thomascong121
I am a Ph.D. student at UNSW, my main research focus is medical image analysis and deep learning.
Pinned Repositories
AdUni
Source code of "Adaptive Unified Contrastive Learning for Imbalanced Classification" presented in International Workshop on Machine Learning in Medical Imaging, 2022
awesome-long-tail-learning
BigData
CAGAN_Stain_Norm
Source code of the paper "Colour adaptive generative networks for stain normalisation of histopathology images" presented in Medical Image Analysis, 2022
classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
CodeWithMosh
COMP9318_HMM
ImageProcessSlider
Machine_Learning
UNSW COMP9417 19T2
SocialDistance
Source code of "Towards Enforcing Social Distancing Regulations with Occlusion-Aware Crowd Detection" presented in International Conference on Control, Automation, Robotics and Vision, 2020
thomascong121's Repositories
thomascong121/Machine_Learning
UNSW COMP9417 19T2
thomascong121/CAGAN_Stain_Norm
Source code of the paper "Colour adaptive generative networks for stain normalisation of histopathology images" presented in Medical Image Analysis, 2022
thomascong121/SocialDistance
Source code of "Towards Enforcing Social Distancing Regulations with Occlusion-Aware Crowd Detection" presented in International Conference on Control, Automation, Robotics and Vision, 2020
thomascong121/AdUni
Source code of "Adaptive Unified Contrastive Learning for Imbalanced Classification" presented in International Workshop on Machine Learning in Medical Imaging, 2022
thomascong121/ImageProcessSlider
thomascong121/awesome-long-tail-learning
thomascong121/BigData
thomascong121/classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
thomascong121/CodeWithMosh
thomascong121/COMP9318_HMM
thomascong121/COMP9321-Data-Services
thomascong121/Computer_Vision
thomascong121/DecisionTree_Python
thomascong121/Deep-Residual-Unet
ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.
thomascong121/DeepGAT
thomascong121/DRO-LT
Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
thomascong121/LDAM-DRW
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
thomascong121/MiSLAS
Improving Calibration for Long-Tailed Recognition (CVPR2021)
thomascong121/ml_segmentation
Machine learning semantic segmentation - Random Forest, SVM, GBC
thomascong121/NCRF
Cancer metastasis detection with neural conditional random field (NCRF)
thomascong121/RIDE-LongTailRecognition
[ICLR 2021 Spotlight] Pytorch implementation for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."
thomascong121/SIIM-ACR-Pneumothorax-Segmentation
thomascong121/swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
thomascong121/targeted-supcon
thomascong121/Transformation-CR
Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation
thomascong121/UNSW_CS
thomascong121/Web_checker
Use webbot package for a simple version of checking if a particular course has any empty space.