MCX (moucheng2017)

moucheng2017

Geek Repo

Company:UCL

Location:London

Home Page:https://moucheng2017.github.io/

Twitter:@moucheng_xu

Github PK Tool:Github PK Tool

MCX's repositories

Med-Noisy-Labels

[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

EM-BPL-Semi-Seg

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

MisMatch-Semi-Seg

[MIDL 2022 Oral] Learning Morphological Feature Perturbations for Calibrated Semi Supervised Segmentation

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UROP_2017

[ISTA 2018] Effect of Different Depth Designs of 3D Printed Patient Specific Instrument (PSI) on Planar Cutting Operation Accuracy in Simulated Orthopaedic Surgery: A Preliminary Study

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Pay_Attention_To_Mistakes

[BMVC 2020] Learning To Pay Attention To Mistakes

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SatsumaSeg

Segmentation of Pulmonary Tublar Structures with CT Volumes (Developing)

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SOP-LVM-ICL-Ensemble

In-Context Ensemble Improves Video-Language Models for Low-Level Workflow Understanding from Human Demonstrations

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MRI-GMM-VAE

[Under construction] MRI Parameter Mapping without Independent Voxel Assumption via Gaussian Mixture Variational Autoencoder

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3d-vehicle-tracking

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

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LLMs-from-scratch-mcx

Implementing a ChatGPT-like LLM from scratch, step by step

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mean-teacher

A state-of-the-art semi-supervised method for image recognition

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mnist_robust

CMIC Hackathon

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MAE-exp

PyTorch implementation of Masked Autoencoder

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MRes_individual_project

[Preprint] Attention Based Diagnosis Support in Neurosurgical Oncology Using Intraoperative Ultrasound Data

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pytorch-cifar

95.47% on CIFAR10 with PyTorch

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Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

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TorchSemiSeg

[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

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TorchSSL

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

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UA-MT

code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

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wonderbread

WONDERBREAD benchmark + dataset for BPM tasks

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YOLO3D

YOLO 3D Object Detection for Autonomous Driving Vehicle

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