Cover Image

VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xinhao, Wang, Yi, Yu, Jiashuo, Zeng, Xiangyu, Zhu, Yuhan, Huang, Haian, Gao, Jianfei, Li, Kunchang, He, Yinan, Wang, Chenting, Qiao, Yu, Wang, Yali, Wang, Limin
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VideoChat: Chat-Centric Video Understanding
by: Li, KunChang, et al.
Published: (2023)

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
by: Wang, Yi, et al.
Published: (2025)

VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception
by: Yan, Ziang, et al.
Published: (2025)

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
by: Li, Xinhao, et al.
Published: (2025)

VideoChat-A1: Thinking with Long Videos by Chain-of-Shot Reasoning
by: Wang, Zikang, et al.
Published: (2025)

Online Video Understanding: OVBench and VideoChat-Online
by: Huang, Zhenpeng, et al.
Published: (2024)

VideoMamba: State Space Model for Efficient Video Understanding
by: Li, Kunchang, et al.
Published: (2024)

TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
by: Zeng, Xiangyu, et al.
Published: (2024)

Make Your Training Flexible: Towards Deployment-Efficient Video Models
by: Wang, Chenting, et al.
Published: (2025)

Unmasked Teacher: Towards Training-Efficient Video Foundation Models
by: Li, Kunchang, et al.
Published: (2023)

Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment
by: Yan, Ziang, et al.
Published: (2024)

Harvest Video Foundation Models via Efficient Post-Pretraining
by: Li, Yizhuo, et al.
Published: (2023)

InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
by: Wang, Yi, et al.
Published: (2024)

VideoEval: Comprehensive Benchmark Suite for Low-Cost Evaluation of Video Foundation Model
by: Li, Xinhao, et al.
Published: (2024)

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
by: Wang, Yi, et al.
Published: (2023)

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

VideoChat-M1: Collaborative Policy Planning for Video Understanding via Multi-Agent Reinforcement Learning
by: Chen, Boyu, et al.
Published: (2025)

InternVideo-Next: Towards General Video Foundation Models without Video-Text Supervision
by: Wang, Chenting, et al.
Published: (2025)

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
by: Li, Kunchang, et al.
Published: (2023)

ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video
by: Li, Xinhao, et al.
Published: (2023)

Video-o3: Native Interleaved Clue Seeking for Long Video Multi-Hop Reasoning
by: Zeng, Xiangyu, et al.
Published: (2026)

FreeRet: MLLMs as Training-Free Retrievers
by: Zhu, Yuhan, et al.
Published: (2025)

Super Encoding Network: Recursive Association of Multi-Modal Encoders for Video Understanding
by: Chen, Boyu, et al.
Published: (2025)

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos
by: Yu, Jiashuo, et al.
Published: (2025)

LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering
by: Zhang, Hongjie, et al.
Published: (2023)

V-Stylist: Video Stylization via Collaboration and Reflection of MLLM Agents
by: Yue, Zhengrong, et al.
Published: (2025)

TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration
by: Guo, Yiwei, et al.
Published: (2024)

ExpVid: A Benchmark for Experiment Video Understanding & Reasoning
by: Xu, Yicheng, et al.
Published: (2025)

Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel
by: Wang, Zun, et al.
Published: (2024)

UniFlow: A Unified Pixel Flow Tokenizer for Visual Understanding and Generation
by: Yue, Zhengrong, et al.
Published: (2025)

H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving
by: Chen, Siran, et al.
Published: (2025)

MUSES: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration
by: Ding, Yanbo, et al.
Published: (2024)

JenBridge: Adaptive Long-Form Video Soundtracking across Scene Transitions
by: Yu, Jiashuo, et al.
Published: (2026)

UniFormer: Unifying Convolution and Self-attention for Visual Recognition
by: Li, Kunchang, et al.
Published: (2022)

Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding
by: Chen, Guo, et al.
Published: (2024)

Vlogger: Make Your Dream A Vlog
by: Zhuang, Shaobin, et al.
Published: (2024)

StreamForest: Efficient Online Video Understanding with Persistent Event Memory
by: Zeng, Xiangyu, et al.
Published: (2025)

LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization
by: Huang, Zhenpeng, et al.
Published: (2026)

HiCI: Hierarchical Construction-Integration for Long-Context Attention
by: Zeng, Xiangyu, et al.
Published: (2026)

VideoTG-R1: Boosting Video Temporal Grounding via Curriculum Reinforcement Learning on Reflected Boundary Annotations
by: Dong, Lu, et al.
Published: (2025)