ChenyuGAO-CS
My research interests include but are not limited to machine learning and deep learning applied to music.
University of York
Pinned Repositories
Camera-Calibration
This is an unofficial implementation of Z. Zhang, IEEE Transactions 2000. "A flexible new technique for camera calibration"
ChenyuGAO-CS.github.io
Homepage
LightFaceNet
This tensorflow project is based on MobileFaceNet, which use SqueezeNet and ShuffleNet as stem CNN to improve speed.
MobileCount
code of MobileCount
SMA
The imdb files with SBD-Trans OCR for TextVQA dataset.
Stereo-Calibration
This is the codes of stereo calibration
theme-variation-data-preprocessing
Scripts for theme variation data preprocessing.
Variation-Markov
Implementation of Variation Markov
Variation-Transformer
Repository for Paper: Gao et al., Variation Transformer: New datasets, models, and comparative evaluation for symbolic music variation generation, in ISMIR 2024.
Variation-Transformer-Data-and-Model
This repository contains the datasets and models to reproduce the results of the paper: Gao et al., Variation Transformer: New datasets, models, and comparative evaluation for symbolic music variation generation, in ISMIR 2024.
ChenyuGAO-CS's Repositories
ChenyuGAO-CS/LightFaceNet
This tensorflow project is based on MobileFaceNet, which use SqueezeNet and ShuffleNet as stem CNN to improve speed.
ChenyuGAO-CS/MobileCount
code of MobileCount
ChenyuGAO-CS/SMA
The imdb files with SBD-Trans OCR for TextVQA dataset.
ChenyuGAO-CS/Camera-Calibration
This is an unofficial implementation of Z. Zhang, IEEE Transactions 2000. "A flexible new technique for camera calibration"
ChenyuGAO-CS/Stereo-Calibration
This is the codes of stereo calibration
ChenyuGAO-CS/ChenyuGAO-CS.github.io
Homepage
ChenyuGAO-CS/theme-variation-data-preprocessing
Scripts for theme variation data preprocessing.
ChenyuGAO-CS/Variation-Markov
Implementation of Variation Markov
ChenyuGAO-CS/Variation-Transformer
Repository for Paper: Gao et al., Variation Transformer: New datasets, models, and comparative evaluation for symbolic music variation generation, in ISMIR 2024.
ChenyuGAO-CS/Variation-Transformer-Data-and-Model
This repository contains the datasets and models to reproduce the results of the paper: Gao et al., Variation Transformer: New datasets, models, and comparative evaluation for symbolic music variation generation, in ISMIR 2024.
ChenyuGAO-CS/WSAL_released
The code for "Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes (TIP2019)"