Recently, prompt-based learning has made impressive progress on image class-
incremental learning, but it still lacks sufficient exploration in the video domain. In this paper …

We propose a compact and effective framework to fuse multimodal features at multiple
layers in a single network. The framework consists of two innovative fusion schemes. Firstly …

In this work, we present an efficient and powerful building block for video action recognition,
dubbed Glance and Combine Module (GCM). In order to obtain a broader perspective of the …

The goal of video super-resolution technique is to address the problem of effectively
restoring high-resolution (HR) videos from low-resolution (LR) ones. Previous methods …

Abstract Convolutional Neural Networks (CNNs) have been the dominant model for video
action recognition. Due to the huge memory and compute demand, popular action …

Efficient video architecture is the key to the deployment of video action recognition systems
on devices with limited computing capabilities. Unfortunately, existing video architectures …

A video content recognition method is performed by a computer device, the method
including: obtaining an image feature corresponding to a video frame set extracted from a …