王财勇

中国科学院自动化研究所 , 在读博士
研究兴趣:生物特征识别人工智能与深度学习虹膜识别图计算与图数据挖掘

王财勇,中科院自动化所在读博士,目前研究方向为虹膜识别、深度学习、眼周识别, 图卷积神经网络,数据挖掘等。

   一年一度的国际生物特征识别顶会ICB2019的录取意见公布,我们中心有两篇被接受。一篇为我一作的,使用改进的基于attention机制的U-Net模型用于巩膜分割。另外一篇是我二作的,任民师弟完成的免对齐的虹膜识别。 这是我第一次投文章,被中,小小开心一下。

   被接受的文章列表:

[1] ScleraSegNet: an Improved U-Net Model with Attention for Accurate Sclera Segmentation

caiyong wang (University of Chinese Academy of Sciences)*; yong he (Hunan University of Technology); Yunfan Liu (Institute of Automation, Chinese Academy of Sciences); zhaofeng he (Beijing IrisKing Co., Ltd.); Ran He (Institute of Automation, Chinese Academy of Sciences); Zhenan Sun (Chinese of Academy of Sciences)

[2]  Alignment Free and Distortion Robust Iris Recognition

Min Ren (Center for Research on Intelligent Perception and Computing (CRIPAC), Institute of Automation, Chinese Academy of Sciences (CASIA), University of Chinese Academy of Sciences(UCAS))*; Caiyong Wang (Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences); Yunlong Wang (Center for Research on Intelligent Perception and Computing (CRIPAC) National Laboratory of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences (CASIA) ); Zhenan Sun (Chinese of Academy of Sciences); Tieniu Tan (NLPR, China)

PS. 本次被接受的关于虹膜识别的文章如下:
[1]. Adversarial Iris Super Resolution

Yanqing Guo (Dalian University of Technology)*; Qianyu Wang (Dalian University of Technology); Huaibo Huang (University of Chinese Academy of Sciences); Xin Zheng (Dalian University of Technology); zhaofeng he (Beijing IrisKing Co., Ltd.)

[2]. A Performance-Optimization Method for Reusable Fuzzy Extractor Based on Block Error Distribution of Iris Trait

Feng Zhu (School of Cyber Security, University of Chinese Academy of Sciences;State Key Laboratory of Information Security, Institute of Information Engineering Chinese Academy of Science); Shen Peisong (State Key Laboratory of Information Security, Institute of Information Engineering Chinese Academy of Science)*; Chen Chi (State Key Laboratory of Information Security, Institute of Information Engineering Chinese Academy of Science)

[3]. Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features

Juan E Tapia (Universidad Tecnologica de Chile)*; Claudia Arellano (Universidad Tecnologica de Chile)

[4].Iris Feature Extraction and Matching Method for Mobile Biometric Applications

Gleb Odinokikh (Samsung R&D Institute Russia)*

[5] Alignment Free and Distortion Robust Iris Recognition

Min Ren (Center for Research on Intelligent Perception and Computing (CRIPAC), Institute of Automation, Chinese Academy of Sciences (CASIA), University of Chinese Academy of Sciences(UCAS))*; Caiyong Wang (Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences); Yunlong Wang (Center for Research on Intelligent Perception and Computing (CRIPAC) National Laboratory of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences (CASIA) ); Zhenan Sun (Chinese of Academy of Sciences); Tieniu Tan (NLPR, China)

[6].  Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks

Daniel Kerrigan (University of Notre Dame); Mateusz M Trokielewicz (Warsaw University of Technology)*; Adam Czajka (University of Notre Dame); Kevin Bowyer (University of Notre Dame)

[7]. Learning-Free Iris Segmentation Revisited: A First Step Toward Fast Volumetric Operation Over Video Samples

Jeffery D Kinnison (University of Notre Dame)*; Mateusz M Trokielewicz (NASK); Camila Carballo (University of Notre Dame); Adam Czajka (University of Notre Dame); Walter Scheirer (University of Notre Dame)

[8]. Seg-Edge Bilateral Constraint Network for Iris Segmentation

Junxing Hu (University of Chinese Academy of Sciences; Beijing IrisKing Co., Ltd.); Hui Zhang (Beijing IrisKing Co., Ltd.)*; Lihu Xiao (Beijing IrisKing Co., Ltd.); Jing Liu (Beijing IrisKing Co., Ltd.); Xingguang Li (Beijing IrisKing Co., Ltd.); zhaofeng he (Beijing IrisKing Co., Ltd.); Ling Li (University of Chinese Academy of Sciences)

[9]. Towards Obtaining User Specific Stable Iris Codes Exploiting Low-Rank Tensor Space and Spatial Structure Aware Refinement for Better Iris Recognition

Kiran Raja (NTNU)*; Raghavendra Ramachandra (NTNU, Norway); Christoph Busch (Norwegian University of Science and Technology)

[10]. Iris + Ocular: Generalized Iris Presentation Attack Detection Using Multiple Convolutional Neural Networks

Steven Hoffman (Michigan State University); Renu Sharma (Michigan State University)*; Arun Ross (Michigan State University, USA)

该用户暂时没有添加任何论文!

更新于:2019-06-17 17:38      累计访问量:1856

相关学者

最近来访

相同研究领域

同一单位

相同研究兴趣