YueFan1014 / VideoAgentLinks
This is the official code of VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding (ECCV 2024)
☆295Updated last year
Alternatives and similar repositories for VideoAgent
Users that are interested in VideoAgent are comparing it to the libraries listed below
Sorting:
- (2024CVPR) MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding☆344Updated last year
- This is the official implementation of ICCV 2025 "Flash-VStream: Efficient Real-Time Understanding for Long Video Streams"☆267Updated 3 months ago
- SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models☆286Updated last year
- [CVPR 2024] TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding☆409Updated 9 months ago
- Official Repository of paper VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding☆292Updated 6 months ago
- ☆134Updated 9 months ago
- [CVPR'2024 Highlight] Official PyTorch implementation of the paper "VTimeLLM: Empower LLM to Grasp Video Moments".☆294Updated last year
- ✨✨[NeurIPS 2025] This is the official implementation of our paper "Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehensi…☆395Updated 3 weeks ago
- [ICLR2026] VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling☆501Updated 2 months ago
- [NIPS2025] VideoChat-R1 & R1.5: Enhancing Spatio-Temporal Perception and Reasoning via Reinforcement Fine-Tuning☆256Updated 3 months ago
- Long Context Transfer from Language to Vision☆398Updated 10 months ago
- Video-R1: Reinforcing Video Reasoning in MLLMs [🔥the first paper to explore R1 for video]☆816Updated last month
- Code for CVPR25 paper "VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos"☆154Updated 7 months ago
- Awesome papers & datasets specifically focused on long-term videos.☆351Updated 4 months ago
- ✨First Open-Source R1-like Video-LLM [2025/02/18]☆381Updated 11 months ago
- PG-Video-LLaVA: Pixel Grounding in Large Multimodal Video Models