[CVPR 2025] Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation

The official pytorch implemention of our IJCV-2025 paper "Learning with Enriched Inductive Biases for Vision-Language Models".

Official Repo for Paper ‘’HealthGPT : A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation‘’

Builder and index for PyTorch packages

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

A pytorch library for graph and hypergraph computation.

[MICCAI 2024] VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

[AAAI' 25] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Zhejiang University Graduation Thesis LaTeX Template

[EMNLP 2024 Main] MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension

[NeurIPS 2024] Touchstone - Benchmarking AI on 5,172 o.o.d. CT volumes and 9 anatomical structures

A Unified Python Library for Graph Prompting

[COLING'25] HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding

[MIDL 2024] Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models

The repository contains the official implementation of "Self-Calibrated CLIP for Training-Free Open-Vocabulary Segmentation"

[MICCAI 2024] Official Repo of "HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction"

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.

[ECCV 2024] The official code of paper "Open-Vocabulary SAM".

EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts

Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images

The efficient tuning method for VLMs

The first Chinese medical large vision-language model designed to integrate the analysis of textual and visual data