28 citations · 51 across the 5 of their papers we have counts for
5 papers
Learning Image Aesthetic Assessment from Object-level Visual Components
Jingwen Hou, Sheng Yang, Weisi Lin +2
As it is said by Van Gogh, great things are done by a series of small things brought together. Aesthetic experience arises from the aggregation of underlying visual components. How…
Progressive Self-Guided Loss for Salient Object Detection
Sheng Yang, Weisi Lin, Guosheng Lin +2
We present a simple yet effective progressive self-guided loss function to facilitate deep learning-based salient object detection (SOD) in images. The saliency maps produced by th…
A Dilated Inception Network for Visual Saliency Prediction
Sheng Yang, Guosheng Lin, Qiuping Jiang +1
Recently, with the advent of deep convolutional neural networks (DCNN), the improvements in visual saliency prediction research are impressive. One possible direction to approach t…
Towards Robust Curve Text Detection with Conditional Spatial Expansion
Zichuan Liu, Guosheng Lin, Sheng Yang +3
It is challenging to detect curve texts due to their irregular shapes and varying sizes. In this paper, we first investigate the deficiency of the existing curve detection methods…
Learning Markov Clustering Networks for Scene Text Detection
Zichuan Liu, Guosheng Lin, Sheng Yang +3
A novel framework named Markov Clustering Network (MCN) is proposed for fast and robust scene text detection. MCN predicts instance-level bounding boxes by firstly converting an im…