Zobrazeno 1 - 10
of 1 011
pro vyhledávání: '"An, Gaoyun"'
Video Anomaly Detection (VAD), aiming to identify abnormalities within a specific context and timeframe, is crucial for intelligent Video Surveillance Systems. While recent deep learning-based VAD models have shown promising results by generating hig
Externí odkaz:
http://arxiv.org/abs/2403.19111
Autor:
Liu, Yang, Xia, Zhaoyang, Zhao, Mengyang, Wei, Donglai, Wang, Yuzheng, Siao, Liu, Ju, Bobo, Fang, Gaoyun, Liu, Jing, Song, Liang
Video anomaly detection is an essential yet challenging task in the multimedia community, with promising applications in smart cities and secure communities. Existing methods attempt to learn abstract representations of regular events with statistica
Externí odkaz:
http://arxiv.org/abs/2308.01537
Autor:
Song, Yuechan, Liu, Jinqiu, You, Jinxiang, Niu, Gaoyun, Lu, Jiangbo, Chen, Xiao-ming, Liu, Peng
Publikováno v:
In Acta Materialia 1 December 2024 281
Publikováno v:
In Expert Systems With Applications 15 October 2024 252 Part A
Publikováno v:
In Journal of Environmental Chemical Engineering October 2024 12(5)
Publikováno v:
In Pattern Recognition February 2025 158
In this paper, a novel approach via embedded tensor manifold regularization for 2D+3D facial expression recognition (FERETMR) is proposed. Firstly, 3D tensors are constructed from 2D face images and 3D face shape models to keep the structural informa
Externí odkaz:
http://arxiv.org/abs/2201.12506
Semantic segmentation methods can not directly identify abnormal objects in images. Anomaly Segmentation algorithm from this realistic setting can distinguish between in-distribution objects and Out-Of-Distribution (OOD) objects and output the anomal
Externí odkaz:
http://arxiv.org/abs/2201.05869
Autor:
Yang, Zhaoqilin, An, Gaoyun
The modeling, computational cost, and accuracy of traditional Spatio-temporal networks are the three most concentrated research topics in video action recognition. The traditional 2D convolution has a low computational cost, but it cannot capture the
Externí odkaz:
http://arxiv.org/abs/2112.02523
Autor:
Long, Lingzhi, Dai, Xiaoqing, Yao, Tingting, Zhang, Xiangyu, Jiang, Guoliang, Cheng, Xiaoyun, Jiang, Mao, He, Yijun, Peng, Zhangzhe, Hu, Gaoyun, Tao, Lijian, Meng, Jie
Publikováno v:
In Biomedicine & Pharmacotherapy September 2024 178