[CVPR 2025 Highlight] Official code for "Olympus: A Universal Task Router for Computer Vision Tasks"

[ICLR 2025] This is the official repository of our paper "MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine“

This is the repo for the paper "OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use" (ACL 2025).

🎉 [ACL 2025] The code repository for "Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning" in PyTorch.

A Simple Baseline Achieving Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1. Paper at: https://arxiv.org/abs/2503.10635

Official Repo of Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

ACTIVE-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO

Awesome Reasoning in MLLMs: Papers and Projects about learning to reason with MLLMs, including Chain-of-Thought (CoT), OpenAl o1, and DeepSeek-R1

[CVPR2025] SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories

🔥[CVPR2025] EventGPT: Event Stream Understanding with Multimodal Large Language Models

[CVPR 2025] Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation

🚀 Global Compression Commander: Plug-and-Play Inference Acceleration for High-Resolution Large Vision-Language Models

WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs

Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models

【CVPR2025】IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification

A Survey of Multimodal Retrieval-Augmented Generation

On Path to Multimodal Generalist: General-Level and General-Bench

This repository collects research papers of large Foundation Models for Scenario Generation and Analysis in Autonomous Driving. The repository will be continuously updated to track the latest update.

Backdoor Cleaning without External Guidance in MLLM Fine-tuning

[ICLR 2025] Breaking Mental Set to Improve Reasoning through Diverse Multi-Agent Debate