Semantic segmentation generates comprehensive understanding of scenes through densely predicting the category for each pixel. High-level features from Deep Convolutional Neural Networks already demonstrate their effectiveness in semantic segmentation …
With the advance of omnidirectional panoramic technology, 360◦ imagery has become increasingly popular in the past few years. To better understand the 360◦ content, many works resort to the 360◦ object detection and various criteria have been …
Learning text representation is crucial for text classification and other language related tasks. There are a diverse set of text representation networks in the literature, and how to find the optimal one is a non-trivial problem. Recently, the …
Motion is an important clue for segmentation. In this paper, we leverage motion information densely represented by optical flow to assist the semantic segmentation task. Specifically, our framework takes both image and optical flow as input, where …
Guaranteed loans are a common way for enterprises to raise money from banks without any collateral in China. The enterprises are highly intertwined with each other, and hence form a densely connected guarantee network. As the economy is down in …
With the increasing availability and scale of data from Web 2.0, the ability to efficiently and timely analyze huge amounts of data is important for industry success. A number of real-time stream processing platforms have been developed, such as …
Ranking scientific articles is an important but challenging task, partly due to the dynamic nature of the evolving publication network. In this paper, we mainly focus on two problems:(1) how to rank articles in the heterogeneous network; and (2) how …