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. |
Selfsup_pcd
8
2
|
About Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis | ACCV | 2022 |
| 02. |
tise-toolbox
34
2
|
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation | ECCV | 2022 |
| 03. | Network for Unsupervised Extreme-Light Image Enhancement | WACV | 2022 | |
| 04. |
COMBAT
0
1
|
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attack | AAAI | 2022 |
| 05. |
Fsvc-ata
24
0
|
Classification via Appearance and Temporal Alignments | ECCV | 2022 |
| 06. |
Counting-DETR
60
4
|
Few-shot Object Counting and Detection | ECCV | 2022 |