moucheng2017

3d-vehicle-tracking

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

EM-BPL-Semi-Seg

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

kannada_exp

LLMs-from-scratch-mcx

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

Med-Noisy-Labels

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

MisMatch-Semi-Seg

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

Pay_Attention_To_Mistakes

[BMVC 2020] Learning To Pay Attention To Mistakes

SatsumaSeg

Segmentation of Pulmonary Tublar Structures with CT Volumes (Developing)

SOP-LVM-ICL-Ensemble

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

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

moucheng2017/Med-Noisy-Labels

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

moucheng2017/EM-BPL-Semi-Seg

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

moucheng2017/MisMatch-Semi-Seg

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

moucheng2017/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

moucheng2017/Pay_Attention_To_Mistakes

[BMVC 2020] Learning To Pay Attention To Mistakes

moucheng2017/SatsumaSeg

Segmentation of Pulmonary Tublar Structures with CT Volumes (Developing)

moucheng2017/SOP-LVM-ICL-Ensemble

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

moucheng2017/moucheng2017.github.io

moucheng2017/3d-vehicle-tracking

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

moucheng2017/kannada_exp

moucheng2017/LLMs-from-scratch-mcx

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

moucheng2017/mean-teacher

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

moucheng2017/mnist_robust

CMIC Hackathon

moucheng2017/MAE-exp

PyTorch implementation of Masked Autoencoder

moucheng2017/MRes_individual_project

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

moucheng2017/pytorch-cifar

95.47% on CIFAR10 with PyTorch

moucheng2017/Semi-supervised-learning

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

moucheng2017/TorchSemiSeg

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

moucheng2017/TorchSSL

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

moucheng2017/UA-MT

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

moucheng2017/wonderbread

WONDERBREAD benchmark + dataset for BPM tasks

moucheng2017/YOLO3D

YOLO 3D Object Detection for Autonomous Driving Vehicle