crosstyan/OpenGait
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Dongyang Jin
2025-05-24 16:32:24 +08:00
committed by GitHub
parent b32097ef98
commit de5cb3b2f5
1 changed files with 1 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+1
View File
@@ -36,6 +36,7 @@ Our team's latest checkpoints for projects such as DeepGaitv2, SkeletonGait, Ske
- [Mar 2022] Dataset [GREW](https://www.grew-benchmark.org) is supported in [datasets/GREW](./datasets/GREW). --> - [Mar 2022] Dataset [GREW](https://www.grew-benchmark.org) is supported in [datasets/GREW](./datasets/GREW). -->
## Our Works ## Our Works
- [**CVPR'25**] On Denoising Walking Videos for Gait Recognition. The paper will come soon.
- [**Chao's Thesis**] Gait Representation Learning and Recognition, [Chinese Original](https://www.researchgate.net/publication/388768605_butaitezhengxuexiyushibiesuanfayanjiu) and [English Translation](https://www.academia.edu/127496287/Gait_Representation_Learning_and_Recognition). - [**Chao's Thesis**] Gait Representation Learning and Recognition, [Chinese Original](https://www.researchgate.net/publication/388768605_butaitezhengxuexiyushibiesuanfayanjiu) and [English Translation](https://www.academia.edu/127496287/Gait_Representation_Learning_and_Recognition).
- [**AAAI'25**] Exploring More from Multiple Gait Modalities for Human Identification, [*Paper*](https://arxiv.org/pdf/2412.11495) and [*MultiGait++ Code*](opengait/modeling/models/multigait++.py). - [**AAAI'25**] Exploring More from Multiple Gait Modalities for Human Identification, [*Paper*](https://arxiv.org/pdf/2412.11495) and [*MultiGait++ Code*](opengait/modeling/models/multigait++.py).
- [**TBIOM'24**] A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets, and Challenges, [*Survey Paper*](https://arxiv.org/pdf/2206.13732). - [**TBIOM'24**] A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets, and Challenges, [*Survey Paper*](https://arxiv.org/pdf/2206.13732).