activity
20172019
most citedA Fast Face Detection Method via Convolutional Neural Network

13 citations · 36 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2019★ 1 cited

An Empirical Study of Propagation-based Methods for Video Object Segmentation

Hengkai Guo, Wenji Wang, Guanjun Guo +4

While propagation-based approaches have achieved state-of-the-art performance for video object segmentation, the literature lacks a fair comparison of different methods using the s…

cs.CV2018★ 13 cited

A Fast Face Detection Method via Convolutional Neural Network

Guanjun Guo, Hanzi Wang, Yan Yan +2

Current face or object detection methods via convolutional neural network (such as OverFeat, R-CNN and DenseNet) explicitly extract multi-scale features based on an image pyramid.…

cs.CV2018★ 4 cited

A New Target-specific Object Proposal Generation Method for Visual Tracking

Guanjun Guo, Hanzi Wang, Yan Yan +2

Object proposal generation methods have been widely applied to many computer vision tasks. However, existing object proposal generation methods often suffer from the problems of mo…

cs.CV2018★ 6 cited

Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression

Guanjun Guo, Hanzi Wang, Chunhua Shen +2

Despite recent progress, computational visual aesthetic is still challenging. Image cropping, which refers to the removal of unwanted scene areas, is an important step to improve t…

cs.CV2017★ 12 cited

Object Discovery via Cohesion Measurement

Guanjun Guo, Hanzi Wang, Wan-Lei Zhao +2

Color and intensity are two important components in an image. Usually, groups of image pixels, which are similar in color or intensity, are an informative representation for an obj…