1 code implementation • 15 Jul 2023 • Tianyu Guo, Mengyuan Liu, Hong Liu, Wenhao Li, Jingwen Guo, Tao Wang, Yidi Li
Considering the instance-level discriminative ability, contrastive learning methods, including MoCo and SimCLR, have been adapted from the original image representation learning task to solve the self-supervised skeleton-based action recognition task.
no code implementations • 3 Mar 2023 • Tao Wang, Mengyuan Liu, Hong Liu, Wenhao Li, Miaoju Ban, Tuanyu Guo, Yidi Li
In this paper, different from most previous works that discard the occluded region, we propose a Feature Completion Transformer (FCFormer) to implicitly complement the semantic information of occluded parts in the feature space.
no code implementations • 22 Mar 2022 • Yidi Li, Yiqun Wang, Zhengda Lu, Jun Xiao
Limited by the computational efficiency and accuracy, generating complex 3D scenes remains a challenging problem for existing generation networks.
1 code implementation • 14 Dec 2021 • Yidi Li, Hong Liu, Hao Tang
Multi-modal fusion is proven to be an effective method to improve the accuracy and robustness of speaker tracking, especially in complex scenarios.