Yiqiao Mao

2 accepted papers

2024

Live and Learn: Continual Action Clustering with Incremental Views

Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao, Yangdong Ye, Hui Yu

AAAI 2024technical

Multi-view action clustering leverages the complementary information from different camera views to enhance the clustering performance. Although existing approaches have achieved significant progress, they assume all camera views are available in advance, which is impractical when the camera view is…

Cited by 7 Source ↗PDF ↗Scholar ↗

2021

Deep Mutual Information Maximin for Cross-Modal Clustering

Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, Yangdong Ye

AAAI 2021technical

Cross-modal clustering (CMC) aims to enhance the clustering performance by exploring complementary information from multiple modalities. However, the performances of existing CMC algorithms are still unsatisfactory due to the conflict of heterogeneous modalities and the high-dimensional non-linear p…

Cited by 60 Source ↗PDF ↗Scholar ↗