Copertina

Generative Model-Based Feature Attention Module for Video Action Analysis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Guiqin, Zhao, Peng, Zhao, Cong, Huang, Jing, Guo, Siyan, Yang, Shusen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift
di: Zhao, Peng, et al.
Pubblicazione: (2024)

LaVi: Efficient Large Vision-Language Models via Internal Feature Modulation
di: Yue, Tongtian, et al.
Pubblicazione: (2025)

EdgeSync: Accelerating Edge-Model Updates for Data Drift through Adaptive Continuous Learning
di: Donga, Runchu, et al.
Pubblicazione: (2025)

ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding
di: Wang, Yubin, et al.
Pubblicazione: (2024)

PreciseCache: Precise Feature Caching for Efficient and High-fidelity Video Generation
di: Wang, Jiangshan, et al.
Pubblicazione: (2026)

Action-Guided Attention for Video Action Anticipation
di: Tai, Tsung-Ming, et al.
Pubblicazione: (2026)

EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation
di: Wang, Xiaofeng, et al.
Pubblicazione: (2024)

Precise Action-to-Video Generation Through Visual Action Prompts
di: Wang, Yuang, et al.
Pubblicazione: (2025)

Accelerating Inference of Masked Image Generators via Reinforcement Learning
di: Subbaraman, Pranav, et al.
Pubblicazione: (2025)

FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation
di: Wang, Huihan, et al.
Pubblicazione: (2025)

Predicting Video Slot Attention Queries from Random Slot-Feature Pairs
di: Zhao, Rongzhen, et al.
Pubblicazione: (2025)

VideoGrain: Modulating Space-Time Attention for Multi-grained Video Editing
di: Yang, Xiangpeng, et al.
Pubblicazione: (2025)

Foundation Model for Skeleton-Based Human Action Understanding
di: Wang, Hongsong, et al.
Pubblicazione: (2025)

A CT Image Denoising Method Based on Projection Domain Feature
di: Sun, Mengyu, et al.
Pubblicazione: (2024)

Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism
di: Zheng, Jun, et al.
Pubblicazione: (2024)

From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation
di: Li, Bohan, et al.
Pubblicazione: (2026)

Understanding Attention Mechanism in Video Diffusion Models
di: Liu, Bingyan, et al.
Pubblicazione: (2025)

Real-Time Video Generation with Pyramid Attention Broadcast
di: Zhao, Xuanlei, et al.
Pubblicazione: (2024)

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models
di: Zhu, Shangwen, et al.
Pubblicazione: (2026)

Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition
di: Guo, Hanyu, et al.
Pubblicazione: (2024)

D3: Training-Free AI-Generated Video Detection Using Second-Order Features
di: Zheng, Chende, et al.
Pubblicazione: (2025)

ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models
di: Xue, Haotian, et al.
Pubblicazione: (2026)

Multi-Level LVLM Guidance for Untrimmed Video Action Recognition
di: Peng, Liyang, et al.
Pubblicazione: (2025)

Action Images: End-to-End Policy Learning via Multiview Video Generation
di: Zhen, Haoyu, et al.
Pubblicazione: (2026)

ARINAR: Bi-Level Autoregressive Feature-by-Feature Generative Models
di: Zhao, Qinyu, et al.
Pubblicazione: (2025)

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos
di: Wang, Xiaodong, et al.
Pubblicazione: (2025)

V-ReasonBench: Toward Unified Reasoning Benchmark Suite for Video Generation Models
di: Luo, Yang, et al.
Pubblicazione: (2025)

EasyControl: Transfer ControlNet to Video Diffusion for Controllable Generation and Interpolation
di: Wang, Cong, et al.
Pubblicazione: (2024)

Matten: Video Generation with Mamba-Attention
di: Gao, Yu, et al.
Pubblicazione: (2024)

Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection
di: Lyu, Jiahao, et al.
Pubblicazione: (2024)

Repetitive Action Counting with Hybrid Temporal Relation Modeling
di: Li, Kun, et al.
Pubblicazione: (2024)

Adapting Short-Term Transformers for Action Detection in Untrimmed Videos
di: Yang, Min, et al.
Pubblicazione: (2023)

A Large-Scale Study on Video Action Dataset Condensation
di: Chen, Yang, et al.
Pubblicazione: (2024)

Adaptive Slicing-Assisted Hyper Inference for Enhanced Small Object Detection in High-Resolution Imagery
di: Moretti, Francesco, et al.
Pubblicazione: (2026)

Efficient Video Object Segmentation via Modulated Cross-Attention Memory
di: Shaker, Abdelrahman, et al.
Pubblicazione: (2024)

HAM: A Training-Free Style Transfer Approach via Heterogeneous Attention Modulation for Diffusion Models
di: He, Yeqi, et al.
Pubblicazione: (2026)

Hierarchical Graph Feature Enhancement with Adaptive Frequency Modulation for Visual Recognition
di: Zhao, Feiyue, et al.
Pubblicazione: (2025)

CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
di: Wang, Zhao, et al.
Pubblicazione: (2024)

FDIM: A Feature-distance-based Generic Video Quality Metric for Versatile Codecs
di: Wang, Jiayi, et al.
Pubblicazione: (2026)

GO-Renderer: Generative Object Rendering with 3D-aware Controllable Video Diffusion Models
di: Gu, Zekai, et al.
Pubblicazione: (2026)