no code implementations • 2 Mar 2024 • Chenchen Tao, Chong Wang, Yuexian Zou, Xiaohao Peng, Jiafei Wu, Jiangbo Qian
Most models for weakly supervised video anomaly detection (WS-VAD) rely on multiple instance learning, aiming to distinguish normal and abnormal snippets without specifying the type of anomaly.
no code implementations • 26 Dec 2023 • Yan Han, Xiaogang Xu, Yingqi Lin, Jiafei Wu, Zhe Liu
In existing Video Frame Interpolation (VFI) approaches, the motion estimation between neighboring frames plays a crucial role.
no code implementations • 26 Dec 2023 • Yingqi Lin, Xiaogang Xu, Yan Han, Jiafei Wu, Zhe Liu
First, a depth-aware feature extraction module is designed to inject depth priors into the image representation.
1 code implementation • 4 Aug 2021 • Weijie Liu, Chong Wang, Haohe Li, Shenghao Yu, Jiafei Wu
By adjusting the prediction distribution of the base detector using the output of this GCN, the proposed model serves as a hard auxiliary classification task, which guides the detector to improve the class representation implicitly.