Video Frame Interpolation (VFI) is a fascinating and challenging problem in the computer
vision (CV) field, aiming to generate non-existing frames between two consecutive video …

Video frame interpolation is an important area in the computer vision research activities for
video post-processing, surveillance, and video restoration tasks. It aims toward increasing …

Most of the current action recognition algorithms are based on deep networks which stack
multiple convolutional, pooling and fully connected layers. While convolutional and fully …

Video frame interpolation aims to synthesize new intermediate frames between existing
ones, which is an important task in video enhancement. A classic direction in this field is flow …

Despite recent progress in static image segmentation, video segmentation is still
challenging due to the need for an accurate, fast, and temporally consistent model …

As we all know, video frame rate determines the quality of the video. The higher the frame
rate, the smoother the movements in the picture, the clearer the information expressed, and …

In this paper, we propose a two‐step temporal interpolation network using forward advection
to generate smoke simulation efficiently. By converting a low frame rate smoke simulation …

Nowadays, video contents are ubiquitous through the popular use of internet and
smartphones, as well as social media. Many daily life applications such as video …

Most of the current action recognition algorithms are based on deep networks which stack
multiple convolutional, pooling and fully connected layers. While convolutional and fully …