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. |
BARTpho
99
7
|
BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese | InterSpeech | 2021 |
| 02. |
LeMul
50
4
|
Reconstruction with Unsupervised Learning from Multiple Images | ICCV | 2021 |
| 03. |
3D-UCaps
69
14
|
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation | MICCAI | 2021 |
| 04. |
Point-Unet
33
6
|
A Context-aware Point-based Neural Network for Volumetric Segmentation | MICCAI | 2021 |
| 05. |
TPC-tensorflow
13
2
|
Temporal Predictive Coding for Model-based Planning in Latent Space | ICML | 2021 |
| 06. |
Dict-guided
141
40
|
Dictionary-guided Scene Text Recognition | CVPR | 2021 |