Oct 13, 2017 · Users who share visually similar images are likely having follower/followee relationships, regardless of the origins and the content sharing ...

Using machine-generated labels to annotate those images is a reliable for user connections discovery on social networks. The machine-generated labels are ...

To the best of the knowledge, this is the first attempt in related fields to characterize such phenomenon by massive user-shared images collected from ...

Abstract—Billions of user images, which are shared on social media, can be widely accessible by others due to their sharing nature.

This thesis introduces a novel way to detect social signals from low level visual features, and to represent them with unbiased machine-generated labels to ...

Human beings are born social. In the social media era, we share and interact with others digitally, forming online social graphs and sharing billions of images.

Oct 22, 2024 · This work investigated over 360,000 user shared images from two social networks, Skyrock and 163 Weibo, in which 3 million follower/followee ...

Billions of user images, which are shared on social media, can be widely accessible by others due to their sharing nature. Using machine-generated lab...... 小 ...

This paper proposes a CNN-based analytic framework to detect social signals among users. The CNN is optimized using a triplet network with user-shared images, ...

To the best of our knowledge, Videre is the first framework for automatically identifying non-consensual photos on social networks. The main contributions of ...