2024 International Conference on Pattern Recognition and Image Analysis(PRIA 2024)

Speakers

Keynote Speakers


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Prof. Lu Leng

Nanchang Hangkong University


LU LENG receivedhis Ph.D degree from Southwest Jiaotong University, Chengdu, P. R. China, in 2012. He performed his postdoctoral research at Yonsei University, Seoul, South Korea, and Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China. He was a visiting scholar at West Virginia University, USA, and Yonsei University, South Korea. Currently, he is a full professor, the dean of Institute ofComputerVision, and the office director of Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognitionat Nanchang Hangkong University.Prof. Leng has published more than 100 international journal and conference papers, including more than 70 SCI papers and three highly cited papers. He hasbeen granted several scholarships and funding projects, including five projects supported by National Natural Science Foundation of China (NSFC). Heserves as a reviewer ofmore than 100 international journals and conferences. His research interests include computer vision, biometric template protection and biometric recognition.Prof. Leng is an outstanding representative of"Innovation Talent" ofJiangxi Enterprise in"Science and Technology China", received "Jiangxi Youth May Fourth Medal", "Jiangxi Hundred-Thousand-Ten-thousand Talent Project", "Jiangxi Voyage Project", etc.

Title: Fusion Technologies in Biometric Recognition

Abstract: Fusion inbiometricrecognition can have manybenefits, including higher accuracy,improved availability,higher degree of freedom,less susceptible to spoof attacks,higher robustness. Fusioncan be performed at image level, feature level, score level, decision level.This speech compares the advantages and disadvantages of fusions at different levels. In addition, this speech introduces some SOTA fusion technologies in hand biometrics, which can be flexibly extended and transplanted to other biometric modalities and tasks of computer vision, such as pattern recognition and image analysis.

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Prof. Shitong Wang

JiangNan University


Shitong Wang received the M.S. degree in computer science from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 1987. He visited London University, Bristol University, U.K., Hiroshima International University, Osaka Prefecture University, Hong Kong University of Science and Technology, and Hong Kong Polytechnic University as a Research Scientist/visiting professor for over eight years. He have authored/co-authored 90 papers in several IEEE TRANSACTIONS journals. He is currently a Full Professor with the School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China.


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Associate Prof.Xiaoyan Jiang

Shanghai University of Engineering Science

Xiaoyan Jiang is currently an associate professor in the School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, China. She received the Ph.D. degree in computer science from Friedrich-Schiller University of Jena, Germany, in 2015. Her research interests include semantic segmentation, pose estimation, person re-identification, multi-modal fusion, and SLAM.

She has 50 publications in the field of computer vision and machine learning including top journals and conferences. She holds multiple funds both from research organizations and enterprises aiming to design AI solutions for practical scenarios. She is the associate editor of Applied Intelligence (impact factor: 5.3), the PC Member of ICPCSEE2019, the keynote speaker inICFTIC2019, IWITC2021, and CISE2023. She is the reviewer of several top journals and conferences, including TMM, TIP, TITS, TCSVT, ICME,