Name: Francis Chen
Type: User
Company: Centre for Artificial Intelligence and Robotics (CAIR), Chinese Academy of Sciences
Bio: I am an assistant professor at CAIR-CAS, working on intelligent medical diagnosis.
Location: Hong Kong SAR
Blog: https://franciszchen.github.io/
Francis Chen's Projects
3D ResNets for Action Recognition (CVPR 2018)
3D convolutional neural network for video classification
Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!
Solved algorithms and data structures problems in many languages
A collection of research papers categorized into broad topics in federated learning.
Awesome GAN for Medical Imaging
awesome image and video denoising, state of the art networks
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
Basic Super-Resolution Toolbox, including SRResNet, SRGAN, ESRGAN, etc.
Remplementation of paper https://arxiv.org/abs/1705.08665
A Python implementation of global optimization with gaussian processes.
code for paper Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020
Caffe for Sparse and Low-rank Deep Neural Networks
Convert Caffe models to PyTorch
Implementation of Camelyon'16 grand challenge
Essential Cheat Sheets for deep learning and machine learning researchers
Open or Easy Access Clinical Data Sources for Biomedical Research
Cloudy Vision is an open source tool to test the image labeling capabilities of different computer vision API vendors.
This repository contains adaptations of the state-of-the-art deep learning based object detection models for the detection of cell nuclei in histology images
COCO API - Dataset @ http://cocodataset.org/
Easy benchmarking of all publicly accessible implementations of convnets
Memory consumption and FLOP count estimates for convnets
Implementation of convolution layer in different flavors
Segmentation and Classification models for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN.
Continuation of CP-TPM-CNN.. Based on my master thesis https://www.researchgate.net/publication/319623885_Deep_Compression_of_Convolutional_Neural_Networks_with_Low-Rank_Approximation