Efficient Video Processing

This paper accelerates video perception, such as semantic segmentation and human pose estimation, by levering cross-frame redundancies. …

This paper aims to accelerate video stream processing, such as object detection and semantic segmentation, by leveraging the temporal …

High-resolution images are widely adopted for high-performance object detection in videos. However, processing high-resolution inputs …

In this paper, we propose a conditional early exiting framework for efficient video recognition. While existing works focus on …

We propose Skip-Convolutions to leverage the large amount of redundancies in video streams and save computations. Each video is …