Codes & Datasets
We publicly released source code implementations and datasets developed for our research, with the hope that they will help facilitate further AI research and applications.
Released Source Codes
NO |
Code |
Paper |
Conference |
Year |
---|---|---|---|---|
01. |
3D-UCaps |
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation | MICCAI | 2021 |
02. |
Point-Unet |
A Context-aware Point-based Neural Network for Volumetric Segmentation | MICCAI | 2021 |
03. |
TPC-tensorflow |
Temporal Predictive Coding for Model-based Planning in Latent Space | ICML | 2021 |
04. |
Dict-guided |
Dictionary-guided Scene Text Recognition | CVPR | 2021 |
05. |
Blur-kernel-space-exploring |
Exploring Image Deblurring via Blur Kernel Space | CVPR | 2021 |
06. |
MagNet |
Progressive Semantic Segmentation | CVPR | 2021 |