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. |
GaPro
18
1
|
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers | ICCV | 2023 |
| 02. |
XPhoneBERT
294
35
|
Model for Phoneme Representations for Text-to-Speech | InterSpeech | 2023 |
| 03. |
CREPS
29
1
|
Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis | CVPR | 2023 |
| 04. |
HyperCUT
11
1
|
HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering | CVPR | 2023 |
| 05. |
Anti-DreamBooth
202
16
|
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis | ICCV | 2023 |
| 06. |
ISBNet
112
22
|
Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution | CVPR | 2023 |