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20142023
most citedMulti-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification

79 citations · 346 across the 26 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 2 cited

Multi-task Learning of Cascaded CNN for Facial Attribute Classification

Ni Zhuang, Yan Yan, Si Chen +1

Recently, facial attribute classification (FAC) has attracted significant attention in the computer vision community. Great progress has been made along with the availability of ch…

cs.CV2018★ 79 cited

Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification

Ni Zhuang, Yan Yan, Si Chen +2

Deep Neural Network (DNN) has recently achieved outstanding performance in a variety of computer vision tasks, including facial attribute classification. The great success of class…

cs.CV2018

Superpixel-guided Two-view Deterministic Geometric Model Fitting

Guobao Xiao, Hanzi Wang, Yan Yan +1

Geometric model fitting is a fundamental research topic in computer vision and it aims to fit and segment multiple-structure data. In this paper, we propose a novel superpixel-guid…

cs.CV2018★ 59 cited

Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting

Hanzi Wang, Guobao Xiao, Yan Yan +1

In this paper, we propose a simple and effective {geometric} model fitting method to fit and segment multi-structure data even in the presence of severe outliers. We cast the task…

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…