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CASIA OpenIR

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Unconstrained end-to-end text reading with feature rectification 期刊论文
PATTERN RECOGNITION LETTERS, 2021, 卷号: 149, 页码: 1-8
作者:  Du, Chen;  Wang, Yanna;  Wang, Chunheng;  Xiao, Baihua;  Shi, Cunzhao
Adobe PDF(1133Kb)  |  收藏  |  浏览/下载：286/56  |  提交时间：2021/11/02
Text recognition  Text detection  Position-sensitive network  Features incompatibility  End-to-end  
A Deep-Learning Model With the Attention Mechanism Could Rigorously Predict Survivals in Neuroblastoma 期刊论文
FRONTIERS IN ONCOLOGY, 2021, 卷号: 11, 页码: 14
作者:  Feng, Chenzhao;  Xiang, Tianyu;  Yi, Zixuan;  Meng, Xinyao;  Chu, Xufeng;  Huang, Guiyang;  Zhao, Xiang;  Chen, Feng;  Xiong, Bo;  Feng, Jiexiong
收藏  |  浏览/下载：176/0  |  提交时间：2021/11/02
neuroblastoma  survival  deep-learning (DL)  individual therapy  transcriptome  
Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 6, 页码: 2858-2869
作者:  Zhao, Bo;  Liu, Derong;  Alippi, Cesare
收藏  |  浏览/下载：214/0  |  提交时间：2021/08/15
Optimal control  Perturbation methods  Nonlinear systems  Uncertainty  Cost function  Stability analysis  Adaptive systems  Adaptive critic designs  adaptive dynamic programming (ADP)  optimal control  sliding mode surface (SMS)  unknown mismatched perturbations  
An effective binarization method for disturbed camera-captured document images 会议论文
, Niagara Falls,USA, 2018/08/05
作者:  Zhao JY(赵晋媛);  Shi CZ(史存召);  Jia FX(贾馥溪);  Wang YN(王燕娜);  Xiao BH(肖柏华)
Adobe PDF(579Kb)  |  收藏  |  浏览/下载：146/52  |  提交时间：2021/05/26
Adversarial learning based attentional scene text recognizer 期刊论文
PATTERN RECOGNITION LETTERS, 2020, 卷号: 138, 期号: 1, 页码: 217-222
作者:  Zhao, Jinyuan;  Wang, Yanna;  Xiao, Baihua;  Shi, Cunzhao;  Jiang, Jingzhong;  Wang, Chunheng
Adobe PDF(1152Kb)  |  收藏  |  浏览/下载：339/82  |  提交时间：2021/01/07
Scene text recognition  Generative adversarial network  Image rectification  
Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4330-4340
作者:  Zhao, Bo;  Liu, Derong;  Luo, Chaomin
收藏  |  浏览/下载：199/0  |  提交时间：2021/01/07
Nonlinear systems  Optimal control  Artificial neural networks  Actuators  Observers  Feedforward systems  Adaptive dynamic programming (ADP)  neural networks (NNs)  optimal control  reinforcement learning (RL)  uncertain input constraints  unknown nonlinear systems  
DetectGAN: GAN-based text detector for camera-captured document images 期刊论文
INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2020, 卷号: 23, 期号: 4, 页码: 267-277
作者:  Zhao, Jinyuan;  Wang, Yanna;  Xiao, Baihua;  Shi, Cunzhao;  Jia, Fuxi;  Wang, Chunheng
Adobe PDF(3817Kb)  |  收藏  |  浏览/下载：296/53  |  提交时间：2020/09/21
Text detection  Camera-captured document images  Multi-scale context features  Generative adversarial networks  
The Role and Challenges of Body Channel Communication in Wearable Flexible Electronics 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2020, 卷号: 14, 期号: 2, 页码: 283-296
作者:  Zhao, Bo;  Mao, Jingna;  Zhao, Jian;  Yang, Huazhong;  Lian, Yong
收藏  |  浏览/下载：169/0  |  提交时间：2020/06/02
Body channel communication (BCC)  flexible electronic  sensor  transceiver  wearable device  
Unsupervised Part-Based Weighting Aggregation Unsupervised Part-Based Weighting Aggregation 会议论文
, 美国, 2018-2
作者:  Xu, Jian;  Shi, Cunzhao;  Qi, Chengzuo;  Wang, Chunheng;  Xiao, Baihua
浏览  |  Adobe PDF(1590Kb)  |  收藏  |  浏览/下载：225/68  |  提交时间：2020/04/23
Event-Triggered Decentralized Tracking Control of Modular Reconfigurable Robots Through Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 卷号: 67, 期号: 4, 页码: 3054-3064
作者:  Zhao, Bo;  Liu, Derong
收藏  |  浏览/下载：240/0  |  提交时间：2020/03/30
Decentralized control  Couplings  Optimal control  Robots  Dynamic programming  Artificial neural networks  Trajectory  Adaptive dynamic programming  decentralized tracking control  event-triggered mechanism  modular reconfigurable robots  optimal control  reinforcement learning