:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Yifei, Chen, Dapeng, Liu, Ruijin, Zhou, Sai, Xue, Wenyuan, Peng, Wei
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2311.15619
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Survey on Hallucination in Large Vision-Language Models
di: Liu, Hanchao, et al.
Pubblicazione: (2024)

Leveraging Temporal Contextualization for Video Action Recognition
di: Kim, Minji, et al.
Pubblicazione: (2024)

Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools
di: Yuan, Zhenlong, et al.
Pubblicazione: (2025)

M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition
di: Wang, Mengmeng, et al.
Pubblicazione: (2024)

Leveraging Vision-Language Large Models for Interpretable Video Action Recognition with Semantic Tokenization
di: Peng, Jingwei, et al.
Pubblicazione: (2025)

Masked Video and Body-worn IMU Autoencoder for Egocentric Action Recognition
di: Zhang, Mingfang, et al.
Pubblicazione: (2024)

Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts
di: Yang, Yanting, et al.
Pubblicazione: (2024)

Storyboard guided Alignment for Fine-grained Video Action Recognition
di: Liu, Enqi, et al.
Pubblicazione: (2024)

LARY: A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action Alignment
di: Nie, Dujun, et al.
Pubblicazione: (2026)

Rethinking CLIP-based Video Learners in Cross-Domain Open-Vocabulary Action Recognition
di: Lin, Kun-Yu, et al.
Pubblicazione: (2024)

Towards an Effective Action-Region Tracking Framework for Fine-grained Video Action Recognition
di: Sun, Baoli, et al.
Pubblicazione: (2025)

Self-supervised Video Instance Segmentation Can Boost Geographic Entity Alignment in Historical Maps
di: Xia, Xue, et al.
Pubblicazione: (2024)

StegaVAR: Privacy-Preserving Video Action Recognition via Steganographic Domain Analysis
di: Chen, Lixin, et al.
Pubblicazione: (2025)

ActionHub: A Large-scale Action Video Description Dataset for Zero-shot Action Recognition
di: Zhou, Jiaming, et al.
Pubblicazione: (2024)

Denoising-Contrastive Alignment for Continuous Sign Language Recognition
di: Guo, Leming, et al.
Pubblicazione: (2023)

RefAlign: Representation Alignment for Reference-to-Video Generation
di: Wang, Lei, et al.
Pubblicazione: (2026)

Leveraging Synthetic Data for Generalizable and Fair Facial Action Unit Detection
di: Lu, Liupei, et al.
Pubblicazione: (2024)

AlignGemini: Generalizable AI-Generated Image Detection Through Task-Model Alignment
di: Chen, Ruoxin, et al.
Pubblicazione: (2025)

Percept, Chat, and then Adapt: Multimodal Knowledge Transfer of Foundation Models for Open-World Video Recognition
di: Chen, Boyu, et al.
Pubblicazione: (2024)

SkateboardAI: The Coolest Video Action Recognition for Skateboarding
di: Chen, Hanxiao
Pubblicazione: (2023)

Adapt before Continual Learning
di: Lu, Aojun, et al.
Pubblicazione: (2025)

Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
di: Lu, Jiahao, et al.
Pubblicazione: (2024)

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

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

Generalizable Implicit Motion Modeling for Video Frame Interpolation
di: Guo, Zujin, et al.
Pubblicazione: (2024)

Temporal Alignment-Free Video Matching for Few-shot Action Recognition
di: Lee, SuBeen, et al.
Pubblicazione: (2025)

SV3.3B: A Sports Video Understanding Model for Action Recognition
di: Kodathala, Sai Varun, et al.
Pubblicazione: (2025)

ActionVOS: Actions as Prompts for Video Object Segmentation
di: Ouyang, Liangyang, et al.
Pubblicazione: (2024)

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

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment
di: Li, Yan, et al.
Pubblicazione: (2024)

From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos
di: Chen, Yin, et al.
Pubblicazione: (2023)

Referring Atomic Video Action Recognition
di: Peng, Kunyu, et al.
Pubblicazione: (2024)

Action Hints: Semantic Typicality and Context Uniqueness for Generalizable Skeleton-based Video Anomaly Detection
di: Tang, Canhui, et al.
Pubblicazione: (2025)

Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis
di: Li, Lei-lei, et al.
Pubblicazione: (2025)

An Animation-based Augmentation Approach for Action Recognition from Discontinuous Video
di: Song, Xingyu, et al.
Pubblicazione: (2024)

Zero-Shot Skeleton-Based Action Recognition With Prototype-Guided Feature Alignment
di: Zhou, Kai, et al.
Pubblicazione: (2025)

MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition
di: Qu, Hongyu, et al.
Pubblicazione: (2024)

HabitAction: A Video Dataset for Human Habitual Behavior Recognition
di: Li, Hongwu, et al.
Pubblicazione: (2024)

From Recognition to Prediction: Leveraging Sequence Reasoning for Action Anticipation
di: Liu, Xin, et al.
Pubblicazione: (2024)

Leveraging Foundation Models for Multimodal Graph-Based Action Recognition
di: Ziaeetabar, Fatemeh, et al.
Pubblicazione: (2025)