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📫 Research Update

The 1st WACV Workshop on Large Language and Vision Models for Autonomous Driving (LLVM-AD) will be hold in Waikoloa, Hawaii. I am the main workshop and challenge organizer. Join us in Jan 8, 2024 to explore how large language models contribute to self-driving.

⚡️ A quick introduction

Researcher for Embodied AI, AI for Low-resource Setting, AI for Social Good

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Xu Cao's Projects

aggpose icon aggpose

AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation

botbuilder-samples icon botbuilder-samples

Welcome to the Bot Framework samples repository. Here you will find task-focused samples in C#, JavaScript and TypeScript to help you get started with the Bot Framework SDK!

contour-aware-unet icon contour-aware-unet

The realization of different classes of Unet framework including contour-aware-Unet, DCAN, Dual Unet, Attention Unet, Unet++

deeplearning icon deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

mae-vit-pytorch icon mae-vit-pytorch

MAE-ViT-pytorch, structure is based on https://github.com/rwightman/pytorch-image-models

microsoft-teams-app-checklist icon microsoft-teams-app-checklist

Checklist is a custom Teams message extension app that enables users to Collaborate with their team by creating a shared checklist in a chat or channel. Checklist app is supported across all platforms – Teams desktop, browser, iOS, and Android clients. It is ready for deployment as part of your existing Microsoft 365 subscription.

pet icon pet

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

pyhealth icon pyhealth

A Deep Learning Python Toolkit for Healthcare Applications.

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

sec-unet_semantic_embedding_and_contour_assist_unet_for_bacteria_segmentation-and-detection icon sec-unet_semantic_embedding_and_contour_assist_unet_for_bacteria_segmentation-and-detection

The number of bacterial types is a critical monitoring indicator for indoor air quality standards. It is a challenging task to cultivate and count colonies of bacteria which is expertise required and time-consuming. In this work, we investigate several U-Net improvement approaches. We are motivated by the assumption that contour information and semantic embedding branch can enhance U-Net's segmentation capacity for blurred and overlapping objects. Therefore, we propose Semantic Embedding and Contour Assist U-Net (SEC-U-Net) for direct bacteria segmentation and a shallow CNN for bacteria classification. This algorithm designed the detection of bacteria as a two-stage segmentation and classification task. Experimental results demonstrate the proposed method outperforms the state-of-the-art improved U-Net approaches on our bacteria dataset. Proposed SEC-U-NET+CNN based training presented over 91% and 85% precision rate for E.coli and S.aureus, respectively.

transunet icon transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

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