212 citations · 1k across the 74 of their papers we have counts for
10 papers · 1 filter
A new humanlike facial attractiveness predictor with cascaded fine-tuning deep learning model
Jie Xu, Lianwen Jin, Lingyu Liang +2
This paper proposes a deep leaning method to address the challenging facial attractiveness prediction problem. The method constructs a convolutional neural network of facial beauty…
SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception
Duorui Xie, Lingyu Liang, Lianwen Jin +2
In this paper, a novel face dataset with attractiveness ratings, namely, the SCUT-FBP dataset, is developed for automatic facial beauty perception. This dataset provides a benchmar…
Fingertip in the Eye: A cascaded CNN pipeline for the real-time fingertip detection in egocentric videos
Xiaorui Liu, Yichao Huang, Xin Zhang +1
We introduce a new pipeline for hand localization and fingertip detection. For RGB images captured from an egocentric vision mobile camera, hand and fingertip detection remains a c…
DeepWriterID: An End-to-end Online Text-independent Writer Identification System
Weixin Yang, Lianwen Jin, Manfei Liu
Owing to the rapid growth of touchscreen mobile terminals and pen-based interfaces, handwriting-based writer identification systems are attracting increasing attention for personal…
An Open Source Testing Tool for Evaluating Handwriting Input Methods
Liquan Qiu, Lianwen Jin, Ruifen Dai +2
This paper presents an open source tool for testing the recognition accuracy of Chinese handwriting input methods. The tool consists of two modules, namely the PC and Android mobil…
Improved Deep Convolutional Neural Network For Online Handwritten Chinese Character Recognition using Domain-Specific Knowledge
Weixin Yang, Lianwen Jin, Zecheng Xie +1
Deep convolutional neural networks (DCNNs) have achieved great success in various computer vision and pattern recognition applications, including those for handwritten Chinese char…
Recognition Confidence Analysis of Handwritten Chinese Character with CNN
Meijun He, Shuye Zhang, Huiyun Mao +1
In this paper, we present an effective method to analyze the recognition confidence of handwritten Chinese character, based on the softmax regression score of a high performance co…
DropSample: A New Training Method to Enhance Deep Convolutional Neural Networks for Large-Scale Unconstrained Handwritten Chinese Character Recognition
Weixin Yang, Lianwen Jin, Dacheng Tao +2
Inspired by the theory of Leitners learning box from the field of psychology, we propose DropSample, a new method for training deep convolutional neural networks (DCNNs), and apply…
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps
Zhuoyao Zhong, Lianwen Jin, Zecheng Xie
Just like its great success in solving many computer vision problems, the convolutional neural networks (CNN) provided new end-to-end approach to handwritten Chinese character reco…
Character-level Chinese Writer Identification using Path Signature Feature, DropStroke and Deep CNN
Weixin Yang, Lianwen Jin, Manfei Liu
Most existing online writer-identification systems require that the text content is supplied in advance and rely on separately designed features and classifiers. The identification…