Codes & Datasets
We publicly released source code implementations and datasets developed for our research, hoping that they will facilitate further AI research and applications.
Released Source Codes
NO |
Code |
Paper |
Conference |
Year |
---|---|---|---|---|
01. |
HyperInverter
107
12
|
Improving StyleGAN Inversion via Hypernetwork | CVPR | 2022 |
02. |
PointSWD
7
2
|
Point-set Distances for Learning Representations of 3D Point Clouds | ICCV | 2021 |
03. |
BARTpho
88
7
|
BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese | InterSpeech | 2021 |
04. |
LeMul
50
4
|
Reconstruction with Unsupervised Learning from Multiple Images | ICCV | 2021 |
05. |
3D-UCaps
58
11
|
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation | MICCAI | 2021 |
06. |
Point-Unet
29
6
|
A Context-aware Point-based Neural Network for Volumetric Segmentation | MICCAI | 2021 |