244 citations · 966 across the 45 of their papers we have counts for
5 papers · 1 filter
Multi-Instance Visual-Semantic Embedding
Zhou Ren, Hailin Jin, Zhe Lin +2
Visual-semantic embedding models have been recently proposed and shown to be effective for image classification and zero-shot learning, by mapping images into a continuous semantic…
Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks
Quanzeng You, Jiebo Luo, Hailin Jin +1
Sentiment analysis of online user generated content is important for many social media analytics tasks. Researchers have largely relied on textual sentiment analysis to develop sys…
DeepFont: Identify Your Font from An Image
Zhangyang Wang, Jianchao Yang, Hailin Jin +4
As font is one of the core design concepts, automatic font identification and similar font suggestion from an image or photo has been on the wish list of many designers. We study t…
Real-World Font Recognition Using Deep Network and Domain Adaptation
Zhangyang Wang, Jianchao Yang, Hailin Jin +4
We address a challenging fine-grain classification problem: recognizing a font style from an image of text. In this task, it is very easy to generate lots of rendered font examples…
Collaborative Feature Learning from Social Media
Chen Fang, Hailin Jin, Jianchao Yang +1
Image feature representation plays an essential role in image recognition and related tasks. The current state-of-the-art feature learning paradigm is supervised learning from labe…