CASIA OpenIR

浏览/检索结果: 共10条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Reparameterizing and dynamically quantizing image features for image generation 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 146, 页码: 11
作者:  Sun, Mingzhen;  Wang, Weining;  Zhu, Xinxin;  Liu, Jing
Adobe PDF(3612Kb)  |  收藏  |  浏览/下载:114/12  |  提交时间:2023/12/21
Vector quantization  Variational auto-encoder  Unconditional image generation  Text-to-image generation  Autoregressive generation  
Contrastive attention network with dense field estimation for face completion 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 124, 页码: 13
作者:  Ma, Xin;  Zhou, Xiaoqiang;  Huang, Huaibo;  Jia, Gengyun;  Chai, Zhenhua;  Wei, Xiaolin
Adobe PDF(3539Kb)  |  收藏  |  浏览/下载:307/59  |  提交时间:2022/02/16
Face completion  Unsupervised learning  Attention mechanism  3D Face analysis  
Articulated motion and deformable objects 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 79, 期号: 1, 页码: 55-64
作者:  Wan, Jun;  Escalera, Sergio;  Perales, Francisco J.;  Kittler, Josef
浏览  |  Adobe PDF(500Kb)  |  收藏  |  浏览/下载:346/98  |  提交时间:2018/10/08
Articulated Motion And Deformable Objects  Pose Estimation  Action Recognition  Gesture Recognition  Face Analysis  
Deep unsupervised learning with consistent inference of latent representations 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 77, 期号: 5, 页码: 438-453
作者:  Chang, Jianlong;  Wang, Lingfeng;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2654Kb)  |  收藏  |  浏览/下载:448/171  |  提交时间:2018/01/16
Deep Unsupervised Learning  Consistent Inference Of Latent Representations  
Hierarchically Supervised Deconvolutional Network for Semantic Video Segmentation 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 64, 期号: 1, 页码: 437-445
作者:  Wang, Yuhang;  Liu, Jing;  Li, Yong;  Fu, Jun;  Xu, Min;  Lu, Hanqing;  Jing Liu
浏览  |  Adobe PDF(1470Kb)  |  收藏  |  浏览/下载:604/255  |  提交时间:2017/02/20
Semantic Video Segmentation  Deconvolutional Neural Network  Coarse-to-fine Training  Spatio-temporal Consistence  
Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 2017, 期号: 65, 页码: 251-264
作者:  Wu, Yi-Chao;  Yin, Fei;  Liu, Cheng-Lin
浏览  |  Adobe PDF(1290Kb)  |  收藏  |  浏览/下载:1154/504  |  提交时间:2017/02/18
Handwritten Chinese Text Recognition  Feedforward Neural Network Language Model  Recurrent Neural Network Language Model  Hybrid Language Model  Convolutional Neural Network Shape Models  
Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 61, 期号: 61, 页码: 663-673
作者:  Shen, Wei;  Zhou, Mu;  Yang, Feng;  Yu, Dongdong;  Dong, Di;  Yang, Caiyun;  Zang, Yali;  Tian, Jie;  Feng Yang, Jie Tian
浏览  |  Adobe PDF(1358Kb)  |  收藏  |  浏览/下载:1291/598  |  提交时间:2016/10/21
Lung Nodule  Malignancy Suspiciousness  Convolutional Neural Network  Multi-crop Pooling  
Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context 期刊论文
PATTERN RECOGNITION, 2013, 卷号: 46, 期号: 10, 页码: 2807-2818
作者:  Yin, Fei;  Wang, Qiu-Feng;  Liu, Cheng-Lin
Adobe PDF(1946Kb)  |  收藏  |  浏览/下载:324/62  |  提交时间:2015/08/12
Transcript Mapping  Minimum Classification Error (Mce)  Dynamic Time Warping (Dtw)  Confidence Transformation (Ct)  Geometric Context  
Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition 期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 5, 页码: 1904-1916
作者:  Zhou, Xiang-Dong;  Zhang, Yan-Ming;  Tian, Feng;  Wang, Hong-An;  Liu, Cheng-Lin
浏览  |  Adobe PDF(751Kb)  |  收藏  |  浏览/下载:280/75  |  提交时间:2015/08/12
Semi-markov Conditional Random Fields  Minimum-risk Training  Character String Recognition  
Character confidence based on N-best list for keyword spotting in online Chinese handwritten documents 期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 5, 页码: 1880-1890
作者:  Zhang, Heng;  Wang, Da-Han;  Liu, Cheng-Lin
浏览  |  Adobe PDF(3340Kb)  |  收藏  |  浏览/下载:314/82  |  提交时间:2015/08/12
Online Chinese Handwritten Documents  Keyword Spotting  Posterior Probability  N-best List  Confidence Measure  Confusion Network