16 citations · 24 across the 5 of their papers we have counts for
5 papers
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection
Chen Zhang, Guorong Li, Yuankai Qi +4
Weakly supervised video anomaly detection aims to identify abnormal events in videos using only video-level labels. Recently, two-stage self-training methods have achieved signific…
Multi-Attention Network for Compressed Video Referring Object Segmentation
Weidong Chen, Dexiang Hong, Yuankai Qi +5
Referring video object segmentation aims to segment the object referred by a given language expression. Existing works typically require compressed video bitstream to be decoded to…
Predictive Learning: Using Future Representation Learning Variantial Autoencoder for Human Action Prediction
Yu Runsheng, Shi Zhenyu, Ma Qiongxiong +1
The unsupervised Pretraining method has been widely used in aiding human action recognition. However, existing methods focus on reconstructing the already present frames rather tha…
Deep Trans-layer Unsupervised Networks for Representation Learning
Wentao Zhu, Jun Miao, Laiyun Qing +1
Learning features from massive unlabelled data is a vast prevalent topic for high-level tasks in many machine learning applications. The recent great improvements on benchmark data…
Constrained Extreme Learning Machines: A Study on Classification Cases
Wentao Zhu, Jun Miao, Laiyun Qing
Extreme learning machine (ELM) is an extremely fast learning method and has a powerful performance for pattern recognition tasks proven by enormous researches and engineers. Howeve…