2024)

Is Hyperbolic Space All You Need for Medical Anomaly Detection?
by: Gonzalez-Jimenez, Alvaro, et al.
Published: (2025)

Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts
by: Wu, Peng, et al.
Published: (2024)