64 citations · 107 across the 14 of their papers we have counts for
6 papers · 1 filter
Audio-visual Representation Learning for Anomaly Events Detection in Crowds
Junyu Gao, Maoguo Gong, Xuelong Li
In recent years, anomaly events detection in crowd scenes attracts many researchers' attention, because of its importance to public safety. Existing methods usually exploit visual…
Hierarchical Multimodal Transformer to Summarize Videos
Bin Zhao, Maoguo Gong, Xuelong Li
Although video summarization has achieved tremendous success benefiting from Recurrent Neural Networks (RNN), RNN-based methods neglect the global dependencies and multi-hop relati…
Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer
Junyu Gao, Maoguo Gong, Xuelong Li
Crowd localization is a new computer vision task, evolved from crowd counting. Different from the latter, it provides more precise location information for each instance, not just…
AudioVisual Video Summarization
Bin Zhao, Maoguo Gong, Xuelong Li
Audio and vision are two main modalities in video data. Multimodal learning, especially for audiovisual learning, has drawn considerable attention recently, which can boost the per…
Nucleus Neural Network: A Data-driven Self-organized Architecture
Jia Liu, Maoguo Gong, Haibo He
Artificial neural networks which are inspired from the learning mechanism of brain have achieved great successes in many problems, especially those with deep layers. In this paper,…
Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
Yu Zhao, Rennong Yang, Guillaume Chevalier +1
Human activity recognition (HAR) has become a popular topic in research because of its wide application. With the development of deep learning, new ideas have appeared to address H…