The 2024 2nd International Conference on Images, Signals, and Computing
(ICISC 2024)
8-10 June 2024, Chengdu, China
The 2024 2nd International Conference on Images, Signals, and Computing
(ICISC 2024)
8-10 June 2024, Chengdu, China
The 2024 2nd International Conference on Images, Signals, and Computing
(ICISC 2024)
8-10 June 2024, Chengdu, China
The 2024 2nd International Conference on Images, Signals, and Computing
(ICISC 2024)
8-10 June 2024, Chengdu, China

Keynote Speakers

Ajay Kumar

Professor, The Hong Kong Polytechnic University, China
President, IEEE Biometrics Council (2021-2022)
Editorial Board Member, IEEE Transactions on Pattern Analysis and Machine Intelligence (2019-) IEEE Fellow, IAPR Fellow

Title: Breaking Barriers in Biometrics: Crafting Powerful Deep Neural Networks for Precise Synthesis of Massive-Scale Datasets
Abstract: Deep neural network models are the cornerstone of cutting-edge AI algorithms for the biometrics-based identification of humans. However, training these models to achieve accuracy requires large, high-quality biometric databases. Unfortunately, recent privacy regulations such as GDPR have limited the acquisition and sharing of such databases, hindering biometric technology advancement. Fortunately, generative adversarial network (GAN) methods have proven effective in synthesizing biometric image databases. In this talk, we will discuss the limitations of current GAN-based models and introduce our own framework, which can synthesize large-scale biometric image datasets with unparalleled accuracy. Our framework specifically targets the generation of the intricate face and contactless fingerprint images, and we will share the most advanced results during the presentation.

Guoqing Wang

Professor, University of Electronic Science and Technology of China (UESTC)

Prof. Guoqing Wang received his Ph.D. degree in Jan 2021 from the University of New South Wales (UNSW). From April 2021, Dr. Wang joined the School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC) as a Professor. His current research interests include Computer Vision and Unmanned System. He has authored two books and more than 50 top-tier papers in these areas over various venues including IJCV, IEEE TIP, IEEE TIFS, ICCV, ACM MM, etc. He served as the Program Chair of 2022 International Symposium on Connected and Autonomous Vehicles (SoCAV 2022), the Session and Area Chairs for ACM MM 2021 and ICME 2022, and the regular (Senior) TPC of CVPR, ICCV, ECCV, ACM MM, AAAI, IJCAI. He also serves as the guest editor of several international journals. He is the recipient of the Dean’s Award for Outstanding PhD Theses (2021), UNSW/CSIRO Full Postgraduate Scholarships (2017-2021) and ICCV Student Travel Grant (2019). Prof. Wang hosts/participates numbers of national major projects, including the Scientific Innovation 2030 Major Project for New Generation of AI, the National Natural Science Foundation of China, Australian National R&D project, etc.

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