A curated collection of resources focused on the Mechanistic Interpretability (MI) of Large Multimodal Models (LMMs). This repository aggregates surveys, blog posts, and research papers that explore how LMMs represent, transform, and align multimodal information internally.

Recognize Any Regions

[--branch main] FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning (CVPR25)　　 　　　　　　　　　[--branch FSVFM-extension] Scalable Face Security Vision Foundation Model for Deepfake, Diffusion, and Spoofing Detection (Extented Version)

One-Shot Open Affordance Learning with Foundation Models (CVPR 2024)

MonoDINO-DETR: Depth-Enhanced Monocular 3D Object Detection Using a Vision Foundation Model

A Vision Foundation Model for Cine Cardiac Magnetic Resonance Imaging

Official repository of "CoMP: Continual Multimodal Pre-training for Vision Foundation Models"

This repo collects some latest research work of Generative AI. It provides simple implementations to understand the ideas and some follow-up discussions to inspire future work.

Implementation of CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation.

"Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model"

Simple Gradio application integrated with Hugging Face Multimodals to support visual question answering chatbot and more features

Codebase for probing VFMs and Feature Upsamplers using Intractive Segmentation.

Florence-2 quick test

ProRobo3D Benchmark to be release...