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Starred repositories
A curated list of resources for using LLMs to develop more competitive grant applications.
[MICCAI 2024] Official code for "SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance" (Simplified Version)
Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary
Preview Zotero attachments in the library view.
Medical SAM 2: Segment 3D Medical Images Via Segment Anything Model 2
Change the style of the Apple logo in macOS menu bar / 更换macOS菜单栏苹果Logo样式的小工具
weihuoya / citra
Forked from neobrain/citraA Nintendo 3DS Emulator
ImageMagick is a free, open-source software suite for creating, editing, converting, and displaying images. It supports 200+ formats and offers powerful command-line tools and APIs for automation, …
AeroSpace is an i3-like tiling window manager for macOS
A small macOS menu bar-residing screen and system audio recorder which uses the ScreenCaptureKit API introduced in Ventura
SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.
[NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
OpenStereo: A Comprehensive Benchmark for Stereo Matching
High performance self-hosted photo and video management solution.
Reading list and publicly available datasets for surgical vision
This repository contains the source code for our paper: "Husformer: A Multi-Modal Transformer for Multi-Modal Human State Recognition". For more details, please refer to our paper at https://arxiv.…
The implementation of ICASSP 2024 lecture presentation paper "Hypergraph Transformer for Semi-Supervised Classification"
CV codes from CIAM Group at SUSTech, Shenzhen, China
[MedIA'20]Multi-task recurrent convolutional network with correlation loss for surgical video analysis, winner algorithm at MICCAI'19 Surgical Workflow and Skill Analysis Challenge
Official repository for "Dissecting Self-Supervised Learning Methods for Surgical Computer Vision"
[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train