Cover Image

Vision and Intention Boost Large Language Model in Long-Term Action Anticipation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Congqi, Hu, Lanshu, Yu, Yating, Zhang, Yanning
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Generalize without Bias for Open-Vocabulary Action Recognition
by: Yu, Yating, et al.
Published: (2025)

Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition
by: Cao, Congqi, et al.
Published: (2024)

Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP
by: Yu, Yating, et al.
Published: (2024)

Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition
by: Cao, Congqi, et al.
Published: (2025)

Intention-Guided Cognitive Reasoning for Egocentric Long-Term Action Anticipation
by: Chu, Qiaohui, et al.
Published: (2025)

Intention Action Anticipation Model with Guide-Feedback Loop Mechanism
by: Ma, Zongnan, et al.
Published: (2024)

Bidirectional Action Sequence Learning for Long-term Action Anticipation with Large Language Models
by: Sato, Yuji, et al.
Published: (2025)

Bidirectional Progressive Transformer for Interaction Intention Anticipation
by: Zhang, Zichen, et al.
Published: (2024)

Autoregressive Denoising Score Matching is a Good Video Anomaly Detector
by: Zhang, Hanwen, et al.
Published: (2025)

AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
by: Zhao, Qi, et al.
Published: (2023)

Intention-Conditioned Long-Term Human Egocentric Action Forecasting
by: Mascaro, Esteve Valls, et al.
Published: (2022)

Multimodal Large Models Are Effective Action Anticipators
by: Wang, Binglu, et al.
Published: (2025)

Technical Report for Ego4D Long-Term Action Anticipation Challenge 2025
by: Chu, Qiaohui, et al.
Published: (2025)

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers
by: Ma, Ji, et al.
Published: (2025)

Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation
by: Zatsarynna, Olga, et al.
Published: (2024)

From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models
by: Fang, Irving, et al.
Published: (2025)

MAIN-VLA: Modeling Abstraction of Intention and eNvironment for Vision-Language-Action Models
by: Zhou, Zheyuan, et al.
Published: (2026)

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models
by: Ren, Xiyu, et al.
Published: (2026)

Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention
by: Ozdel, Suleyman, et al.
Published: (2024)

VT-LVLM-AR: A Video-Temporal Large Vision-Language Model Adapter for Fine-Grained Action Recognition in Long-Term Videos
by: Li, Kaining, et al.
Published: (2025)

MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Anticipation
by: Zatsarynna, Olga, et al.
Published: (2025)

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

BOLT: Boost Large Vision-Language Model Without Training for Long-form Video Understanding
by: Liu, Shuming, et al.
Published: (2025)

Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models
by: Suo, Wei, et al.
Published: (2024)

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers
by: Wang, Yating, et al.
Published: (2025)

CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World
by: Yu, Yating, et al.
Published: (2025)

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models
by: Fu, Mingyu, et al.
Published: (2025)

Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models
by: Mittal, Himangi, et al.
Published: (2024)

Predict and Resist: Long-Term Accident Anticipation under Sensor Noise
by: Liu, Xingcheng, et al.
Published: (2025)

Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning
by: Deng, Huilin, et al.
Published: (2025)

Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters
by: Yu, Jiazuo, et al.
Published: (2024)

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

UniVRSE: Unified Vision-conditioned Response Semantic Entropy for Hallucination Detection in Medical Vision-Language Models
by: Liao, Zehui, et al.
Published: (2025)

Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models
by: Lv, Kangtao, et al.
Published: (2024)

DiffV2IR: Visible-to-Infrared Diffusion Model via Vision-Language Understanding
by: Ran, Lingyan, et al.
Published: (2025)

Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints
by: Maté, Alberto, et al.
Published: (2024)

Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models
by: Chen, Guo, et al.
Published: (2025)

Improving Multi-modal Large Language Model through Boosting Vision Capabilities
by: Sun, Yanpeng, et al.
Published: (2024)

Boosting Vision-Language Models with Transduction
by: Zanella, Maxime, et al.
Published: (2024)

PEAR: Phrase-Based Hand-Object Interaction Anticipation
by: Zhang, Zichen, et al.
Published: (2024)