Vamos: Versatile Action Models for Video Understanding
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Shijie, Zhao, Qi, Do, Minh Quan, Agarwal, Nakul, Lee, Kwonjoon, Sun, Chen |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
by: Zhao, Qi, et al.
Published: (2023)
by: Zhao, Qi, et al.
Published: (2023)
Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models
by: Mittal, Himangi, et al.
Published: (2024)
by: Mittal, Himangi, et al.
Published: (2024)
ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models
by: Zhou, Kaiwen, et al.
Published: (2023)
by: Zhou, Kaiwen, et al.
Published: (2023)
VideoVista: A Versatile Benchmark for Video Understanding and Reasoning
by: Li, Yunxin, et al.
Published: (2024)
by: Li, Yunxin, et al.
Published: (2024)
Enabling Versatile Controls for Video Diffusion Models
by: Zhang, Xu, et al.
Published: (2025)
by: Zhang, Xu, et al.
Published: (2025)
Can Hallucination Correction Improve Video-Language Alignment?
by: Zhao, Lingjun, et al.
Published: (2025)
by: Zhao, Lingjun, et al.
Published: (2025)
TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability
by: Chen, Shimin, et al.
Published: (2024)
by: Chen, Shimin, et al.
Published: (2024)
Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight
by: Yang, Yi, et al.
Published: (2025)
by: Yang, Yi, et al.
Published: (2025)
VidLaDA: Bidirectional Diffusion Large Language Models for Efficient Video Understanding
by: He, Zhihao, et al.
Published: (2026)
by: He, Zhihao, et al.
Published: (2026)
Contact-Aware Amodal Completion for Human-Object Interaction via Multi-Regional Inpainting
by: Chi, Seunggeun, et al.
Published: (2025)
by: Chi, Seunggeun, et al.
Published: (2025)
ACE: Action Concept Enhancement of Video-Language Models in Procedural Videos
by: Ghoddoosian, Reza, et al.
Published: (2024)
by: Ghoddoosian, Reza, et al.
Published: (2024)
VideoWeave: A Data-Centric Approach for Efficient Video Understanding
by: Durante, Zane, et al.
Published: (2026)
by: Durante, Zane, et al.
Published: (2026)
Personalized Video Summarization by Multimodal Video Understanding
by: Chen, Brian, et al.
Published: (2024)
by: Chen, Brian, et al.
Published: (2024)
DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding
by: Feng, Hao, et al.
Published: (2023)
by: Feng, Hao, et al.
Published: (2023)
Understanding the Role of Hallucination in Reinforcement Post-Training of Multimodal Reasoning Models
by: Zhang, Gengwei, et al.
Published: (2026)
by: Zhang, Gengwei, et al.
Published: (2026)
Vid-SME: Membership Inference Attacks against Large Video Understanding Models
by: Li, Qi, et al.
Published: (2025)
by: Li, Qi, et al.
Published: (2025)
SV3.3B: A Sports Video Understanding Model for Action Recognition
by: Kodathala, Sai Varun, et al.
Published: (2025)
by: Kodathala, Sai Varun, et al.
Published: (2025)
InstrAct: Towards Action-Centric Understanding in Instructional Videos
by: Yang, Zhuoyi, et al.
Published: (2026)
by: Yang, Zhuoyi, et al.
Published: (2026)
VideoTemp-o3: Harmonizing Temporal Grounding and Video Understanding in Agentic Thinking-with-Videos
by: Liu, Wenqi, et al.
Published: (2026)
by: Liu, Wenqi, et al.
Published: (2026)
EGOILLUSION: Benchmarking Hallucinations in Egocentric Video Understanding
by: Seth, Ashish, et al.
Published: (2025)
by: Seth, Ashish, et al.
Published: (2025)
Evaluating Large Vision-language Models for Surgical Tool Detection
by: Poudel, Nakul, et al.
Published: (2026)
by: Poudel, Nakul, et al.
Published: (2026)
SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding
by: Chen, Zhen, et al.
Published: (2025)
by: Chen, Zhen, et al.
Published: (2025)
VideoRewardBench: Comprehensive Evaluation of Multimodal Reward Models for Video Understanding
by: Zhang, Zhihong, et al.
Published: (2025)
by: Zhang, Zhihong, et al.
Published: (2025)
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding
by: Sun, Boyuan, et al.
Published: (2025)
by: Sun, Boyuan, et al.
Published: (2025)
VERHallu: Evaluating and Mitigating Event Relation Hallucination in Video Large Language Models
by: Zhang, Zefan, et al.
Published: (2026)
by: Zhang, Zefan, et al.
Published: (2026)
Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding
by: Yuan, Liping, et al.
Published: (2025)
by: Yuan, Liping, et al.
Published: (2025)
Occlusion-Aware Temporally Consistent Amodal Completion for 3D Human-Object Interaction Reconstruction
by: Doh, Hyungjun, et al.
Published: (2025)
by: Doh, Hyungjun, et al.
Published: (2025)
Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance
by: Lin, Yiqi, et al.
Published: (2026)
by: Lin, Yiqi, et al.
Published: (2026)
MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models
by: Yang, Garry, et al.
Published: (2025)
by: Yang, Garry, et al.
Published: (2025)
VideoPrism: A Foundational Visual Encoder for Video Understanding
by: Zhao, Long, et al.
Published: (2024)
by: Zhao, Long, et al.
Published: (2024)
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data
by: Si, Haozhe, et al.
Published: (2025)
by: Si, Haozhe, et al.
Published: (2025)
CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games
by: Chen, Peng, et al.
Published: (2025)
by: Chen, Peng, et al.
Published: (2025)
PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures
by: Shukla, Shreya, et al.
Published: (2025)
by: Shukla, Shreya, et al.
Published: (2025)
CogStream: Context-guided Streaming Video Question Answering
by: Zhao, Zicheng, et al.
Published: (2025)
by: Zhao, Zicheng, et al.
Published: (2025)
Do Pre-trained Vision-Language Models Encode Object States?
by: Newman, Kaleb, et al.
Published: (2024)
by: Newman, Kaleb, et al.
Published: (2024)
Fewer Tokens and Fewer Videos: Extending Video Understanding Abilities in Large Vision-Language Models
by: Chen, Shimin, et al.
Published: (2024)
by: Chen, Shimin, et al.
Published: (2024)
Scaling the Long Video Understanding of Multimodal Large Language Models via Visual Memory Mechanism
by: Chen, Tao, et al.
Published: (2026)
by: Chen, Tao, et al.
Published: (2026)
LEMON: How Well Do MLLMs Perform Temporal Multimodal Understanding on Instructional Videos?
by: Yu, Zhuang, et al.
Published: (2026)
by: Yu, Zhuang, et al.
Published: (2026)
Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding
by: Wang, Ziyang, et al.
Published: (2025)
by: Wang, Ziyang, et al.
Published: (2025)
SkateboardAI: The Coolest Video Action Recognition for Skateboarding
by: Chen, Hanxiao
Published: (2023)
by: Chen, Hanxiao
Published: (2023)
Similar Items
-
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
by: Zhao, Qi, et al.
Published: (2023) -
Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models
by: Mittal, Himangi, et al.
Published: (2024) -
ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models
by: Zhou, Kaiwen, et al.
Published: (2023) -
VideoVista: A Versatile Benchmark for Video Understanding and Reasoning
by: Li, Yunxin, et al.
Published: (2024) -
Enabling Versatile Controls for Video Diffusion Models
by: Zhang, Xu, et al.
Published: (2025)