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. |
LeMul
51
4
|
Reconstruction with Unsupervised Learning from Multiple Images | ICCV | 2021 |
02. |
3D-UCaps
70
14
|
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation | MICCAI | 2021 |
03. |
Point-Unet
33
6
|
A Context-aware Point-based Neural Network for Volumetric Segmentation | MICCAI | 2021 |
04. |
TPC-tensorflow
13
2
|
Temporal Predictive Coding for Model-based Planning in Latent Space | ICML | 2021 |
05. |
Dict-guided
138
39
|
Dictionary-guided Scene Text Recognition | CVPR | 2021 |
06. |
Blur-kernel-space-exploring
145
34
|
Explore Image Deblurring via Blur Kernel Space | CVPR | 2021 |