Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …

摘要随着摄像头安装数量的日益增多, 以及智慧城市和公共安全需求的日益增长,
采用人工的视频监控方式已经远远不能满足需要, 因此智能视频监控技术应运而生并迅速成为 …

Temporal sentence grounding aims to detect the most salient moment corresponding to the
natural language query from untrimmed videos. As labeling the temporal boundaries is labor …

In this paper, we explore the spatial redundancy in video recognition with the aim to improve
the computational efficiency. It is observed that the most informative region in each frame of …

Visual object tracking is a significant computer vision task which can be applied to many
domains, such as visual surveillance, human computer interaction, and video compression …

Inspired by the recent success of text-based question answering, visual question answering
(VQA) is proposed to automatically answer natural language questions with the reference to …

The key limiting factor in graphical model inference and learning is the complexity of the
partition function. We thus ask the question: what are the most general conditions under …

In this research, we analyze a Convolutional Long Short-Term Memory Recurrent Neural
Network (CNNLSTM) in the context of gesture recognition. CNNLSTMs are able to …

Visual surveillance of dynamic objects, particularly vehicles on the road, has been, over the
past decade, an active research topic in computer vision and intelligent transportation …