In this paper, we propose a method for improving the angular accuracy an...
Color selection plays a critical role in graphic document design and req...
Diffusion models have the ability to generate high quality images by
den...
Current large-scale generative models have impressive efficiency in
gene...
Vector graphic documents present multiple visual elements, such as image...
Graph Neural Networks (GNNs) are deep learning models that take graph da...
Quantum synchronizable codes are kinds of quantum error-correcting codes...
Quantum synchronizable codes are kinds of quantum error-correcting codes...
With expansion of the video advertising market, research to predict the
...
Pretext tasks and contrastive learning have been successful in
self-supe...
In this study, we address image retargeting, which is a task that adjust...
We propose a self-supervised method to learn feature representations fro...
The spread of social networking services has created an increasing deman...
Recently, 3D convolutional networks (3D ConvNets) yield good performance...
Background and Objective: Object detection is a primary research interes...
Recently, 3D convolutional networks yield good performance in action
rec...
Conventional video summarization approaches based on reinforcement learn...
In this paper, we propose a new measure to estimate the similarity betwe...
In this paper we propose a method that can enhance the social popularity...