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- [ECCV2024] Video Foundation Models & Data for Multimodal Understanding
- VisionLLM Series
- [CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
- [CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
- [ICLR 2025] TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
Ask-Anything
Public[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.- [NeurIPS 2024 Spotlight ⭐️] Parameter-Inverted Image Pyramid Networks (PIIP)
vinci
PublicHulk
Public- [NeurIPS 2024] Needle In A Multimodal Haystack (MM-NIAH): A comprehensive benchmark designed to systematically evaluate the capability of existing MLLMs to comprehend long multimodal documents.
GUI-Odyssey
Public- Train InternViT-6B in MMSegmentation and MMDetection with DeepSpeed
- [CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.