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Prof. Anil K. Jain Delivers Lecture at Beihang

Release time:March 13, 2019 / Li Mingzhu

Invited to visit the School of Computer Science and Engineering, Anil K. Jain, a world-renowned expert in biometrics recognition and University Distinguished Professor at Michigan State University, delivered a lecture entitled “Unconstrained Face Recognition” on the morning of March 6. The lecture was hosted by Prof. Wang Yunhong from the School of Computer Science and Engineering.

Focusing on face recognition, the lecture reviewed the history of this field and discussed topics like face recognition datasets and unconstrained face recognition. In the lecture, Prof. Anil K. Jain first talked about the significance of face recognition and the milestones in the development of face recognition algorithms and image acquisition hardware. He also analyzed the extension from constrained face recognition to unconstrained one and introduced IJB-S dataset, which was partly collected by him and is to be released soon, as well as the latest research progress made by his team with this dataset. According to him, major challenges still confront face recognition in unconstrained environments.

Next, Prof. Jain shared some studies by his team in the last two years, including DeepMDS, a method to extract features in low dimension for face recognition, and WarpGAN, an approach to generate comic portraits automatically. He also introduced the extension of face recognition technology into individual animal recognition, which is of great importance in the fields like endangered animal protection and animal breeding monitoring.

Finally, Prof. Jain summarized the lecture and noted a large number of important problems and challenges in face recognition. After the lecture, he received many questions from the teachers and students present and provided satisfactory answers to them. The event ended with enthusiastic applause from the audience.

Prof. Jain is a Member of the U.S. National Academy of Engineering (NAE), a Foreign Fellow of the Indian National Academy of Engineering (INAE) as well as a Fellow of ACM, IEEE, AAAS, IAPR, SPIE, etc. His research interests cover pattern recognition, computer vision and biometrics recognition. His prizes include Guggenheim, Humboldt, Fulbright, and King-Sun Fu Prize. He was Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence. He has published several monographs, such as Handbook of Face Recognition, Handbook of Fingerprint Recognition and Handbook of Multibiometrics, as well as hundreds of high-level papers. His research findings have been applied by international companies in biometrics recognition like NEC and Morpho, and he is very famous and influential in both academic and industrial communities. He was once rated as one of the most cited scholars in the field of computer science, with a Google h-index of 181 and nearly 190,000 citations.

Reported by Zhou Xiaoyi

Reviewed by Zhuang Jie

Edited by Jia Aiping

Translated by Li Mingzhu