Action localization networks are often structured as a feature encoder sub-network and a
localization sub-network, where the feature encoder learns to transform an input video to …

Efficient action recognition has become crucial to extend the success of action recognition to
many real-world applications. Contrary to most existing methods, which mainly focus on …

Recently, significant efforts have been made to enable WiFi-based gesture recognition.
However, models trained with data collected from specific domain suffer from significant …

Convolutional Neural Networks are the de facto models for image recognition. However 3D
CNNs, the straight forward extension of 2D CNNs for video recognition, have not achieved …

In recent years, the use of WiFi Channel State Information (CSI) for Human Activity
Recognition (HAR) has attracted widespread attention, thanks to its low cost and non …

Dynamic hand gesture acting as a semaphoric gesture is a practical and intuitive mid-air
gesture interface. Nowadays benefiting from the development of deep convolutional …

In this paper, we explore the details in video recognition with the aim to improve the
accuracy. It is observed that most failure cases in recent works fall on the mis-classifications …

Human gesture recognition has become an important aspect of human–computer interaction
due to the rapid development of human behavior sensing technology in Wi-Fi environments …

Camera calibration is very important for some vision tasks, like rendering 3D scenes,
environment reconstruction, and self-localization, etc. In this paper, we propose a framework …

Compared with systems rely on wearable sensors, cameras or other devices, WiFi-based
gesture recognition systems are convenient, non-contact and privacy-friendly, which have …