no code implementations • 27 Jul 2022 • Yang Liu, Jing Liu, Mengyang Zhao, Dingkang Yang, Xiaoguang Zhu, Liang Song
Video anomaly detection is a challenging task in the computer vision community.
no code implementations • 30 May 2022 • Hanqi Wang, Xiaoguang Zhu, Tao Chen, Chengfang Li, Liang Song
The results of the experiments support the advantages of our method.
1 code implementation • 23 Apr 2022 • Zhenghao Zhao, Ye Zhu, Xiaoguang Zhu, Yuzhang Shang, Yan Yan
Most current AI systems rely on the premise that the input visual data are sufficient to achieve competitive performance in various computer vision tasks.
no code implementations • 23 Feb 2022 • Xiaoguang Zhu, Ye Zhu, Haoyu Wang, Honglin Wen, Yan Yan, Peilin Liu
To solve the problem, we propose a multi-modality feature fusion network to combine the modalities of the skeleton sequence and RGB frame instead of the RGB video, as the key information contained by the combination of skeleton sequence and RGB frame is close to that of the skeleton sequence and RGB video.