Xu Cao (IrohXu)

IrohXu

Geek Repo

Company:UIUC

Location:Palo Alto

Home Page:https://www.irohxucao.com/

Twitter:@IrohXu

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Organizations
SZCHAI

Xu Cao's repositories

Awesome-Multimodal-LLM-Autonomous-Driving

[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving

lanenet-lane-detection-pytorch

Unofficial implemention of lanenet model for real time lane detection Pytorch Version

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waymo_to_semanticKITTI

Convert waymo open dataset 3D segmentation format to SemanticKITTI format.

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Gomoku-XYH19

A AI project about Gomoku

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MAE-ViT-pytorch

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

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Infant-Pose-pytorch

Apply OpenPose and Infant Key-point Dataset to Evaluate Infant Posture

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contour-aware-Unet

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

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Crossing_Aggregation_Network

It is a U-Net based network which absorb ideas from deep aggregation layers(DLA), Unet++, ET-Net......

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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.

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TRN-pytorch-Temporal-Relational-Reasoning-in-Videos

Implementation for Temporal Relational Reasoning in Videos. This is a NYU course project for DS-GA 3001.004/.005 Introduction to Computer Vision (Spring 2021)

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irohxu.github.io

github.io for Iroh Cao

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AggPose

AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation

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android-demo-app-for-TB-project

PyTorch android examples of usage in applications

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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!

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Cylinder3D_waymo

Use Cylinder3D in Waymo

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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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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k-diffusion-med

Karras et al. (2022) diffusion models used for Med data

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Lipschitz-Transformer-PyTorch

PyTorch Implementation of Lipschitz Transformer

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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.

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mmdetection3d_waymo

OpenMMLab's next-generation platform for general 3D object detection.

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pet

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

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PyHealth

A Deep Learning Python Toolkit for Healthcare Applications.

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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

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stable-diffusion-webui

Stable Diffusion web UI

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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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Voxel-MAE

Voxel-MAE: Masked Autoencoders for Pre-training Large-scale Point Clouds

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vue-admin-template

a vue2.0 minimal admin template

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vue-element-admin

:tada: A magical vue admin https://panjiachen.github.io/vue-element-admin

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